For patients taking medications that don't work as expected or pharmaceutical companies struggling with clinical trial ...

Inherited hyperbilirubinemia, encompassing Gilbert syndrome, Crigler-Najjar syndrome, Dubin-Johnson syndrome, and Rotor ...

Combining polymers in blends creates materials with tailored properties, improving toughness, chemical resistance, and thermal performance for industrial use.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

The study uncovers obesity's genetic links to chronic diseases, offering insights into multimorbidity and the potential for ...

Abstract: Thanks to its outstanding performance, the CRC-aided successive cancellation list (CA-SCL) decoding algorithm has gained widespread acceptance for polar codes. However, its complexity is ...

BrainIAC analyzes brain scans across diseases, learns from minimal data, offers hope for rare condition diagnosis.

In the fast-changing landscape of the health and wellness sector, businesses require more than generic solutions. They seek platforms that can evolve in accordance with their distinct vision, branding ...

Rutgers Develops New Tool for Examining Cancer Genomic Data that Could Improve Treatment When scientists sequence tumor DNA, they typically find small amounts of genetic code from bacteria, viruses ...

New research shows supervised machine learning models combining Helicobacter pylori genomic data with patient demographics can accurately predict gastric cancer risk.

Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome configuration, they said their findings show tumors follow measurable rules ...