Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

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 ...

Adaptive workflow systems represent a significant departure from rigid, process-centric approaches. Instead of imposing a linear, step-by-step structure, teams will be able to dynamically assign and ...

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 ...

Whether you are getting a blood test, stepping on a smart scale, or wearing a fitness tracker, you are generating a stream of personal medical data. But who truly owns that information? As medical ...

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Clinical/professional psychologists are engaged in a debate about what constitutes the best identity and training model for the field. Below re-post a blog I did on the APA Division 24 website for ...

Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...