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        "title": "NearWave - Realtime therapy efficacy for treating breast cancer patients",
        "tagline": "NearWave makes a new type of handheld imaging tech with AI that helps physicians select the right therapy for their breast cancer patients. ",
        "body": "**TL;DR We can tell within a week if chemotherapies in breast cancer are working or not, allowing physicians to stop or change therapies very quickly, rather than waiting 3-12 months. This saves patients months of side effects for the 70% of women that do not fully respond to cancer therapies, affecting the 4M women in the world diagnosed with invasive breast cancer each year. This will be the standard of care in the next 5 years.**\n\nHello to all my YC friends, I’m Roy and our team is building [NearWave.](https://nearwave.co/) Both my mother and grandmother are breast cancer survivors, as is my co-founder’s wife.  After going through the (often archaic) treatment process with them, we are on a personal mission to bring treatment relief for unnecessary side effects caused by ineffective and expensive treatments which currently costs the US health system $50B/yr. There is a nice video story [here](https://fightingfor.nd.edu/2023/fighting-for-breast-cancer-patients/).  We already have 4 systems sold to customers ($123k) and just received a letter that the FDA agrees with our regulatory pathway.\n\n**The Problem**\n\nOncologists have the difficult task of assessing the efficacy of chemotherapy drugs and proper dosing, with the majority of breast cancer patients not showing pathologic complete response (pCR). Imagine taking drugs that devastate your immune system, cause hair loss, nausea, later to find the treatment is ineffective. Further, it takes months to tell if a therapy is working. Those months are critical to survival for patients with aggressive disease progression.\n\n**Our Solution**\n\nNearWave's core imaging technology and accompanying prediction models have been shown in multi-center studies to predict pathologic complete response in breast cancer patients in as early as a week\\[[1](https://pubmed.ncbi.nlm.nih.gov/30338678/#:\\~:text=Notably%2C%20logistic%20regression%20based%20on,CI%3A%200.82%20to%201)\\]\\[[2](http://cancerres.aacrjournals.org/content/76/20/5933.short)\\]\\[[3](https://www.spiedigitallibrary.org/journals/journal-of-biomedical-optics/volume-29/issue-06/066001/Functional-hemodynamic-imaging-markers-for-the-prediction-of-pathological-outcomes/10.1117/1.JBO.29.6.066001.full#_=_)\\]. If oncologists knew efficacy in a few days, they would make real-time adjustments to therapy, personalizing care for each patient \\[[4](https://www.mendelspod.com/p/precision-oncology-at-the-community-544?utm_source=publication-search)\\].\n\n📸 Device and iPad app showing a tumor simulating phantom scanned with the system.\n\n![uploaded image](/media/?type=post&id=80934&key=user_uploads/749007/8f146342-1e4a-4bcb-a40f-639be01f52be)\n\nWhen a therapy is not showing a response, physicians can increase dosage, iterate to other therapies, or move to surgery much sooner, reducing side-effects for patients by as much as 50%, while reducing cost in direct-to-surgery cases. In the future we will expand our indication to cover benign/malignant lesion classification at the ob/gyn bed-side, where ½ the world population undergoes exams, a true **billion user** technology. \n\n**How it works**\n\nThe underlying technology uses [fdNIRS](https://nearwave.co/technology/fdnirs/), a form of near infrared spectroscopy which is deep tissue, non-invasive, does not require injectable contrast, and uses no ionizing radiation.  We measure the molecular absorption and scattering of light of biomarkers (blood, water, lipid) to monitor changes in metabolic and hemodynamic information in tissue \\[[5](https://opg.optica.org/boe/fulltext.cfm?uri=boe-12-11-7261&id=462776)\\]. Metabolic changes are an excellent indicator of therapy response, which our AI models use to categorize and predict the treatment outcomes. \n\n🌈 Here’s how light travels in tissue, and how it works with our system.\n\n![uploaded image](/media/?type=post&id=80934&key=user_uploads/749007/6ffa11ac-d114-48d8-a27b-8e50c0c1e2ab)\n\n🤖 Workflow for our AI model therapy response grading. Breast images are from a study patient responding to therapy.\n\n![uploaded image](/media/?type=post&id=80934&key=user_uploads/749007/2a7c993c-4938-4648-b042-61af9cdfe9f5)\n\n🤯 Here we visualize a 3d tumor, measured with our system on a physical tumor phantom of actual breast tissue properties.\n\n![uploaded image](/media/?type=post&id=80934&key=user_uploads/749007/e47ac6ad-99d0-4b3a-a421-9d535916dc28)\n\n**Asks**\n\nIf you know anyone affected by breast cancer that was a candidate for neoadjuvant chemotherapy, we’d love to talk to them to hear about their experience. Reach out to us [here](https://nearwave.co/company/contact/). \n\nIf you have 10 minutes to chat about what we’re doing, I’d be thrilled to book a time with you [here](https://calendly.com/roy-197/roy-15min?preview_source=et_card&month=2024-05&date=2024-05-20).  \n\nThank you. \n\nRoy & the NearWave Team",
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        "title": "Illuminant Surgical: A new way of seeing inside the human body",
        "tagline": "Displaying images directly on the patient for safer, faster procedures",
        "body": "**💡TL;DR**\n\n* We give doctors X-ray vision without the need for headsets or monitors.\n* It works in any operating room, requires zero wearables, and seamlessly integrates into existing workflows.\n* We're starting with spine surgery, pain management, and interventional radiology - 11M+ annual procedures in the U.S.\n\n![uploaded image](/media/?type=post&id=65365&key=user_uploads/636938/0a341696-1b40-4543-b52f-2cc145a6579f)\n\n**❌ The Problem: Patient Access Is Stuck In The 1800s**\n\nEvery year, hundreds of millions of procedures require precise access to internal anatomy. Whether placing a screw in the spine, inserting a needle for a biopsy, or advancing a catheter, precision is critical. Yet surgeons still rely on outdated tools: fluoroscopy, “feel”, and mental reconstruction, leading to inefficiencies, complications, and billions in unnecessary healthcare costs.\n\nThis has serious consequences:\n\n* For patients – misplaced implants, vascular injuries, and nerve damage result in repeat procedures, extended hospital stays, and life-altering complications.\n* For hospitals – preventable surgical revisions cost tens of billions annually in unnecessary expenses\n* For surgeons – Cumbersome tools and methods that extend case time, increase cognitive load, and limit the number of patients they can treat.\n\nSpine surgery and interventional access are two of the fastest-growing segments and also among the most accuracy-dependent.\n\nIn the US alone:\n\n* 1.6 M spine surgeries where millimeters can mean the difference between mobility and disability.\n* 9.5 M interventional procedures that rely on accurate percutaneous access to treat and diagnose hundreds of different conditions and diseases.\n\n**This is a $10B+ unmet need.