Bloomberg Philanthropies and Johns Hopkins University launch Mayors AI Forum at CityLab. The forum will bring together the world's most forward-thinking city leaders to demonstrate what responsible AI can do for people everywhere. Read more:
hub.jhu.edu/2026/04/28/b...
Register today for the next Sip & Solve: AI Lightning Talks with a Twist event. A fast-paced, engaging look at how Johns Hopkins faculty are using AI to transform nursing education, healthcare systems, and patient care.
Details and registration info: ai.jhu.edu/event/sip-so...
What an inspiring day at our Celebrating Women in Data Science and AI event! We were thrilled to welcome a full house for a feature talk, keynote address, two expert‑led panel discussions, and an engaging poster session highlighting innovative work from across our community.
Thank you to all the speakers, panelists, and attendees who helped make the event such a powerful celebration of talent and leadership in the field!
In @nejm.org: Computational medicine driving safer, more precise treatment for dangerous arrhythmias. Prof Natalia Trayanova's cardiac digital twins were used to guide ablation procedures in real patients. Most remained VT-free at ~1 year follow-up. engineering.jhu.edu/news/digital...
Government and military partners face challenges using sensitive or classified data with commercial large language models (LLMs). Johns Hopkins APL researchers built an LLM from the ground up, creating a capability that can help adapt models for mission-relevant domains. https://jhuapl.link/9a8
We are proud to again be recognized by our peer schools and programs as the #1 public health school in the nation, as reported by U.S. News & World Report. The Bloomberg School is grateful to partner closely with our peers on our shared commitment to improving health for people everywhere.
Welcome internationally recognized neuroscientist, Ilya Monosov, who joins @jhu.edu as the Bloomberg Distinguished Professor of Curiosity and Intelligence.
hub.jhu.edu/2026/04/03/n...
An early warning system for sepsis, one of the deadliest infections for hospital patients, has been approved for use by the @fda.gov. Developed by John C. Malone Associate Professor of Computer Science Suchi Saria, it’s one of the first AI-based medical tools to get this kind of clearance.
A major milestone for clinical AI and patient care at Johns Hopkins.
The @fda.gov has approved an AI-powered early warning system developed by Johns Hopkins researchers that can detect sepsis before clinicians may even suspect it. #ResearchSavesLives
hub.jhu.edu/2026/05/12/f...
The AI system detects deadly infections faster than doctors, saving thousands from a condition that claims more than 250,000 lives each year in the U.S.
