
Exploring how big pharma partners with AI startups to build internal capabilities, data and models
| Platform | Pricing | Only free issues | Publishes | Weekly | |
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| Issues | 270 | Founded | 6 years ago | Last Issue | 7 days ago |
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I’ve been bouncing between a few different topics recently, and I thought it might be worth explaining how they fit together. So this week, I want to explain why the MCP servers and Data Operations Plans that I’ve been writing about are so...
Ok, I promise I'll get back to writing about foundation models soon, but I fell down this MCP rabbit hole and I have a few more weeks of ideas I need to explore before I can move on.
For decades, the dream in data engineering/informatics c...
Last week, I predicted that the introduction of MCP servers would increasingly turn AI platforms like Claude Code and Claude Cowork into integration busses allowing users to sync data between different external apps in ways that REST APIs a...
One question that keeps coming up in my conversations about building Data Operations Plans is how AI tools like Claude Cowork might fit in. Many teams outside biopharma are using a protocol called MCP that lets them connect external tools l...
Last week, I wrote a relatively optimistic post about how AI could potentially address what I see as one of the most fundamental issues in drug discovery, the clinical information bottleneck. This week’s post is going to be a bit more pessi...
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The writers behind this newsletter.
Founder of Merelogic
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