**\n\n**🔎 Our Solution: See Inside The Patient in Real Time, Directly On The Body**\n\nWe’ve built a new way of seeing inside the human body: Skylight is the first real-time anatomical projection system built to solve the problems with patient access. Instead of forcing doctors to look away at a screen, Skylight projects anatomy directly onto the patient, like an AR display—but without headsets, wearables, or extra steps.\n\n![uploaded image](/media/?type=post&id=65365&key=user_uploads/636938/8f98ebe8-aa8b-44e5-aac5-1b03d5105bfd)\n\nTo make this happen, we’ve developed a novel method of tracking the patient with sub-millimeter accuracy and we’ve built this system to be universally compatible with industry-standard tools and scanners to allow adoption without changing workflow.\n\n![uploaded image](/media/?type=post&id=65365&key=user_uploads/636938/d4213fc6-0747-4211-8bc3-56a309fd14c9)\n\n**Just as fiber optics revolutionized how we do laparoscopy and minimally invasive surgeries, anatomical projection will become the new standard for patient access.**\n\n**Who We Are:**\n\nWe’re James and Eldrick, two Stanford engineers who first met as freshman dormmates and have now worked together for over a decade.\n\n💉James: MD, bioengineer, scientist, and medical device builder.\n\n⚙️ Eldrick: Experienced deep-tech founder. Built chips at Apple and led hardware-software teams at a lidar startup.\n\nWe’ve assembled a world-class team of engineers, clinicians, and medical device experts to solve tough problems at the intersection of medicine, computer vision, graphics, and hardware development.\n\n![uploaded image](/media/?type=post&id=65365&key=user_uploads/636938/f5a0197a-718d-45cf-b2bd-f71769312830)\n\n**We’re looking for:**\n\n🩺 Clinicians → If you do spine, pain management, or IR, let’s talk.\n\n🏥 Hospital Partners → Want to be at the forefront of procedural navigation? Reach out.\n\n📰 Media → We’re redefining how doctors see. Let’s get the word out.\n\nEmail us [founders@illuminant.ai](mailto:founders@illuminant.ai) 💡",
        "url": "https://www.ycombinator.com/launches/H0H-illuminant-surgical-a-new-way-of-seeing-inside-the-human-body",
        "votes": 95,
        "created_at": "2022-08-15T12:19:47.391Z"
      }
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  {
    "id": 27168,
    "name": "Relevium Medical",
    "slug": "relevium-medical",
    "former_names": [
      "Relevium",
      "ReleviumBio"
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    "website": "https://relevium-medical.com/",
    "all_locations": "Galway, County Galway, Ireland",
    "long_description": "Relevium Medical is developing an injectable gel for knee osteoarthritis. Approximately half the population will be diagnosed with this pain and progressive disease.\r\nRight now, patients have to undergo not only repeat injections to control their pain, but also have to take strong oral medications. Because the disease is progressive and only gets worse over time, many patients end up on highly addictive, high-dose opioids. \r\nTo date, we have secured $3.7 million in non dilutive funding and completed preclinical testing. We demonstrated that our drug is safe, selectively blocks nerves that transmit pain, and provides pain relief that lasts four times as long. \r\nInsurance currently pays $770 per six-monthly treatment for knee osteoarthritis. With 5 million patients in the US, this represents a $7.7 Bn market opportunity.\r\nThis platform biotherapeutic can also be used to treat other joints affects by osteoarthritis such as the hip and ankle, where the same problems exist in treatment care. ",
    "one_liner": "Platform injectable gel based therapeutic for osteoarthritis",
    "team_size": 5,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Therapeutics",
    "launched_at": 1653661401,
    "tags": [
      "Medical Devices",
      "Healthcare",
      "Therapeutics",
      "Drug discovery"
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    "batch": "Summer 2022",
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    "regions": [
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      "Europe"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/relevium-medical",
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    "year_founded": 2019,
    "city": "Galway",
    "country": "IE",
    "linkedin_url": "https://www.linkedin.com/company/releviummedical/",
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        "full_name": "Alison Liddy",
        "title": "Founder",
        "founder_bio": "Alison is CEO and Founder at Relevium Medical.  Alison holds qualifications in Chemistry and Biochemical Engineering (M.Sc. & Ph.D.). She has worked for major multinational companies including ROCHE, Cook Medical and Boston Scientific; and completed the BioInnovate Fellowship in the prestigious Stanford BioDesign-affiliated program at NUI Galway, Ireland. She is the named inventor on over 20 patent publications and the winner of the Science Foundation of Ireland’s €1 million innovation prize.",
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    "news": [
      {
        "title": "Galway’s Relevium Medical gets €4.6m funding for knee osteoarthritis treatment | Business Post",
        "url": "https://www.businesspost.ie/news/galways-relevium-medical-gets-e4-6m-funding-for-knee-osteoarthritis-treatment/",
        "date": "Dec 11, 2024"
      }
    ],
    "launches": [
      {
        "id": 65532,
        "title": "🚀🚀 Relevium Medical",
        "tagline": "Advancing Long-Lasting Solutions for Chronic Pain",
        "body": "**The problem:** The chronic pain condition Knee osteoarthritis (OA) affects over 250 million people globally, creating significant social and healthcare challenges, with **untreated pain being the #1 patient complaint**.  In the absence of effective long-term injectable treatments, millions of patients rely on damaging oral medications. \n\nCapsaicin, offers long-lasting, selective pain relief for chronic pain via molecular ablation of pain-sensing nerves only. Despite FDA approval and proven safety and efficacy, its adoption is limited by **intense burning pain** post-administration, requiring over **1.5 hours of clinic management and making it intolerable for many patients**. This has restricted the use of an otherwise highly effective treatment for chronic pain.\n\n**Our solution:** RM-010 was specifically developed to address the burning pain associated with Capsaicin. Relevium Medical has engineered an innovative drug delivery system that gradually releases Capsaicin into the knee joint, carefully maintaining concentrations **below the threshold that triggers burning pain** while sustaining levels high enough to achieve full nerve ablation. This breakthrough offers patients a highly tolerable, effective, and safe treatment, delivering long-lasting pain relief with a significantly improved experience. RM-010 is designed for seamless integration into clinical workflows, allowing physicians to administer the therapy in **5 minutes**. It provides a practical, patient-friendly solution for effectively managing knee osteoarthritis pain, setting a new standard in treatment care.\n\n![uploaded image](/media/?type=post&id=65532&key=user_uploads/896081/10efad73-299c-4cd5-9c87-0a4e0f19f1bb)\n\n**Who are are:**  Relevium Medical, headquartered in Galway, Ireland, is a pioneering pharmaceutical company driven by a passionate team of chemists, neuroscientists, pharmacists, and industry experts. United by a shared mission, the team is dedicated to developing novel solutions to improve the lives of people living with chronic pain.\n\n**Interested in hearing more**: Get in contact at [info@Relevium-Medical.com](mailto:info@Relevium-Medical.com)",
