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

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

NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...

Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

A new article outlines a new tool that measures blood inflammation as a marker for poor CAR T therapy outcomes. Researchers with City of Hope, one of the largest and most advanced cancer research and ...

Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...

In a recent study published in JAMA Network Open, researchers developed and validated four machine learning (ML) models on a dataset comprising more than 30,000 participants to identify a novel ML ...

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, ...