A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma with high accuracy.

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

MethylScan is a low-cost blood test that detects multiple cancers and liver diseases by analyzing DNA methylation patterns ...

The intriguing story that went viral online gained significant global attention in March 2026, demonstrating how a determined ...

People whose brain age is older than their actual chronological age by 10 years may have a 39% higher future risk of dementia ...

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how unicellular organisms respond to stress, focusing on cell-to-cell differences.

Master ultra-high-throughput screening principles. Learn how advanced automation and miniaturization accelerate drug ...

Researchers suggest their approach has the potential to transform early disease detection and health monitoring across diverse clinical settings.

April 9, 2026 - By Denise Heady - UCLA scientists have developed a simple and cost-effective blood test that, in early ...