        "url": "https://www.ycombinator.com/launches/H2y-relevium-medical",
        "votes": 18,
        "created_at": "2022-08-22T13:44:28.458Z"
      },
      {
        "id": 64408,
        "title": "ReleviumBio - Life changing Innovation",
        "tagline": "ReleviumBio is developing a platform peptide gel-based therapy for Osteoarthritis",
        "body": "![uploaded image](/media/?type=post&id=64408&key=user_uploads/854295/770094dd-9ea7-4b87-96db-dfa446ca3b6e)\n\n[www.ReleviumBio.com](http://www.ReleviumBio.com)\n\n**Problem** \\\nThere has been no disruptive treatment for knee osteoarthritis (KOA) in over 50 years, with 80% of patients reliant on damaging medications. The shortcomings of the current injectable treatments leave 2 million US patients reliant on opioids for adequate pain relief. The number one KOA patient complaint is pain, with regenerative therapies to date failing to demonstrate a measurable patient outcome.\n\n**Solution** \\\nUp to recently, it was believed KOA was a disease of wear and tear. The latest scientific evidence however shows it to be a complex whole-organ disease, affecting multiple tissues and with different disease patterns for different patients. This evidence highlights the need for a multimodal approach to effectively treat this complex disease. PeptiFlex is the first multimodal injectable therapeutic developed for KOA that gives not only pain relief but also lubricates and preserves the joint.\n\n**How it works** \\\nOur novel multimodal therapeutic is based on a peptide component (315y) covalently bound to a polymer gel base. This patent-protected biotherapeutic achieves its effects through three complementary and synergistic effects. The biotherapeutic is injected directly into the knee joint to give immediate long-acting relief.\n\n**Pain Relief Effect**: PeptiFlex reduces pain nerve signalling by the action of peptide 315y which safely and consistently reduces pain signalling by a sodium channel block effect on neurons in the knee nerve fibres. Preclinical test data out to 7 weeks in a dedicated KOA model has shown successful translation of efficacy and safety with statistically significant effects on key pain endpoints.\n\n**Lubrication Effect**: The polymer base of PeptiFlex has unique viscoelastic properties acting as a substitute for healthy joint fluid and providing lubrication, cushioning, shock absorption, and improving the physical function of the joint.\n\n**Protection Effect**: PeptiFlex has proven to be extremely safe and protects joint structure by cartilage protecting actions of peptide 315y. The peptide interacts with cartilage-producing cells (chondrocytes) to cause proliferation and increased cartilage production. Tests have shown KOA joints treated with PeptiFlex were evaluated using the gold standard OARSI cartilage scoring system and showed improvement in terms of aggression and extent of disease compared to control.\n\n**The ask** \\\nIf you know any strategics interested in osteoarthritis or clinical trial groups interested in partnering with early-stage companies, we would really appreciate an introduction",
        "url": "https://www.ycombinator.com/launches/Gkq-releviumbio-life-changing-innovation",
        "votes": 12,
        "created_at": "2022-07-07T14:00:52.112Z"
      }
    ]
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    "id": 28853,
    "name": "Obento Health",
    "slug": "obento-health",
    "former_names": [
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    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/90a0ab27f8e7fd19fa5150b5f3de4e0557c38fb0.png",
    "website": "https://www.getobento.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Obento Health is redefining the CRM experience for medical field sales. Designed specifically for healthcare, we are saving reps time from documentation and empowering reps to create more personalized interactions with their customers. ",
    "one_liner": "CRM Co-Pilot for Medtech Sales",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Medical Devices",
    "launched_at": 1690867347,
    "tags": [
      "B2B",
      "Medical Devices",
      "Healthcare",
      "CRM",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
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      "Medical Devices"
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    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/obento-health",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/obento-health.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/95734316/",
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    "github_url": "https://github.com/obentohealth/",
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    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
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    "founders": [
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        "user_id": 898197,
        "full_name": "Naxin Wang",
        "title": "Founder",
        "founder_bio": "I stumbled into healthcare and haven’t looked back since. Currently building CRM for Medical Sales at Obento Health. Analyst by training at Google and built products at Verily Life Sciences, serving biopharma and medtech customers.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/naxinwang",
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        "id": 84090,
        "title": "Obento Health - CRM Co-Pilot for MedTech Sales",
        "tagline": "We use AI to help medical field sales build stronger relationships with healthcare providers and organizations.",
        "body": "**TLDR**\\\n[Obento Health](https://www.getobento.com/?utm_source=launchyc) is redefining the CRM experience for medical device sales. Designed specifically for healthcare, we are saving field reps time from activity tracking and empowering reps to create more personalized interactions with their customers.\n\n### **The love-hate relationship with a CRM**\n\nMedical device reps are constantly on the go, and our users have told us using CRM is a necessary evil for their job. A clunky CRM leads to inefficiencies in managing customer relationships and missing valuable follow-ups. More importantly, reps are spending hours a week doing admin work in their CRM instead of focusing on their customers, and management is missing key insights to drive strategic directions for their sales teams. \n\n![uploaded image](/media/?type=post&id=84090&key=user_uploads/898197/fe5a0beb-4b25-42e3-8f6c-eb9b8e7f22d1)\n\n### **Obento is taking the pain out of using a CRM**\n\nThe team at Obento has designed the perfect co-pilot for medical device reps. Our mobile-first platform allows reps to log visits using voice-to-CRM, access their rolodex at their fingertips with enriched domain-specific data, and a debrief mode that can help reps uncover more aha moments. By integrating seamlessly with existing CRM systems, Obento enhances rep productivity from day one.\n\n### **The team has dedicated two decades into building well-loved products**\n\nNaxin Wang and Rodrigo Gutierrez have 20 years of combined experience and have built products used by millions of people. Naxin was at Verily (fka Google Life Sciences) building products for biopharma and medtech companies, and Rodrigo joined as an early employee and led product engineering at Strava.\n\n![uploaded image](/media/?type=post&id=84090&key=user_uploads/898197/2e2d4510-a499-4472-96d8-9f7e9079899b)\n\nReach out to us at [naxin@obentohealth.com](mailto:naxin@obentohealth.com) to see how AI can transform your commercial team.",
