Accelerating the development of tools to accelerate biological research has been a key focus of our teams @Google. In the almost ten years I have been at @GoogleDeepMind, our team’s research has resulted in a number of models and agents, from AlphaFold to AlphaGenome to Co-Scientist.
And there's exciting progress in clinical AI evidence-building too: @Google’s first-ever paper in the Lancet was published last week, in collaboration with Beth Israel Deaconess Medical Center. In a prospective clinical feasibility study, our conversational medical AI system, AMIE, safely gathered patient history prior to primary care visits. There were zero safety stops required by overseeing physicians, and AMIE's differential diagnosis matched the final clinical diagnosis in 90% of cases within its top 7 possibilities .
@ymatias and I have written how the tools developed by teams across Google are helping researchers better understand complex biology and real-world disease understanding.
Understanding Diseases blog:
blog.google/innovation-and…
AMIE blog: blog.google/innovation-and…
And there's exciting progress in clinical AI evidence-building too: @Google’s first-ever paper in the Lancet was published last week, in collaboration with Beth Israel Deaconess Medical Center. In a prospective clinical feasibility study, our conversational medical AI system, AMIE, safely gathered patient history prior to primary care visits. There were zero safety stops required by overseeing physicians, and AMIE's differential diagnosis matched the final clinical diagnosis in 90% of cases within its top 7 possibilities .
@ymatias and I have written how the tools developed by teams across Google are helping researchers better understand complex biology and real-world disease understanding.
Understanding Diseases blog:
blog.google/innovation-and…
AMIE blog: blog.google/innovation-and…
Oct 12, 2026 · 10:15 PM UTC
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@pushmeet @Googles@GoogleDeepMindarchers understand complex biology lands for families like ours. Fibrolamellar liver cancer already has a known shared cause, DNAJB1-PRKACA in nearly every patient, including my wife who is 32. What is missing is selective design against the fusion while sparing normal PKA. Would Google DeepMind put DNAJB1-PRKACA on the disease map your teams are building? @GoogleDeepMind
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@pushmeet @Google @GoogleDeepMind But eventually it will understand biology (and every other scientific field) better than us and … what then for a system whose superior modus operandi is optimization and for us who continue being alive through adaptation?
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