This is a past event
Using Wearables & AI to transform our understanding of health.
Smartphones and wearable devices provide a major opportunity to transform our understanding of the mechanisms, determinants, and consequences of diseases, including arthritis, dementia, and heart disease. For example, around 9 in 10 people own a smartphone in the United Kingdom, while one-fifth of US adults own wearable technologies. This high level of device ownership means that many people could contribute to health research from the comfort of their home by offering small amounts of time to share data and help address health-related questions that matter to them. A leading example is the seven day wrist-worn accelerometer data measured in 100,000 UK Biobank participants between 2013-2015 that has led to important new findings. These include discoveries of: new genetic variants for sleep and activity; small amounts of vigorous non-exercise physical activity being associated with substantially lower mortality; and no apparent upper threshold to the benefits of physical activity with respect to cardiovascular disease risk. In this talk I will review progress made in this exciting new area of health data science and share opportunities to provide new insights into physical activity, sleep, heart rhythms and their role in health and disease.
Biography: Professor Aiden Doherty is a Wellcome Trust Senior Research Fellow and Professor of Biomedical Informatics at the University of Oxford. His research group develops reproducible methods to analyse wearable sensor data in very large health studies to better understand the causes and consequences of disease. Professor Doherty has also contributed to the creation of guidelines on the use of mobile devices in clinical trials, in collaboration with the US Food and Drug Administration (FDA) supported Clinical Trials Transformation Initiative on “Mobile Clinical Trials”.
- Speaker
- Professor Aiden Doherty
- Hosted by
- HDR UK Cambridge
- Venue
- Zoom
- Contact
-
Join Zoom Meeting
https://sanger.zoom.us/j/91603767172?pwd=emVYbWNid2pZNHlERkxrMk9UNnN4QT09
Meeting ID: 916 0376 7172
Passcode: 045975Please contact Lauma Ramona if you have any queries (lr17@sanger.ac.uk).