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Adjacent Space: Drug Discovery
AI for Drug Discovery
We are developing an AI system that acts like a team of scientists working together to accelerate drug discovery. Our technology uses multiple AI agents that read scientific papers, analyze medical data, and suggest new ideas for treatments - similar to how researchers brainstorm and critique each other's work. Through our partnership with Novo Nordisk in Oxford, we're testing this system on real drug development projects, aiming to dramatically reduce the time and cost of finding new medicines. By making drug discovery faster and more reliable, we can help bring life-saving treatments to patients sooner.
Philip Torr's Lab
University of Oxford
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Oxford
Torr Lab
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Philip Torr
Professor of Engineering Science; Five AI/Royal Academy of Engineering Research Chair in Computer Vision and Machine Learning
Philip Torr leads Torr Vision Group, which applies deep learning techniques to a wide ranging set of topics. He has been involved in numerous spin-outs as founder or advisor including: FiveAI, Onfido, Oxsight, Eigent, DreamTech, Visionary Machines, CamelAI, as well as working closely with big tech companies like Google, Meta, Apple, Microsoft, and Sony.
