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 ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Clinical Interchangeability of PD-L1 Immunohistochemistry Assays in First-Line Non–Small Cell Lung Cancer Management With Cemiplimab Internal iliac and obturator lymph nodes are common sites of ...

A new artificial intelligence tool could aid in limiting or even prevent pandemics by identifying animal species that may harbor and spread viruses capable of infecting humans. The machine learning ...

A machine learning model may be a valid method of determining the risk for recurrence of MS among individuals who discontinue ...

This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...

A new study published in Applied Sciences (MDPI) demonstrates how artificial intelligence can accurately predict carbon ...

Nearly 85% of the 1.7 million adolescents with HIV live in sub-Saharan Africa, along with half of the nearly 40 million people in the world living with HIV. Although the government in Uganda provides ...