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 ...

SANTA CLARA, CA - February 21, 2026 - - Interview Kickstart today announced the release of its latest in-depth career guide, "How to Transition from Data Analyst to Data Scientist," a comprehensive ...

ATRIMED’s work is driven by a women-led leadership and research culture that emphasizes interdisciplinary collaboration and long-term scientific investment. From data curation to algorithm development ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Researchers from the Heat and Mass Transfer Laboratory of Tomsk Polytechnic University, with the support of the federal program of the Ministry of Education and Science of the Russian Federation ...

A new study led by Georgia Tech might confirm this suspicion. Using recently acquired data from more than 10,000 adolescent ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

The study An actionable framework for AI-ready data, published in AI Magazine, presents a practical roadmap for strengthening the foundations of artificial intelligence. It details how organizations ...

In pet genetics, cancer research, and beyond, Charlie Lieu, MBA ’05, SM ’05, has spent her career harnessing massive data ...