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    "long_description": "Intracellular delivery is the most problematic step in T cell immunotherapy discovery, development and manufacturing. Indee Labs is developing a non-viral intracellular delivery system based on microfluidic vortex shedding (µVS) to rapidly deliver nucleic acids, proteins and gene editing complexes to patient and donor T cells with minimal perturbation.",
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        "full_name": "Ryan Pawell",
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        "date": "Apr 12, 2023"
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        "title": "Indee Labs Awarded $2M Contract to Scale up and out Hydropore for Cell Therapy — Indee Labs",
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    "long_description": "Correlia Biosystems is a UC Berkeley spinoff company based in Berkeley, CA. Correlia develops innovative microscale tools that accelerate rapid quantification of biomolecules.\r\n\r\nOur versatile \"SimpleScan\" technology opens up new biological questions from one microliter of sample, with rapid results that allow for dynamic monitoring of protein expression profiles (rather than simple end-point measurement). Applications range from enabling next-gen proteomic data sets to point-of-care diagnostics.",
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        "title": "Persist - We build long-lasting drugs 50% faster 💊",
        "tagline": "Drug formulations made by robotics and designed by AI",
        "body": "### **TLDR**\n\nPersist helps pharma make drug injections that last up to 1 year. \n\nUsing robotics & AI, we reduce a 5-year drug formulation process to \\~2 years.\n\n**Contact Us (**[**founders@persist-ai.com**](mailto:founders@persist-ai.com)**) for a case-study formulation**\n\nTo make injections we encapsulate drugs inside injectable microspheres made with FDA-approved materials.\n\n![uploaded image](/media/?type=post&id=69239&key=user_uploads/1094851/19542a20-d5f0-4ccd-9450-d6b8427a6b94)\n\n**_Left:_** _Image of a \\~37 um microsphere made by our robotics_\n\n**_Right:_** _A Schematic showing how encapsulated drugs are released over 1 year so patients don’t take as many injections._\n\n### 🤔**THE PROBLEM**\n\nFor chronic diseases, most patients prefer 1 injection/yr rather than multiple injections per week.\n\nHowever, making a long-lasting injection takes a lot of trial and error and the time between iterations is long.\n\nKey challenges include:\n\n* **Using manual work & intuition is slow**: Typical teams manually mix and match chemicals to optimize the amount of drug that’s loaded into the spheres and the rate of release of drug\n* **Trial and error is cumbersome:** Because changing one variable may have multiple effects \n* **Scale-up is unpredictable:** Even if something works at a small scale, batch-to-batch consistency during scale-up is uncertain because production is done in large reactors\n\n### 💡**OUR SOLUTION**\n\nWe utilize custom robotics and AI to solve the problems with building microspheres. \n\n* **We automatically mix & optimize formulations:** We use a closed-loop robotics + AI approach so there’s minimal manual work\n* **We reduce trial & error with AI predictions:** We generate 50x more data than most formulation teams and use that data to train AI. This unique data enables us to make better predictions than others.\n* **We build small batches, faster:** So we can QC batches more frequently and scale up predictably\n\n### ❤️**OUR ASKS**\n\nIntroduce us to friends who work in Pharma. Email [founders@persist-ai.com](mailto:founders@persist-ai.com) \n\n“Follow” us [on LinkedIn](https://www.linkedin.com/company/persist-ai/)",
        "url": "https://www.ycombinator.com/launches/I0l-persist-we-build-long-lasting-drugs-50-faster",
        "votes": 36,
        "created_at": "2023-02-13T16:43:58.890Z"
      }
    ]
  }
]
