With predictive modeling techniques, it is possible to predict anything from clients’ shopping habits and illnesses to a golfer’s handicap. The only prerequisite is to have enough examples.

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn ... "By leveraging machine learning, we can provide a tool that helps policymakers and ...

This machine learning technology indicates the presence of a genetic syndrome from a facial ... "Unlike other technologies, the strength of this program is distinguishing 'normal' from 'not ...

Researchers at Baylor College of Medicine and collaborating institutions used complementary approaches that integrate exome ...

Software engineer, machine learning: Computer science fundamentals and programming ... gradient descent, genetic algorithms, bagging, boosting, and other model-specific methods), as well as ...

Polygenic risk scores, or PRS, reflect a person's genetic susceptibility to a particular disease ... which people are now questioning. With AI and machine learning algorithms, you have to be really ...

Building on these insights, the team developed a machine learning tool to predict how patients with advanced lung cancer might respond to immunotherapy. These discoveries highlight how genetic ...

Researchers compare advanced genetic methods that pinpoint a tree’s origin on a continuous scale, refining seed sourcing, ...