        "url": "https://www.ycombinator.com/launches/LsI-obento-health-crm-co-pilot-for-medtech-sales",
        "votes": 28,
        "created_at": "2024-09-17T17:29:33.192Z"
      }
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    "id": 28859,
    "name": "MICSI",
    "slug": "micsi",
    "former_names": [
      "MICSI (Microstructure Imaging, Inc)"
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    "website": "https://www.micsi.co/",
    "all_locations": "New York City, NY, USA",
    "long_description": "MICSI is introducing AI software that doubles resolution and halves scan time. This breakthrough enables imaging centers to significantly enhance their capacity and patient throughput, potentially saving countless lives and generating an additional $2 million of revenue per MRI scanner. Our initial offering serves as a stepping stone toward the company’s larger vision of transforming the MRI into a truly quantitative instrument that is capable of providing highly reproducible data for more accurate diagnoses and patient management. ",
    "one_liner": "Higher resolution MRI with faster scan times.",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Diagnostics",
    "launched_at": 1687381964,
    "tags": [
      "Computer Vision",
      "Medical Devices",
      "Healthcare"
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      "America / Canada"
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    "stage": "Early",
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    "url": "https://www.ycombinator.com/companies/micsi",
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    "year_founded": 2018,
    "city": "New York City",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/microstructure-imaging-inc/",
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      {
        "user_id": 1352304,
        "full_name": "Gregory Lemberskiy",
        "title": "Founder",
        "founder_bio": "Gregory Lemberskiy (CEO) co-founded MICSI with goal of bringing cutting edge image processing tools, that he encountered in the research setting into clinical practice. His PhD work (2019) focused on algorithm development for image enhancement and biophysical modeling of the MRI signal. His methods have been used to enable high-end quality on low field MRI systems through noise reduction (MICSI’s first product) and use MRI to characterize the physical properties of prostate glandular lumen.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/gregory-lemberskiy",
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      },
      {
        "user_id": 1352419,
        "full_name": "Benjamin Ades-Aron",
        "title": "Founder",
        "founder_bio": "I got my PhD in electrical engineering in 2022 from NYU, where I specialized in developing machine learning based computer vision algorithms for the visualization of MRI data. I specialize in developing software to process and route diffusion and functional MRI data, with a goal of improving image signal, reducing noise, and producing clinically viable diagnostic imaging biomarkers.",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/benjamin-aron-b0313349",
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      {
        "id": 96226,
        "title": "MICSI-PET: Anatomical Positron Emission Tomography",
        "tagline": "Making PET imaging fast, anatomical, and scalable for Alzheimer’s care.",
        "body": "TLDR; MICSI-PET makes PET imaging fast, anatomical, and scalable for Alzheimer’s care.\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/a5488138-be4b-4093-86c1-1b2663488117)\n\n**Problem:** **PET is the bottleneck capping the entire Alzheimer’s market.**\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/40ba7516-1b46-454a-9a26-98fb91fe3169)\n\nDisease modifying Alzheimer’s drugs like Leqembi and Kisunla are here, and they are projected to generate $5-8B/year by 2030. However, to get these drugs, patients need a positive amyloid PET scan.\n\nThis is an ambitious figure that is limited by the fact that there are only 2500 PET/CT scanners in the US, where the average age is 14 years old. PET scanners have a predictable 4-5% drop in sensitivity (or detected count rate) per year \\[Watanuki et al. Ann Nucl Med. 2010\\], suggesting a loss of half of the sensitivity since its initial install. Operationally, this sensitivity loss forces centers to lengthen acquisitions or increase dose just to preserve image quality, reducing throughput or margins right as amyloid PET demand is exploding. It’s also unrealistic to assume that the existing PET fleet is built for imaging Alzheimer’s at scale. PET systems are also heavily utilized for oncology, cardiology, infection, and presurgical planning, where 74% of all PET scans use FDG, a general purpose tracer for cellular metabolism. \n\n**Solution: Transform aging PET fleets into Anatomical PET with MICSI-PET.**\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/be3b873c-3dd7-4326-8447-316161d179db)\n\nMICSI-PET is a turnkey upgrade that dramatically enhances PET image quality by using the MRI as an anatomical guide. This process does not require any additional imaging as all patients should have received an MRI prior to amyloid PET imaging. Operationally, this upgrade removes the primary barrier for scaling Alzheimer’s therapies by (1) enabling high-end PET imaging on low-end or aging PET scanners; (2) enabling shorter PET examinations leading to greater throughput; (3) minimizing ambiguity of positive/negative amyloid PET imaging by showing clearer boundaries between gray and white matter:\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/90dd7722-405d-4a4f-967b-4ec6df183ff6)\n\n**Figure:** Coregistered conventional PET and MICSI-PET amyloid images across a range of amyloid burdens, highlighting differences in apparent cortical sparing: **left, amyloid-negative** with strong gray/white contrast; **right, amyloid-positive** with reduced gray/white contrast.\n\n**Addressing the Radiologist Workforce Crisis:** Scaling Alzheimer's care isn't just a hardware problem; it's a workforce problem. AD imaging is about to become a high-volume modality layered onto a nuclear medicine workforce where 54% of radiologists already report burnout.\n\nBeyond anatomical PET, MICSI-PET is designed to streamline diagnosis through automatic SUVR/Centiloid reporting with built-in QC.\n\n![uploaded image](/media/?type=post&id=96226&key=user_uploads/1352304/b48c9a16-d7b6-4fe9-bf74-509653e159dd)\n\nFast and anatomical PET is just the start. The same MR-guided upgrade would generalize across tracers, and eventually across doses, elevating the global standard of PET toward a new default: molecular imaging that’s both specific and anatomically precise. \n\nOur first product, MICSI-RMT, is already FDA-cleared and in the market. MICSI-PET is currently in clinical validation and we are preparing our FDA submission.\n\n**Ask:** We are expanding pre-FDA clearance pilot collaborations to validate MICSI-PET across sites and workflows, and we are closing a seed extension to support multi-center validation and early installs. If you lead a PET imaging program or invest in medical imaging and Alzheimer’s care, we would love to connect.  \n\n**Email Us:** \n\n[**Gregory.Lemberskiy@micsi.com**](mailto:Gregory.Lemberskiy@micsi.com)\n\n[**Benjamin.Adesaron@micsi.com**](mailto:Benjamin.Adesaron@micsi.com)",
