The Potential of Machine Learning in Medicine - Joint Deep Cambridge/ PDOC Event

Deep Cambridge
Deep Cambridge
Public group
Location image of event venue


The first joint Deep Cambridge and PDOC will consist on a talk by Dr Antony Rix entitled "Artificial peril or transformation? The potential of machine learning in medicine." This talk will be followed by a networking and discussion session.

The Seminar Room and Eastwood Room in the Postdoc Centre at 16 Mill Lane have been booked for this on the 14th January. Here is the proposed schedule:

6.30pm Registration

7-8pm Talk & Q&A

8-9pm Networking & discussion.

Artificial peril or transformation? The potential of machine learning in medicine.

This presentation highlights how AI and ML could enhance productivity, accuracy and delivery of healthcare, drug discovery and medical research, illustrating recent developments by reference to startups and selected papers. Developers, clinicians and organisations can underestimate regulatory, ethical and commercialisation challenges, the risks of malfunction, limited generalisation, and resulting harm. We explore these through case studies and provide an overview of important processes.

Dr Antony Rix is a serial entrepreneur, engineer and data scientist based in Cambridge. He began his career applying ML in telecoms, leading to his first startup, Psytechnics, and PhD. After 12 years in software development and consulting in communications, signal processing and digital health at TTP, he became founding CEO and investor at Cambridge University spin-out 8power. In 2018 he set up Granta Innovation to advise companies on novel applications of ML and AI. He is building a novel technology platform and business applying medical imaging and AI to cancer.