Machine learning tool detects the risk of genetic syndromes in children with diverse backgrounds

With an average accuracy of 88%, a deep learning technology offers rapid genetic screening that could accelerate the diagnosis of genetic syndromes, recommending further investigation or referral to a specialist in seconds, according to a new study. Trained with data from 2,800 pediatric patients from 28 countries, the technology also considers the face variability related to sex, age, racial and ethnic background.

from Latest Science News -- ScienceDaily https://www.sciencedaily.com/releases/2021/09/210901191416.htm