The Icahn School of Medicine at Mount Sinai has been awarded a $3.32 million, four-year grant from the National Heart, Lung and Blood Institute of the National Institutes of Health (NIH) to study a new artificial intelligence (AI)-based tool that has the potential to predict cardiovascular event risk and treatment response among individuals with obstructive sleep apnea (OSA). The findings from this study could help clinicians make more informed recommendations about OSA treatment for their patients.

Vision happens when patterns of light entering the eye are converted into reliable patterns of brain activity. This reliability allows the brain to recognize the same object each time it is seen. Our brains, however, are not born with this ability; instead, we develop it through visual experience. Collaborating scientists at MPFI and the Frankfurt Institute for Advanced Studies have recently discovered key circuit changes that lead to the maturation of reliable brain activity patterns. Their findings, published in Neuron this week, are likely generalizable beyond vision, providing a framework to understand the brain’s unique ability to adapt and learn quickly during the earliest stages of development.

NYU Tandon researchers have developed an artificial intelligence system that could significantly improve fire safety by detecting fires and smoke in real-time using ordinary security cameras already installed in many buildings.