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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Oncological Digital Twins: An AI-first modelling perspective at the molecular scale
Oncological Digital Twins: An AI-first modelling perspective at the molecular scaleAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact nobody. OOEW07 - Mathematical Foundations of Oncological Digital Twins Here we focus on computational modelling at the molecular scale, leveraging an AI first approach to biomolecular structure and interaction prediction. This work is built on the hypothesis that biology can be considered an information processing system – one that transmits information and maintains structure – and tools from machine learning can be utilised to model biological processes. Prior work in the context 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. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
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