MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to unravel the complexity of ...