University of Cambridge > Talks.cam > HDR UK Cambridge Seminar Series > Using wearables & AI to transform our understanding of health

Using wearables & AI to transform our understanding of health

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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.

This talk is part of the HDR UK Cambridge Seminar Series series.

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