Machine learning identifies factors that may determine the age of onset of Huntington's disease

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
techtimes

Advancing Multimodal AI for Integrated Understanding and Generation

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

Development and real-world validation of a multi-modal machine learning model to predict response to immune checkpoint inhibitors in cancer patients.

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 ...
EurekAlert!

SOPHiA GENETICS presents ground-breaking multimodal research on AI-driven patient stratification at ESMO 2024

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 ...
Devdiscourse

Data-driven neurology: AI systems close gap in Parkinson’s detection

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