Weill Cornell Medicine researchers are using machine learning, a form of artificial intelligence, to shed light on genetic mutations associated with spina bifida.

Layered within these actions are additional information, such as gait pattern, velocity, distance traveled and locations visited. Using machine learning, they evaluated this information and identified ...

This research roundup explores the role of sugar molecules in brain degeneration, a machine learning algorithm to detect diseases and a generative AI tool that can generate original genetic code.

Cell growth seems like a simple concept, but scientists still have a lot to discover about this mechanism. Now, researchers have developed a machine learning algorithm to predict the size that an ...

They’re related, but not interchangeable.The ABCs of AI, algorithms and machine learning They’re related, but not interchangeable.

Predicting which patients will respond well to treatment is a quandary that has plagued the field of cancer immunotherapy for more than four decades. Now, researchers at the Johns Hopkins Kimmel ...

These data were then used to train a machine learning algorithm to help researchers design the best fix for a given genetic flaw, which promises to speed up efforts to bring prime editing into the ...

Machine learning is great at finding patterns but doesn’t know what those patterns mean. Combine it with knowledge gained from genetic research and you have a powerful view into the workings of ...

They're related, but not interchangeable. Get even smarter with the “Make Me Smart” newsletter. We’ll start your Friday right by explaining the news, rounding up the best stories we read this week and ...