AI is the proverbial hammer. I have a nail in clinical psychology. I tried mapping the hammer to the nail and came up with ...

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.

Randomized, controlled clinical trials are crucial for telling whether a new treatment is safe and effective. But often scientists don't fully report the details of their trials in a way that allows ...

Milovan Suvakov, Ph.D. Describe the structure, purpose and types of large medical data repositories available to researchers. Analyze available data types and differentiate between the levels of data ...

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 ...

Bringing a new drug to patients requires more than just identifying a promising candidate. Scientists must rigorously test the compound’s safety, biological activity, and pharmacokinetic properties ...