How can AI sentiment analysis apply to complex medical diagnoses?
Peer-Reviewed Publication
Updates every hour. Last Updated: 23-Dec-2025 14:11 ET (23-Dec-2025 19:11 GMT/UTC)
In a new study involving 402 U.S.-based primary care physicians, researchers from Northwestern University and the University of Sydney identified a “sweet spot” in clinical decision-making. By presenting just the right number of treatment alternatives in the electronic health record (EHR) system, physicians were more likely to choose a high-quality alternative rather than defaulting to the status quo.
Allen Institute researchers and engineers have unlocked potential and vast discoveries through the new Brain Knowledge Platform (BKP). This first-of-its-kind database and research tool has just launched with data from over 34 million brain cells. It compiles and standardizes the world’s neuroscience data into a common format and language allowing deep, seamless collaboration between international teams all united in the common goal of finding cures for brain disease.
In many modern sciences, data often exist on curved geometric spaces rather than flat planes, posing challenges for traditional statistical tools. These curved spaces are called Riemannian manifolds. Researchers from Pusan National University and Seoul National University have developed the “Huber mean,” a new method for robustly analyzing data on Riemannian manifolds. This study offers a powerful way to calculate averages that remain accurate even when data contain noise or outliers.
Supported catalysts are widely used in various chemical processes. However, most catalysts perform well only for specific chemical reactions, necessitating new methods to diversify and improve performance. Now, researchers have developed an innovative gas-switch-triggered reduction method for impregnation-based synthesis of supported catalysts, consisting of multiple alloyed metals. This method is simple, scalable and can be integrated easily into industrial processes, paving the way for advanced catalysts for more sustainable chemical synthesis.