Name: Diagnosing the Future: AI in Medicine
Start: 2026-05-18T19:30:00
End: 2026-05-18T21:30:00
Location: Marlborough Arms

In this Pint of Science we explore AI's role in medicine. First, Andrew Potterton explores how machine learning is transforming drug discovery: from lucky breakthroughs to deliberate design. Then, Yaniv Abir will explain how computational psychiatry is revealing that motivation and mood are learned, opening new frontiers in mental health research.

"Solve all diseases using artificial intelligence" - an impossible dream?

Andrew Potterton (CTO and Co-founder of Ternary Therapeutics)

How much has machine learning/artificial intelligence impacted drug discovery? After decades of serendipitous pharmaceutical discovery, we are now in the era of targeted drug discovery. This talk will cover notable examples of drugs discovered by luck versus those designed using computer-aided deliberate design.

Learning to Feel Better: How Motivation and Mood Are Learned from Experience

Yaniv Abir (Research Fellow in Computational Psychiatry, Max Planck UCL Centre for Computational Psychiatry and Ageing Research)

Why do some things feel energising, while others leave us flat? And why does this change over time? In this talk, I’ll explore the idea that motivation and mood aren’t fixed traits, but things we learn through experience. Drawing on work from my own research and the new field of computational psychiatry, I’ll share how the science of learning is helping us make breakthroughs in understanding mood and motivation - the building blocks of being effective and feeling well.

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