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How AI Can Help Spot Early Risk Factors for Alzheimer’s Disease

UCSF scientists found a way to predict Alzheimer’s disease up to seven years before symptoms appear by analyzing patient records with machine learning. Conditions that most influenced prediction of Alzheimer’s were high cholesterol and, for women, osteoporosis.

An abstract illustration of a person whose brain is visible thorugh their head, signifying intelligence and thought.

Genetic Discovery Reveals Who Can Benefit from Preterm Birth Therapy

In a first, scientists at UCSF and Stanford identified genetic variants that predict whether a patient is likely to respond to treatment for preterm birth. Screening for mutations could allow doctors to target medications to those most likely to benefit. No medication is currently available in the U.S. to treat preterm birth.

A Black pregnant woman sits comfortably on her couch at home and affectionately looks down at her growing stomach.