Feb. 14, 2024, 8:11 p.m. | ODSC - Open Data Science

Stories by ODSC - Open Data Science on Medium medium.com

In a new study, reported in Nature Aging, researchers analyzed approximately 1,500 blood proteins from over 50,000 participants in the UK Biobank, finding profiles that predict future dementia in healthy adults using machine learning algorithms.

According to the study, the four proteins — GFAP, NEFL, GDF15, and LTBP2 were identified. The study states that elevated levels strongly correlate with the future development of dementia. This discovery is significant as it represents a major step towards developing non-invasive blood tests …

aging algorithms artificial intelligence data science dementia diagnosis future healthcare machine machine learning machine learning algorithms nature profiles proteins researchers study

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