Age Resist

Project Overview
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About
People of the same age can respond very differently to physical stress, such as surgery, yet clinicians lack a practical way to assess their capacity to cope and recover. This project combines information from sweat, vital signs and other relevant factors to build a picture of how the body responds to stress and recovers afterwards. Machine learning translates these changing signals into an estimate of resilience, which could help doctors identify vulnerable patients, tailor care and anticipate recovery.





