Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

SOPHiA GENETICS, in collaboration with AstraZeneca, conducted a study that leveraged advanced AI-driven techniques to identify subgroups of stage IV non-small cell lung cancer (NSCLC) patients who ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Trends in immune-related adverse event reporting among multidisciplinary cancer programs. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full ...

Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...

According to the paper, artificial intelligence addresses a core weakness in Parkinson’s care: reliance on subjective ...

Research highlights the use of multimodal machine learning to identify non-small cell lung cancer patients predicted to derive the most benefit from combination immunotherapy The research is a ...