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New framework boosts the accuracy of disease risk prediction from genetic data
Investigators at Cedars-Sinai Health Sciences University have developed a computational framework to improve how genetic data is used to estimate an individual's inherited risk of developing conditions like Alzheimer's disease, type 2 di…
AI Summary
Investigators at Cedars‑Sinai Health Sciences University have created a new computational framework designed to enhance the use of genetic data for estimating an individual’s inherited risk of several conditions, including Alzheimer’s disease, type 2 diabetes, high blood pressure and breast cancer. The framework aims to improve the accuracy of disease‑risk predictions derived from a person’s genetic profile.
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