The American Association for the Advancement of Science has named four New York University faculty as 2025 AAAS Fellows: Eray Aydil, Anirban Maitra, André Fenton, and Liina Pylkkänen.

AI-enhanced single-shot cine MRI produces superior image quality and provides ventricular measurements comparable to conventional cine MRI, according to new research.

At the University of Missouri, research moves with purpose. Across campus, faculty, staff and students are digging into the kinds of challenges that shape daily life — from public health and education to agriculture, technology and community well‑being. Their work advances what we know and creates practical solutions that help people in Missouri and beyond. Each new finding adds momentum to a long-standing tradition of curiosity, collaboration and service that defines our mission. In recognition of those contributions, the American Association for the Advancement of Science (AAAS) has named three Mizzou researchers 2025 AAAS Fellows.

A new study from the Italian Institute of Technology (IIT), in collaboration with Uppsala University (Sweden) and AstraZeneca, shows how computational chemistry and supercomputers can help scientists better understand the fundamental mechanisms of life, specifically those of human cells. This research was conducted by the Molecular Modeling and Drug Discovery Unit, led by Marco De Vivo at IIT in Genoa, and was published in the scientific journal Proceedings of the National Academy of Sciences (PNAS). The study focused on splicing, an essential process that enables cells to read genes and function properly, by simulating the functional dynamics of a very large and realistic model system (~2 million atoms). The results provide a more precise understanding of splicing and help explain previously difficult-to-interpret data on splicing. This research could support the development of molecules capable of controlling this process, paving the way for new treatments for diseases such as cancer and neurodegenerative disorders

Researchers have developed an AI tool that can help determine whether unfamiliar bacteria carry genetic features linked to disease. By enabling the detection of harmful bacteria before they infect humans, this could transform pandemic preparedness. Researchers have developed an AI tool that can help determine whether unfamiliar bacteria carry genetic features linked to disease. By enabling the detection of harmful bacteria before they infect humans, this could transform pandemic preparedness.

Volume 37 of SLAS Technology includes one technical brief, four original research articles, two literature highlights, and four entries from the Special Issue on Revolutionizing Transcriptomics from Single-Cell Insights to RNA-Based Interventions. Volume 37 of SLAS Technology includes one technical brief, four original research articles, two literature highlights, and four entries from the Special Issue on Revolutionizing Transcriptomics from Single-Cell Insights to RNA-Based Interventions.