van der Schaar Lab

Revolutionizing Healthcare: ML tools for cancer (risks, screening, diagnosis)

Recording of the van der Schaar Lab’s fourth Revolutionizing Healthcare engagement session, which took place virtually on January 28, 2021, and was attended by over 30 healthcare professionals (primarily clinicians).

The focus of the session was on addressing real-world problems in the cancer domain (with an emphasis on the pathway up to the point of diagnosis) by matching them to formalisms.

Introduction – 0:00​​
Declaration of interests – 2:25
Introduction by Mihaela – 3:38
Self-introductions from cancer clinicians – 4:59
Problems/questions raised by cancer clinicians – 8:15​​
Mihaela’s presentation – 23:17​​
Q&A session – 56:16
Intro to next sessions and note on CPD credits – 1:12:17

NOTE: This information was up-to-date at the time of the presentation but does not take into account material published since then.

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Nick Maxfield

Nick oversees the van der Schaar Lab’s communications, including media relations, content creation, and maintenance of the lab’s online presence.

Nick studied Japanese (BA Hons.) at the University of Oxford, graduating in 2012. Nick previously worked in HQ communications roles at Toyota (2013-2016) and Nissan (2016-2020).

Given his humanities/languages background and experience in communications, Nick is well-positioned to highlight and explain the real-world impact of research that can often be quite esoteric. Thankfully, he is comfortable asking almost endless questions in order to understand a topic.

Mihaela van der Schaar

Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge, a Fellow at The Alan Turing Institute in London, and a Chancellor’s Professor at UCLA.

Mihaela has received numerous awards, including the Oon Prize on Preventative Medicine from the University of Cambridge (2018), a National Science Foundation CAREER Award (2004), 3 IBM Faculty Awards, the IBM Exploratory Stream Analytics Innovation Award, the Philips Make a Difference Award and several best paper awards, including the IEEE Darlington Award.

In 2019, she was identified by National Endowment for Science, Technology and the Arts as the most-cited female AI researcher in the UK. She was also elected as a 2019 “Star in Computer Networking and Communications” by N²Women. Her research expertise span signal and image processing, communication networks, network science, multimedia, game theory, distributed systems, machine learning and AI.

Mihaela’s research focus is on machine learning, AI and operations research for healthcare and medicine.