Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...