pharmaphorum December 29, 2023
Phil Taylor

Eisai has joined forces with Oita University in Japan to develop a machine-learning tool that may be able to predict whether someone is at risk of developing Alzheimer’s disease using a wrist-worn sensor.

The device is designed to predict the accumulation in the brain of amyloid beta, which aggregates to form distinctive plaques in the brains of people who develop Alzheimer’s and some other forms of dementia.

The wristband measures a range of biological data such as physical activity, sleep and heart rate, and is analysed by the ML algorithm in conjunction with lifestyle data obtained from medical consultations.

The lifestyle data is broad, covering medical history as well as the number of household members, employment status, frequency of going...

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