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SUMMARY:Francis Crick Lecture - From Cell Atlases to Medicines\, with AI -
  Aviv Regev\, Head of Genentech R&amp\;ED
DTSTART:20260309T110000Z
DTEND:20260309T120000Z
UID:TALK240472@talks.cam.ac.uk
CONTACT:Scientific Meetings Co-ordinator
DESCRIPTION:Single-cell and spatial genomics atlases in health and disease
  have provided a powerful new tool for the interpretation of the human gen
 etics of disease by placing risk alleles in their cellular and tissue cont
 ext. Yet even as atlases continue to grow in scale\, there is an enormous 
 space of genetic and therapeutic possibilities\, which exceeds by many ord
 ers of magnitude what can ever be tested in a lab\, clinical trial\, or ev
 en an entire population. Historically\, this challenge was tackled by rest
 ricting the search space by prior knowledge\, a practical approach which n
 evertheless severely limited our ability to make new discoveries and effec
 tive predictions. Instead\, to augment these atlases\, generative AI can m
 ake testable predictions of missing or nonexistent information\, for examp
 le bridging different layers of biology\, such as H&E and molecular inform
 ation\, helping to predict disease progression\, and generating therapeuti
 c molecules de novo or through optimization. Key to the success of this ap
 proach is an integrated interplay between data and algorithms\, or a “La
 b in a Loop\,” where experimental or clinical data are used to train mod
 els\, the models are used to predict the next set of experiments\, and the
  process is iterated\, at scale\, both to yield key predictions in any spe
 cific project and improve the model for all projects. In this talk\, I wil
 l describe the journey from cell and tissue atlases to therapeutic applica
 tions\, the scientific basis of this approach\, and how we built such a La
 b in a Loop of experiments and AI in Genentech across our target discovery
 \, drug discovery and drug development efforts to serve patients across th
 erapeutic areas. 
LOCATION:In person in the Max Perutz Lecture Theatre (CB2 0QH) 
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