This one-day symposium on Friday, Nov. 14, will convene leaders in neuroscience, clinical research, biomedical engineering, and data science to explore strategies for advancing open and equitable scie ...

In a rare global collaboration, scientists from Japan and the United States joined forces to explore one of the universe’s ...

Learn how to use Google Colab for coding, data science, and AI projects with this beginner-friendly guide. Free GPU access ...

As screening and understanding of autism spectrum disorder (ASD) grows, a new national initiative tapping Drexel expertise ...

Currently, Gracie Nguyen ’27 (quantitative economics, computer science) and Thao Nguyen ’27 (quantitative economics, data ...

Most scientific data never fuel the discoveries they should.  For every 100 datasets created, around 80 remain in the lab, 20 are shared but rarely reused, fewer than two meet FAIR standards, and only ...

Scientists have a lot of questions about our planet’s most important carbon sink—and a new project could help answer them.

Atrial fibrillation (AFib) is a cardiac disorder in which the chambers of the heart beat rapidly and irregularly. It's the ...

Explore how BioTech360 makes “good data” accessible, reshaping what’s possible in life sciences research and development.

Explore the challenges faced by Ph.D. scholars in publishing, highlighting issues of research training, integrity, and ...

This presentation draws from two articles by Bob Pirok from the University of Amsterdam: How Many Repetitions Do I Need? Caught Between Sound Statistics and Chromatographic Practice How to ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...