Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

The field of bioinformatics has seen significant advancements in recent years, particularly in the application of artificial intelligence (AI) for the analysis and interpretation of large-scale data ...

Researchers at The University of Texas MD Anderson Cancer Center have developed a new computational approach designed to ...

CU Boulder’s Bortz group, in applied math, wins $1.88 million National Institutes of Health grant to study methods for learning models directly from data Data-driven discovery methods are a recently ...

Brain imaging technologies (e.g., MRI, PET, advanced microscopy) are foundational tools for deciphering the brain's ...

Explore technical features and comparative strengths of MaxQuant, Proteome Discoverer, FragPipe, and DIA-NN workflows.

Survival Outcomes of Patients With Tropomyosin Receptor Kinase Fusion-Positive Cancer Receiving Larotrectinib Versus Standard of Care: A Matching-Adjusted Indirect Comparison Using Real-World Data ...

Sheng Di, a computational scientist in the Mathematics and Computer Science division at the U.S. Department of Energy’s (DOE) ...

This guide is designed to show you how to use Google Gemini for data analysis. In today’s digital age, we are witnessing an unprecedented surge in the volume of data generated globally. This rapid ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...