        "url": "https://www.ycombinator.com/launches/P22-micsi-pet-anatomical-positron-emission-tomography",
        "votes": 16,
        "created_at": "2025-12-16T00:02:25.484Z"
      },
      {
        "id": 73719,
        "title": "MICSI (Microstructure Imaging)",
        "tagline": "Higher resolution MRI acquired faster",
        "body": "TLDR; MICSI is introducing an innovative image processing algorithm to decrease MRI scan time, increase image resolution, and unlock new diagnostic capabilities using Microstructure Imaging.\n\n![](https://lh4.googleusercontent.com/166C-4hbfRCmiC20D9EbOVhdubPqEE3tuTb-ZvNh8bnOXts8Rf9ZfhssNQ8ptJsGYAFqtkSt6w9Cu-aRvnBDBoKesDzc1ou7ddUVUZqTZ0knq8MmlZsbLWYY4rpGoFqUmrbmjEeSjfMx7KMKRdEngWA)\n\n**Problem: MRI Centers are overbooked.**\n\nIf you've ever had an MRI, you've probably waited weeks for an available slot and then spent a long time in the scanner. These long scan times inconvenience patients, create hospital backlogs, and delay appointments. Delays like these can critically impact conditions that require prompt diagnosis and intervention, inflate healthcare costs, increase patient anxiety, and potentially compromise treatment strategies. Why the wait? An MRI of the whole brain can be acquired in [**seconds**](https://mriquestions.com/echo-planar-imaging.html)!\n\n**Compromise: Why is your MRI an hour long?**\n\nMost of the scan time is spent on preserving signal-to-noise ratio (SNR) to produce images of the highest quality. These standard SNR preserving methods include:\n\n* Line-by-line acquisitions: These are fax-machine-like acquisitions that read the image one line at a time, where the time spent on each line is equivalent to the time that could have been spent acquiring the whole image.\n* Averaging: To boost SNR, images may be reacquired and averaged together. However, SNR improves slowly as a square root of scan time (ie 4 images are required to double the SNR).\n\nAn additional compromise is related to the spatial resolution, since MRI is acquired in 3D with “voxels”, doubling the resolution in each dimension from (2x2x2 mm3 to 1x1x1 mm3) would require the SNR to increase by **8x**, which even after 50 years of innovation, seems near impossible.\n\n![](https://lh4.googleusercontent.com/y1p1DzihqAvnmKvtoSJAbVSBrInECVUP2GvzVc5TFmLNqwTQ1hevnLgcPX7iplxNhKchrjAAQq8L8WlPbLNVWX31jAN-VIg6dSJ7Nzv-lKMUTvy8xsUIlzfFOZLlgSoGL0ZAC1lk8xqtYL2V4Q1caJk)\n\n**The MRI exam is full of compromise.**\n\n* Long scan times means fewer patients can be scanned by a given radiology center.\n* Lower resolution means a compromise in anatomical accuracy, where pathologies that could have otherwise been detected at an earlier stage would need to progress further to be MR visible.\n\nWe believe that the ultimate compromise is that MRI is not being used to its fullest potential for microstructure imaging, where MRI could be used to [**image cellular properties non-invasively**](https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/abs/10.1002/nbm.3998).\n\n**Solution: Boosting SNR over the MRI exam using MICSI-RMT.**\n\nOur patented approach (pending FDA510k clearance in Q4-2023) uses a self-supervised AI method to learn the noise properties of the MRI exam and remove noise uniformly across all images of the dataset. Our algorithm, MICSI-RMT, can be described as a smart averaging approach, whereby many images of the MRI exam are combined while preserving their unique image properties and discarding the noise. This boost in SNR would be approximately, sqrt(M/P), where M is the number of images included in the dataset, whereas P describes how different the images are (physical properties: proton density, T1, T2, diffusion, etc + artifacts: motion, errors, etc).\n\nMICSI-RMT is the commercial implementation of the MP-PCA algorithm that was developed by our research group led by Drs. Dmitry S. Novikov and Els Fieremans of NYU Radiology’s Center for Biomedical Imaging.\n\nMP-PCA is the most popular denoising approach in the MRI community:\n\n* The [**original paper**](https://pubmed.ncbi.nlm.nih.gov/27523449/) introducing the approach has achieved over 1300 citations since November 2016.\n* Denoising of [**task-based FMRI**](https://pubs.rsna.org/doi/full/10.1148/radiol.2020200822) for presurgical planning of Neurosurgery\n* Enabling low field [**0\\.55T prostate diffusion**](https://pubmed.ncbi.nlm.nih.gov/37222526/) MRI\n\nWith MICSI-RMT, MRI centers will not only be able to provide higher quality imaging but also drastically reduce the scan time (up to [50%](https://pubs.rsna.org/doi/full/10.1148/radiol.2020200822)). This improved efficiency allows centers to scan more patients per day, enhancing their operational capacity and throughput. Financially, this increase in capacity translates into a significant boost in revenue for every MRI center. By doubling the number of patients scanned daily, we estimate an additional $2 million in annual revenue per MRI scanner. Furthermore, the improved image quality and resolution could lead to more accurate diagnoses, early disease detection, and reducing overall healthcare costs in the long run.\n\n**Who we are - Greg and Ben**\n\n![](https://lh6.googleusercontent.com/F5FGyVn85R_Oxvkgw_uEOhvkKUEg_2VemnSso8p1nBfc7vgYVd1q1Vnt2BgIJrm2CRenojq9RkwoxbuP0lebYfKIcs6anX6wQEPQj0T-yaTJGLBOvqqzsw4JL4ftzrHLozX-QX592SesWUotkt92ZCw)\n\nWe are scientists and engineers who have spent the last decade developing machine learning software to both improve the quality diagnostic utility of MRI. [**Gregory Lemberskiy, PhD**](https://www.linkedin.com/in/gregory-lemberskiy/) is an [**experimental physicist**](https://scholar.google.com/citations?user=_TvugCIAAAAJ&hl=en). He discovered how to use MRI to measure the diameter of the [**prostate glandular lumen**](https://www.frontiersin.org/articles/10.3389/fphy.2018.00091/full), which may obviate the need for tissue biopsy to detect prostate cancer progression. [**Benjamin Ades-Aron, PhD**](https://www.linkedin.com/in/benjamin-aron-b0313349/) is an [**electrical engineer**](https://scholar.google.com/citations?user=xNhHFuAAAAAJ&hl=en) who developed and deployed the [**DESIGNER**](https://pubmed.ncbi.nlm.nih.gov/30077743/) open-source image processing pipeline, which is the global gold standard of diffusion MRI image processing. He has also developed a number of novel neural network architectures to aid in the denoising of compressed sensing MRI data, to facilitate brain mapping for functional neurosurgery of Epilepsy and brain tumor.