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 ...

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

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 ...

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

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

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

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, ...

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.

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden ...

As agent hype fades, machine learning quietly proves it’s still essential.