Scientists at the Earlham Institute introduce MARTi, a powerful new tool for the real-time analysis of nanopore metagenomics.

A text message–based system that regularly updates long-term hospital patients’ status and care facilities’ availability helps streamline the typically time-consuming placement process.

About The Study: Among adults with prediabetes and overweight or obesity, referral to a fully automated AI-led Diabetes Prevention Program (DPP) was noninferior to referral to a human-led DPP in achieving a composite outcome based on weight reduction, physical activity, and HbA1c.

Using publicly available AI foundation models such as OpenAI’s ChatGPT and Meta’s Segment Anything Model (SAM), Duke engineers built an AI microscope platform that can analyze materials as accurately as a trained graduate student in a fraction of the time. The findings point to a new era of autonomous research, where AI systems work alongside humans to design experiments, run instruments and interpret data.

Researchers at the University of Kansas have conducted a study based on their building of the Kansas Energy Transition Atlas. The tool gathers wind energy regulations for all of the state's 105 counties, showing what kind of regulations each has, as well as information on transmission lines, turbine height and much more. The study shows how many counties have regs that enable wind development, how many seek to block them and show that agricultural reliance factors into allowing wind in a county, while voting patterns did not factor in to types of regs. The site not only shows how a state with massive wind energy potential handles the issue, but can help guide the nation in energy transition policies, the researchers argue.