\n\nTogether, the MICSI team owns over a dozen approved patents and has a clear vision for the future of MRI. The goal of MICSI is to use our patented denoising and parameter estimation technologies to make MRI quantitative and reproducible for the first time, creating a new category in diagnostic healthcare and improving patient satisfaction and outcomes.\n\n**Our Ask**\n\n* Do you know anyone in private practice, hospitals, or in large academic centers who may be interested in our approach? We want to talk to them.\n* Questions, comments, feedback? We want to hear from you!\n\n**Email us:**\n\n[**Gregory.Lemberskiy@micsi.com**](mailto:Gregory.Lemberskiy@micsi.co)\n\n[**Benjamin.adesaron@micsi.com**](mailto:Benjamin.adesaron@micsi.co)",
        "url": "https://www.ycombinator.com/launches/JB1-micsi-microstructure-imaging",
        "votes": 23,
        "created_at": "2023-08-02T17:20:50.834Z"
      }
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  },
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    "id": 29008,
    "name": "Andromeda Surgical",
    "slug": "andromeda-surgical",
    "former_names": [],
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    "website": "http://www.andromedasurgical.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "We're building autonomous robots to make surgery safe, easier and more efficient. Robots currently perform about 1/4 of surgeries but only help with the physical aspects. We use AI to make surgery cognitively easier. This has far greater potential to improve outcomes and reduce costs. Founded by 3x founders from medtech and autonomous vehicles, we're on track to be the fastest surgical robot to market of all time. First indication is prostate enucleation.",
    "one_liner": "Autonomous surgical robots",
    "team_size": 12,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Medical Devices",
    "launched_at": 1684515035,
    "tags": [
      "Hard Tech",
      "Machine Learning",
      "Medical Robotics",
      "Medical Devices",
      "AI"
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    "tags_highlighted": [],
    "top_company": false,
    "isHiring": true,
    "nonprofit": false,
    "batch": "Summer 2023",
    "status": "Active",
    "industries": [
      "Healthcare",
      "Medical Devices"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/andromeda-surgical",
    "api": "https://devasheeshg.github.io/yc-api/batches/summer-2023/andromeda-surgical.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "http://linkedin.com/company/andromeda-surgical",
    "x_url": "https://twitter.com/andromedasurg",
    "fb_url": "http://facebook.com/andromedasurgical",
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/ad29152e507992c17de56b3d0a62d1fd6769fd3b.png",
    "app_video_url": null,
    "dday_video_url": null,
    "company_photos": [],
    "primary_partner": {
      "name": "Garry Tan",
      "url": "https://www.ycombinator.com/people/garry-tan"
    },
    "founders": [
      {
        "user_id": 4171,
        "full_name": "Nick Damiano",
        "title": "Founder",
        "founder_bio": "First YC medtech founder and only 2x YC medtech founder; \nCo-founder & CEO @ Andromeda Surgical S23;\nFounder & CEO @ Zenflow W15 - treated > 300 patients so far, Class 3 FDA approval, raised > $100M;\nCo-founder & CTO @ Avail MedSystems (f.k.a. Nurep, acq. by Mendaera) - launched in 1000 hospitals, raised $120M;\nVenture Partner @ Pioneer Fund;\nStanford Biodesign Innovation Fellow & Stanford MS/BS;\nGeneralist/SW engineer;\nDad to two daughters;\nSemicolon enthusiast;",
        "is_active": true,
        "linkedin_url": "https://linkedin.com/in/nickdamiano",
        "x_url": "https://x.com/nickdamian0",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/d66722f33e37245caa7dd8f7da2e5ab43158e9a5.jpg"
      },
      {
        "user_id": 37368,
        "full_name": "Kartik Tiwari",
        "title": "Founder",
        "founder_bio": "Background in robotics\n3x technical founder, 2x YC founder\nLed the team at Starsky Robotics to become the first in the world to have a driverless truck on a public road",
        "is_active": true,
        "linkedin_url": "https://www.linkedin.com/profile/public-profile-settings?trk=prof-edit-edit-public_profile",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/a6e5d0daa20f47f66ea411a42df32eb0df8fac6a.jpg"
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    ],
    "jobs": [
      {
        "id": 62175,
        "title": "Robotics Controls Engineer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/EiC4MLO-robotics-controls-engineer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "Any (new grads ok)",
        "visa": "Will sponsor",
        "skills": [
          "C++",
          "Python"
        ]
      },
      {
        "id": 66541,
        "title": "Senior Software engineer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/0NF6Ie3-senior-software-engineer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Backend",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 80395,
        "title": "UX Designer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/dTs6gll-ux-designer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": []
      },
      {
        "id": 83839,
        "title": "Lead Hardware Engineer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/93sD4oD-lead-hardware-engineer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Robotics",
        "salary_range": "$140K - $200K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Arduino",
          "Python",
          "Linux",
          "CAD Design"
        ]
      },
      {
        "id": 108088,
        "title": "Machine Learning Engineer",
        "url": "https://www.ycombinator.com/companies/andromeda-surgical/jobs/l9lWEvX-machine-learning-engineer",
        "location": "South San Francisco, CA, US",
        "type": "Full-time",
        "role": "Engineering",
        "role_type": "Machine learning",
        "salary_range": "$150K - $250K",
        "equity_range": "0.10% - 0.50%",
        "experience": "3+ years",
        "visa": "Will sponsor",
        "skills": [
          "Python",
          "Torch/PyTorch",
          "Machine Learning",
          "Data Modeling"
        ]
      }
    ],
    "news": [],
    "launches": [
      {
        "id": 74646,
        "title": "Andromeda Surgical: Autonomous surgical robots 🦾🏥",
        "tagline": "Autonomous robots that use AI to elevate every surgeon to world expert level and deliver consistently great patient outcomes",
