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

Prediction-powered inference integrates a small gold-standard dataset with a large auxiliary dataset informed by machine ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

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

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

As AI's integration in the process of designing and improving industrial infrastructure progresses, governance needs to ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

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

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out of place with our traditional row homes that have been here for a hundred ...