A new study published in the Journal of Medical Internet Research has found that the most effective way to prevent fraudulent activity in health research is to implement a combination of automated and manual actions during the prescreening, screening, and enrollment process. The study provides a manual checklist of precautions that researchers can utilize to identify suspicious behavior and thwart fraudulent actors from successfully enrolling in online studies. 

The Mount Sinai Health System today announced that it will implement Microsoft Dragon Copilot, a new AI clinical assistant designed to streamline clinical documentation, surface critical information, and automate administrative tasks across care settings. The rollout marks a major milestone in Mount Sinai’s ongoing digital transformation and its commitment to using responsible artificial intelligence to support clinicians and deliver better outcomes for patients.

MIT researchers have analyzed different nuclear waste management strategies, with a focus on the high-risk radionuclide iodine-129.

Published in Current Biology, a new method from scientists at the Okinawa Institute of Science and Technology (OIST) harnesses ‘jumping genes’ to recreate the termite tree of life, showcasing a new way for researchers to solve ancient evolutionary mysteries. "Challenges arise when trying to predict evolution across deep history," says author Professor Thomas Bourguignon. "Phylogenetic signals are often weak, and radiation events, where species rapidly diversify over a short period, add complexity, making it difficult to identify the order that individual species emerged. Our new method supports researchers to tackle these tricky scenarios”.