EurekAlert!

Multimodal machine learning model effective at predicting response to CDK4/6 inhibitors in HR-positive, HER2-negative breast cancer patients

SAN ANTONIO – A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either clinical or genomic data in predicting which patients with ...
Healthcare in Europe

New insights on the onset of Huntington's disease

Context-dependent genetic modifiers of neurodegenerative condition revealed through multimodal machine learning ...
Frontiers

Multimodal AI for Aging: Integrating Clinical, Imaging, Sensor, and Omics Data

Aging is a complex, multi-system process that shapes health trajectories and risk for age-related outcomes across the life course. At the same time, aging ...
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 ...