Machine learning for medicine: Predicting, pre-empting and treating disease

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• Professor Mihaela van der Schaar - John Humphrey Plummer Professor, University of Cambridge
• Wednesday 10 October 2018, 16:15-17:00
• Lecture Theatre 1, Computer Laboratory.

If you have a question about this talk, please contact jo de bono.

In this talk, I will give an overview of our research work on developing state-of-the-art machine learning & AI theory and methods aimed at providing actionable intelligence to patients, clinicians, medical researchers, and healthcare providers. This will include a discussion of our work on automated machine learning for the design of models for predicting clinical risk (AutoPrognosis), on leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks (RadialGAN) and on the fundamental theory and methods for causal inference and individualized treatment effects. More about our work can be found at: http://medianetlab.ee.ucla.edu

This talk is part of the jd670's list series.

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• Lecture Theatre 1, Computer Laboratory

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