        "body": "tl;dr: We’re [Andromeda Surgical](https://andromedasurgical.com/) and we’re building autonomous surgical robots. We’re a team of two 3x founders and 2x YC founders from medtech and autonomous vehicles. Our AI-assisted robots will empower every surgeon to operate at world expert level for every procedure, every time, with minimal training. We’re starting with a proven urologic procedure that can treat over half a million patients per year in the US alone.\n\n \n\n**About Us**\n\nHi everyone, we’re Nick and Kartik, the co-founders of Andromeda Surgical. Nick has founded medtech companies collectively worth over $1 billion whose products are used in over 1,000 medical facilities. Kartik led the team that built and launched the world’s first autonomous truck to operate driverless on US highways. We were both YC alums before this batch, Nick with Zenflow (W15) and Kartik with Starsky Robotics (S16). We met through [YC Co-Founder Matching](https://www.ycombinator.com/cofounder-matching) and realized we could apply the same principles underlying self-driving vehicles to fundamentally change how surgery is performed.\n\n![uploaded image](/media/?type=post&id=74646&key=user_uploads/4171/baf84b2c-4724-43aa-b88d-fc1980e4a389)\n\n\n**Problem**\n\nHuman mental and physical capabilities limit surgical outcomes. Existing surgical robotics companies focus almost exclusively on solving the physical challenges, making surgical movements more ergonomic and precise. These improvements alone have revolutionized surgery and spawned a large and fast-growing industry, led by [Intuitive Surgical](https://www.intuitive.com/en-us) ($108 billion market cap). Surgeons love to use these products and patients eagerly sign up for robotic procedures.\n\nDespite the proliferation of robotics in surgery, the clinical need to reduce complication rates remains largely unmet. Almost one third of patients undergoing surgery experience complications, and 8% experience major complications \\[1\\]. Many surgeons have told us they blame themselves for sub-optimal outcomes, and this adds significant stress to their lives. As AI becomes more powerful, it offers tremendous potential to improve surgical decision making and reduce complication rates.\n\n**Our Solution**\n\nAndromeda uses AI to augment surgeons’ mental and cognitive faculties. We’re starting with a common prostate procedure that can treat over half a million patients per year and has better outcomes than all alternatives. Its steep learning curve limits the number of urologists who can perform it. The procedure is algorithmically simple, but it’s hard for urologists to know exactly where they are and what they’re seeing, resulting in mistakes and delays. We’ve designed a GPS-like location system to help surgeons accurately orient themselves and perform the best possible action in every moment.\n\n![uploaded image](/media/?type=post&id=74646&key=user_uploads/4171/e37dbeac-932f-42bc-b896-954c0c4c0fcb)\n\nAfter launching, we’ll expand into other urologic procedures and then beyond. Whereas most surgical robots focus on multi-port laparoscopic procedures, we’re starting with natural orifice procedures that tend to be less mechanically complex. We’re a hardware-lite company and built our simple yet versatile robot in just three months. The main value we’ll provide is in our software. Our long-term vision is to enhance all surgeons’ abilities with AI, empowering them to perform a broad range of procedures at expert level and deliver consistently optimal outcomes to patients.\n\n**Asks**\n\n·      We’re hiring robotics and HRI/industrial design engineers\n\n·      We’re looking to meet urologists who can partner with us on data collection and future clinical trials\n\nPlease reach out at [info@andromedasurgical.com](mailto:info@andromedasurgical.com) if you’re interested to help us build the future of surgery.\n\n\\[1\\] <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9714582/>",
        "url": "https://www.ycombinator.com/launches/JPy-andromeda-surgical-autonomous-surgical-robots",
        "votes": 46,
        "created_at": "2023-09-06T13:49:39.308Z"
      }
    ]
  },
  {
    "id": 29313,
    "name": "Selera Medical",
    "slug": "selera-medical",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/3093de2ebffff30f196a9a5caee36a78c8971282.png",
    "website": "http://www.seleramedical.com",
    "all_locations": "San Francisco, CA, USA",
    "long_description": "Heart failure impacts millions worldwide and is associated with poor quality of life and high mortality rates. Because the heart cannot pump efficiently, fluids buildup around the body. Fluid overload is the main driver behind patient symptoms (shortness of breath, fatigue, chest pain, etc.) and hospitalizations. Our minimally invasive device leverages the body's innate fluid management system to offload trapped fluid and prevent subsequent rounds of buildup. The one-time procedure has sustained effect -- keeping patients healthier, happier, and out of the hospital.",
    "one_liner": "One-time, device-based treatment for heart failure",
    "team_size": 2,
    "industry": "Healthcare",
    "subindustry": "Healthcare -> Medical Devices",
    "launched_at": 1709140378,
    "tags": [
      "Medical Devices",
      "Healthcare"
    ],
    "tags_highlighted": [],
    "top_company": false,
    "isHiring": false,
    "nonprofit": false,
    "batch": "Winter 2024",
    "status": "Inactive",
    "industries": [
      "Healthcare",
      "Medical Devices"
    ],
    "regions": [
      "United States of America",
      "America / Canada"
    ],
    "stage": "Early",
    "app_video_public": false,
    "demo_day_video_public": false,
    "app_answers": null,
    "question_answers": null,
    "url": "https://www.ycombinator.com/companies/selera-medical",
    "api": "https://devasheeshg.github.io/yc-api/batches/winter-2024/selera-medical.json",
    "year_founded": 2023,
    "city": "San Francisco",
    "country": "US",
    "linkedin_url": "https://www.linkedin.com/company/selera-medical/",
    "x_url": "",
    "fb_url": null,
    "cb_url": null,
    "github_url": null,
    "logo_url": "https://bookface-images.s3.amazonaws.com/small_logos/3093de2ebffff30f196a9a5caee36a78c8971282.png",
    "app_video_url": null,
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    "company_photos": [],
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    "founders": [
      {
        "user_id": 1135677,
        "full_name": "Stacie Arechavala",
        "title": "Founder",
        "founder_bio": "Founder & CEO of Selera Medical, developing paradigm-shifting technology for heart failure patient management. Previous experience includes Innovation Fellow at Stanford Biodesign, CoS running internal operations at a healthtech startup, R&D engineer developing cardiovascular devices at Medtronic. Masters in biomedical engineering and engineering management from Duke.",
        "is_active": false,
        "linkedin_url": "https://www.linkedin.com/in/staciearechavala/",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/0eaf4b86c5d393849997a0e114c5f9a67284140d.jpg"
      },
      {
        "user_id": 1165114,
        "full_name": "Kevin Bui",
        "title": "Founder",
        "founder_bio": "Kevin is co-founder and CTO of Selera Medical, a medical device startup developing a minimally invasive therapy for congestive heart failure. Prior to this, he was an Innovation Fellow in the Stanford Byers Center for Biodesign. Kevin received his undergraduate bioengineering degree from Stanford and his PhD in bioengineering from the University of Pennsylvania, where he conducted research at the intersection of robotics, stroke rehabilitation, and cognitive neuroscience.  ",
