Digital Phenotying

The Phenome@BDI monthly seminar series aims to bring together and share expertise of researchers within Oxford’s Big Data Institute with an interest in the application of machine learning, artificial intelligence and statistical approaches to develop new phenotypes using digital data (imaging, pathology, sensors) for application in clinical care and health care delivery. The seminar would involve a 30-40 minute talk, followed by Q&A and time for networking. Please note the seminar is open to all members of the University.

Wednesday 8 November 2023 (5th Week, Michaelmas Term)

Wednesday 22 November 2023 (7th Week, Michaelmas Term)

Wednesday 29 November 2023 (8th Week, Michaelmas Term)

Wednesday 31 January 2024 (3rd Week, Hilary Term)

Wednesday 28 February 2024 (7th Week, Hilary Term)

Wednesday 13 March 2024 (9th Week, Hilary Term)

Wednesday 17 April 2024 (0th Week, Trinity Term)

Wednesday 8 May 2024 (3rd Week, Trinity Term)

Monday 3 June 2024 (7th Week, Trinity Term)

Wednesday 12 June 2024 (8th Week, Trinity Term)

Tuesday 2 July 2024 (11th Week, Trinity Term)

Wednesday 3 July 2024 (11th Week, Trinity Term)

This series features in the following public collections: