Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Bacterial immune systems protect against viral invaders called phages by precisely targeting specific phage genetic sequences ...

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

A new tool that uses machine learning for drug discovery predicts how molecules will influence gene expression.

Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful ...

A new study published in the journal Carbon Research introduces an advanced machine learning model capable of predicting how ...

Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out ...