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SUMMARY:Oncological Digital Twins: An AI-first modelling perspective at th
 e molecular scale - Kevin Litchfield (Isomorphic Labs)
DTSTART:20250918T105000Z
DTEND:20250918T111000Z
UID:TALK235450@talks.cam.ac.uk
DESCRIPTION:Here we focus on computational modelling at the molecular scal
 e\, leveraging an AI first approach to biomolecular structure and interact
 ion prediction. This work is built on the hypothesis that biology can be c
 onsidered an information processing system &ndash\; one that transmits inf
 ormation and maintains structure &ndash\; and tools from machine learning 
 can be utilised to model biological processes.&nbsp\; Prior work in the co
 ntext of protein folding (Jumper et al. 2021 Nature\, Abramson et al. 2024
  Nature) has demonstrated the potential of this approach in the domain of 
 structural biology\, and AI enabled models are now being developed across 
 multiple biological scales. 
LOCATION:Seminar Room 1\, Newton Institute
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