ATRIMED’s work is driven by a women-led leadership and research culture that emphasizes interdisciplinary collaboration and ...

Healthcare organizations are investing rapidly in AI and advanced analytics, yet many struggle to translate clinical data into tools that are safe, equitable, and useful in real care settings.

In the early 2000s, Paul Harris, a research informatics faculty member and bioengineer at Vanderbilt University Medical Center, noticed a pressing problem. While working with research teams, he found ...

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 ...

For all the strides made in recent years breaking down the many barriers to data interoperability across the healthcare ecosystem, challenges still remain. One of the biggest is sharing patient ...

Both fields are in high demand, pay well, and lead to exciting, future-proof careers. If you're deciding between becoming a data scientist or an AI engineer, the choice often comes down to what ...