A new computer model could accurately predict a person’s height to within one inch just by analyzing their DNA
AI-driven diagnostic tools are undeniably on the precipice of revolutionizing how doctors treat and manage patients. The ability for machine-learning algorithms to crunch immense volumes of patient data and find patterns not visible to the eyes of human clinicians is revealing new ways to predict everything from breast cancer risk to a person’s chances of developing Alzheimer’s disease.
Now, a team of scientists from Michigan State University claims to have built a computer algorithm that can analyze a person’s complete genome and accurately predict how tall they are with only around a one-inch (2.5-cm) margin of error. The machine-learning system was trained on a dataset of nearly 500,000 adults.