A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial ...

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University Summary: Systems controlled ...

By Paul McClure June 15, 2023 Researchers have developed a machine-learning model to identify chemicals that may combat aging Depositphotos View 1 Images ...

A machine learning algorithm for detecting and classifying acute respiratory disease showed good predictive ability based on cough sounds among pediatric patients, according to a new study ...