Researchers develop new 'emotionally aware' model for classifying mental health conditions

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

MLCommons Releases MLPerf Training v6.0 Results

Today, MLCommons ® announced new results for the MLPerf ® Training v6.0 benchmark suite. The two new benchmarks added in this ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Frontiers

Integrating multimodal data to advance predictive biomarkers for cancer immunotherapy outcomes

The field of cancer immunotherapy has reshaped modern oncology, with immune checkpoint inhibitors and cellular therapies producing unprecedented and durable ...