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 ...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...

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 ...

In the contemporary sociopolitical context, very few concepts are as relevant and evolving as biopolitics. The conceptual contours of biopolitics focus on how modern states exercise power not only ...

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.

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

Image courtesy by QUE.com How AI Is Revolutionizing Robot Design with Self-Healing Capabilities In recent years, artificial ...

Explore the recent advances in fuzzing, including the challenges and opportunities it presents for high-integrity software ...