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 ...
Opinion
The Nation (PK) on MSNOpinion

Politics of Algorithm

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 ...
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.
People whose brain age is older than their actual chronological age by 10 years may have a 39% higher future risk of dementia ...
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 ...
MethylScan is a low-cost blood test that detects multiple cancers and liver diseases by analyzing DNA methylation patterns ...
Explore the recent advances in fuzzing, including the challenges and opportunities it presents for high-integrity software ...