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Machine learning-triggered reminders improve end-of-life care for patients with cancer

Written by | 14 Jan 2023

Electronic nudges delivered to health care clinicians based on a machine learning algorithm that predicts mortality risk quadrupled rates of conversations with patients about their end-of-life care preferences,… read more.

Fitness levels can be accurately predicted using wearable devices

Written by | 3 Dec 2022

Cambridge researchers have developed a method for measuring overall fitness accurately on wearable devices – and more robustly than current consumer smartwatches and fitness monitors – without the… read more.

Study proposes new parameters for diagnosis of sarcopenia

Written by | 22 Oct 2022

Sarcopenia, a clinical syndrome characterized by progressive and extensive decline in skeletal muscle mass, force and function, is widely considered part of aging. Early diagnosis is extremely important… read more.

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