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NewLimit CEO Jacob Kimmel explains the clinical trial bottleneck AI can't fix: biology has irreducible latency "It's unlikely we're gonna see rapid expedition of clinical trials because a lot of the periods of time can't be expedited based on the biological primitives. In computer science you often have a...

50,797 次观看 • 13 天前 •via X (Twitter)

11 条评论

Braydon Dymm, MD 的头像
Braydon Dymm, MD12 天前

@jacobkimmel What we really need is clinical trial abundance

Tim Peterson 的头像
Tim Peterson12 天前

@jacobkimmel Just say slow

suqitah 的头像
suqitah13 天前

@jacobkimmel does newlimit's model actually move the 10 percent number or just pick better candidates going into the same slow pipe

Mgoes (bio/acc 🤖💉) 的头像
Mgoes (bio/acc 🤖💉)13 天前

@jacobkimmel Very much matches what I dicsussed with Rico from Retro Bio last month

Alex Mercer 的头像
Alex Mercer13 天前

@jacobkimmel AI may not eliminate biology’s inherent latency, but improving clinical success rates could transform drug development. Doubling success from 10% to 20% would be a massive leap in both impact and economics.

Sebastian A. Brunemeier 🏴 🌎 💊 🧬 的头像
Sebastian A. Brunemeier 🏴 🌎 💊 🧬12 天前

@jacobkimmel True

Antonio Regalado 的头像
Antonio Regalado12 天前

@jacobkimmel I like the way this is explained. Moderna just reported out its data for the mRNA vaccine in skin cancer based on 5 year survival. So right there you have 5 year latency for a cancer cure claim.

Ricci Research 的头像
Ricci Research12 天前

The bandwidth/latency framing is exactly right, and it has a financial twin: cost of capital compounds over a fixed 10-year clock you can't shorten, so the only lever left is raising the hit rate. Doubling success from 10% to 20% doesn't just halve cost per approval — it changes what a portfolio is worth at every discount rate.

Neo 的头像
Neo12 天前

@jacobkimmel Trials is the only thing that matters in biotech. They make it brake companies. It’s the end all be all. They take forever and they cost a ton. You cannot work around them. The trials is the drugs.

Sheral Tech 的头像
Sheral Tech12 天前

@jacobkimmel Brilliant insight AI improving trial success rates could revolutionize medicine forever🧬🔥

Lisa 的头像
Lisa11 天前

Our map of human biology is built on sparse, biased data, shallow clinical data and a literature full of contradiction, and which conflates correlation with causation. The bottleneck might not be AI, but actually understanding how human biology moves when we perturb it in non-consensus ways.

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