        "is_active": false,
        "linkedin_url": "https://linkedin.com/in/kevindbui",
        "x_url": "",
        "avatar_thumb_url": "https://bookface-images.s3.us-west-2.amazonaws.com/avatars/3d02037686733d187da63fe2f2fccc776a238182.jpg"
      }
    ],
    "jobs": [],
    "news": [],
    "launches": [
      {
        "id": 78866,
        "title": "Selera Medical: Disrupting the heart failure treatment paradigm ❤️‍🔥",
        "tagline": "Device-based approach to better heart failure patient care",
        "body": "Selera is developing a device to treat fluid overload in heart failure patients with a one-time, minimally invasive procedure.\n\n### **Backstory 📖**\n\nHello! 👋 We ([Stacie](https://www.linkedin.com/in/staciearechavala/) & [Kevin](https://linkedin.com/in/kevindbui)) are engineers who met at Stanford Biodesign, where we shadowed clinical cases and identified unmet needs in hospitals across the Bay Area. We observed first-hand the limited and ineffective treatment options available to heart failure patients, which led to poor quality of life and frequent hospitalizations. With Kevin’s Ph.D. in bioengineering, Stacie’s medical device + ops/strategy industry experience, and a shared vision to improve healthcare outcomes, Selera was born.\n\n![uploaded image](/media/?type=post&id=78866&key=user_uploads/1135677/0a02856b-5a46-48f1-ac7a-0e7e890bf775)\n\n### **Problem 💔**\n\nOver 6.5 million people in the US suffer from heart failure, which is when the heart can no longer pump blood efficiently to the rest of the body. As the disease progresses, symptoms get worse, quality of life tanks, and hospital time skyrockets. It’s terrible for patients and their loved ones, as well as a huge burden to the healthcare system.\n\nOver 90% of symptoms and hospitalizations are driven by fluid buildup around the body (think: fluid in the lungs → patient can’t breathe → hospital). Standard of care medications to manage fluid hasn’t changed in over 60 years, have adverse side effects, require significant provider time, and become ineffective over time. As a result, patients are trapped in a cycle: fluid builds up, symptoms worsen, hospitalization, discharge, repeat. Post-hospitalization, the survival rate is similar to some stage 4 cancers – only 50% at 2 years – and reduces with each admission.\n\n### **Approach 🎯**\n\nWe are taking a brand new approach by harnessing the body’s own fluid management mechanisms to remove excess fluid, alleviate symptoms, and reduce hospitalizations.\n\nWith the heart not pumping blood as well as it should be, it causes backups in the blood vessels (like a highway when there’s construction). This forces fluid with important nutrients to leak out (detour) into the interstitial space, which is the space between organs and tissues. Normally, this fluid is collected and brought back to the bloodstream by the lymphatic system (a parallel highway with roads all over the body). However, the lymphatic system is overwhelmed by the extra fluid produced in heart failure due to the backups (when Maps reroutes everyone and the seemingly better alternative also has traffic). Without any other way out, fluid is trapped in the interstitial space, leading to the symptoms behind hospitalizations, such as swelling and chest pain depending on where the fluid is stuck. Our technology ‘untaps’ the fluid stuck in the interstitial space by offloading the lymphatic system so that it can work more efficiently (like opening up more lanes to reduce traffic).\n\nWith our one-time procedure, minimally invasive lymphatic offloading (MILO) provides long-term treatment and breaks the fluid overload hospitalization cycle for patients.\n\n![uploaded image](/media/?type=post&id=78866&key=user_uploads/1135677/54435770-1a47-441b-93c5-206d14826845)\n\n### **Connect 🤝**\n\nWe’re looking to connect with cardiologists and interventional radiologists interested in partnering with us on product testing and future clinical trials.\n\nIf you’d like to learn more about what we’re working on or get involved, reach out to us at [founders@seleramedical.com](mailto:founders@seleramedical.com).",
        "url": "https://www.ycombinator.com/launches/KW2-selera-medical-disrupting-the-heart-failure-treatment-paradigm",
        "votes": 35,
        "created_at": "2024-02-28T20:56:05.210Z"
      }
    ]
  },
  {
    "id": 30673,
    "name": "Nexa Labs",
    "slug": "nexa-labs",
    "former_names": [],
    "small_logo_thumb_url": "https://bookface-images.s3.amazonaws.com/small_logos/489fd97ad45ee1d6d874c7a99792bf1552ebddc2.png",
    "website": "https://nexa.farm/",
    "all_locations": "San Francisco, CA, USA",
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        "title": "Nexa Labs: Implantable Microchips for Cattle Monitoring",
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        "body": "**TLDR:** Nexa builds implantable “FitBits” + AI for cattle monitoring. We empower farmers with early disease detection and reproductive insights that save them time and money.\n\nhttps://youtu.be/goioQTngpSU\n\n**Problem**\n\nEfficiently monitoring cattle health and reproduction is critical to maintain farm profitability. But the traditional practice of manually inspecting animals doesn’t scale - labor costs add up, while farms miss disease outbreaks and breeding cycles. Disease alone causes \\~$100 billion in losses yearly for cattle farms globally.\n\nExisting tech for monitoring cattle includes external wearables like collars and ear-tags. Being outside thick cattle skin, these can’t accurately track useful biometrics beyond “activity” (a glorified step-count). There’s also boluses, pill-shaped devices that sit in the cow stomach. But these are super expensive, have short battery life, and can’t be used for beef cattle.\n\n**Solution**\n\nNexa is building implantable microchips that go underneath the skin in the ear of cattle. We analyze vital biometrics - like temperature, heart rate, blood oxygen, activity, GPS location, and more - that other systems miss, to empower farmers with early disease detection and reproductive insights. And because our electronics operate at millimeter scale, we benefit from low production costs and pricing up to 70% cheaper than current solutions.\n\nOur hardware also enables collection of the world’s largest cattle health dataset - so, we can develop foundation models that can unlock new possibilities in farm management and livestock pharma. \n\nWe’re currently launching our dairy pilot program - if you know any dairy farmers based in the USA, please send them our way at [admin@nexa.farm](mailto:admin@nexa.farm) :)\n\n**About Us**\n\nWe’re a team of Caltech dropouts with backgrounds in bioengineering, electrical engineering, CS, math, and physics. We want to build technology that makes a tangible impact on the lives of real people in America and beyond.  \n\n![uploaded image](/media/?type=post&id=92930&key=user_uploads/89898/0ae16cce-d4d4-40c1-b80d-7079d433d8e6)\n\n",
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