Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

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

Researchers identified a gene niche that promotes liver tumorigenesis and built a machine-learning score to detect it. The model predicted cancer risk and recurrence with high accuracy using non-tumor ...

Researchers at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. The ...

AI-powered malware in 2026 has evolved far beyond traditional viruses. Instead of static code, ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 possible variants—more combinations than atoms in the observable universe.

A new light-based imaging approach has produced an unprecedented chemical map of the Alzheimer’s brain. Rice University researchers have produced what they describe as the first full, label-free ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

Scientists may have narrowed down the landing site of the Soviet Union's Luna 9, which in 1966 became the first spacecraft to ...

Mark Zuckerberg’s court testimony that companies should build “useful” products has reignited debate on morality of algorithms ...