Date: 24 May, 1.30pm-5pm (abstract deadline: 12 May)
Venue: Online
The Cambridge Centre for AI in Medicine (CCAIM) is focused on developing pioneering AI and machine learning (ML) technologies to transform biomedical science, medicine and healthcare and creating a campus wide ecosystem of collaborations across the University of Cambridge, the Sanger Institute, and EBI. CCAIM is searching for two main types of collaborators:
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Quantitative researchers that are developing cutting-edge ML and AI methods for biomedicine and healthcare
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Biomedical researchers and clinicians with impactful datasets and challenging problems that might be solved using ML.
They are inviting potential collaborators to submit written abstracts to Amy Dolben ahead of the event and by no later than 12 May:
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Quantitative researchers should outlined their proposed research and its potential utility for biomedicine.
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Biomedical researchers and clinicians should outline the biomedical and healthcare challenge which could be resolved using ML and AI methods.
