Science Daily

Bioinformatics: Researchers develop a new machine learning approach

To combat viruses, bacteria and other pathogens, synthetic biology offers new technological approaches whose performance is being validated in experiments. Researchers applied data integration and ...
The American Journal of Managed Care

Bioinformatics, Machine Learning Reveal New Insights Into MG-Associated DCM

Researchers explain that these insights have important implications, if validated in further research, as challenges with early detection of dilated cardiomyopathy complicate myasthenia gravis ...

Influential Women profiles Soukaina Amniouel, PhD, computational biology fellow advancing cancer research at NCATS.

BETHESDA, VA, UNITED STATES, June 12, 2026 /EINPresswire.com/ -- Integrating Bioinformatics, Machine Learning, and ...
Nature

Identification of sepsis-associated encephalopathy biomarkers through machine learning and bioinformatics approaches

Sepsis-associated encephalopathy (SAE) is common in septic patients, characterized by acute and long-term cognitive impairment, and is associated with higher mortality. This study aimed to identify ...
Nature

Identification of palmitoylated biomarkers in non-alcoholic fatty liver disease via integrated bioinformatics analysis and machine learning

Non-alcoholic fatty liver disease (NAFLD) is a global health challenge with complex pathogenesis and limited diagnostic biomarkers. Palmitoylation, a post-translational modification, has emerged as a ...
Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...