When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

Traditional approaches to forensics are massively cumbersome. These would include analyzing network traffic, continually instrumenting and analyzing log files and then watching for anomalous behavior ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

A review of machine learning (ML) models developed to support the management of chronic lymphocytic leukemia (CLL) have demonstrated positive outcomes, including accurate diagnosis and improved work ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

We trained and tested ML systems that predict a deterioration in nine patient-reported symptoms within 30 days after treatments for aerodigestive cancers, using internal electronic health record (EHR) ...