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

By bringing the training of ML models to users, organizations can advance their AI ambitions while maintaining data security.

Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...

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 that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

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

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

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.