JHU Malone Center for Engineering in Healthcare

What to expect in AI in 2026 Mark Dredze, the director of the Johns Hopkins Data Science and AI Institute, discusses what’s next for AI and what policymakers should keep in mind over the next year.

Check out this Q&A about the future of #AI with CS professor and @hopkinsdsai.bsky.social director @mdredze.bsky.social:

Congratulations to @ananya-a-joshi.bsky.social on winning a
@aaai.org Deployed AI System Award for this work, which proposes a system that reduces alert fatigue in big-data decision making.

High-Speed Microscope Gives Instant Look Inside Living Tissue - Johns Hopkins Whiting School of Engineering Developed by Johns Hopkins engineers, the new microscope provides unprecedented, real-time views of living tissue to accelerate patient care and medical research.

In @optica.org: "Back-Illumination Tomography" from Assoc Prof of Biomedical Engineering Nick Durr introduces a fast, label-free microscope that images unprocessed tissue and flowing blood cells in vivo, without dyes, stains, or slicing. engineering.jhu.edu/news/high-sp...

Alexis Battle appointed Wu and Zhang Professor Battle specializes in unlocking secrets of the human genome, using machine learning to analyze large-scale genomic sequencing data to understand the impact of genetic variation on the human body.

Congratulations, @alexisbattle.bsky.social!

High-speed microscope gives instant look inside living tissue Developed by Johns Hopkins engineers, the new microscope provides unprecedented, real-time views of living tissue to accelerate patient care and medical research.

A team of scientists, including @jhu.edu engineers and clinicians, has unveiled a high-speed microscope that delivers unprecedented views of living tissues and flowing blood cells without using any dyes.

“We’re at a pivotal time. The provider shortage is ever increasing and we need to find new ways to provide more and better opportunities for practice.” — John C. Malone Associate Professor of Computer Science @mathias-unberath.bsky.social

Featuring John C. Malone Associate Professor of Electrical and Computer Engineering Muyinatu A. Lediju Bell:

Axel Krieger installed as Carol Croft Linde Faculty Scholar The five-year appointment recognizes outstanding junior faculty for their scholarship, research, and entrepreneurial thinking.

Congratulations, Prof. Krieger!

As #AI transforms nearly every sector, two @jhu.edu experts—including John C. Malone Associate Professor of Computer Science Suchi Saria—outline guiding principles for its use in medical care so that it can truly benefit physicians and patients. Read the commentary on @natmed.nature.com:

New tech reduces false positives from breast ultrasounds An advance by Johns Hopkins researchers could spare patients unnecessary follow-up exams and procedures.

New ultrasound technology developed at @jhu.edu can distinguish fluid from solid breast masses with near-perfect accuracy—an advance that could save patients, especially those with dense breast tissue, from unnecessary follow-up exams, painful procedures, and anxiety.

Malone Fellows Program

🚨 1 week left to apply for the Malone Fellows Program—a unique, named, and funded postdoctoral opportunity at the intersection of engineering and medicine. ⚙️ 🩺 Learn more and apply here:

New AI could teach the next generation of surgeons Doctors too busy? AI offers med students real-time expert feedback.

Developed by John C. Malone Associate Professor of Computer Science @mathias-unberath.bsky.social and team, a new #AI tool, trained on videos of expert surgeons at work, offers students real-time personalized advice as they practice suturing.

Featuring the Malone Center’s Craig Jones (@imagingai.bsky.social), @harissair.bsky.social, and more:

AAAI-26 Tutorial and Lab List - AAAI AAAI-26 Tutorial and Lab Forum Sponsored by the Association for the Advancement of Artificial IntelligenceJanuary 20-21, 2026 | Singapore EXPO | Singapore Half Day Tutorials TH01: A Decade of Sparse T...

And finally, Joshi, @guaguakai.bsky.social, @umich.edu’s Alexander Rodríguez, and Aparna Taneja will provide a comprehensive, end-to-end guide to the application of generative AI across healthcare in their tutorial, “Generative AI in Healthcare: Causality, Decision, and Real-world Case Study”: (6/6)

In “Auditing Generative AI Benchmarks with a Multi-Agent Compliance System,” Joshi and Rudow introduce a system for converting any compliance workflow into a human-in-the-loop, multi-agent framework, mapping process roles to specialized agents. (5/6)

With Michael Rudow, Joshi introduces a multi-agent system design formalized as a bounded-horizon, directed, acyclic Markov Decision Process in “Constrained Process Maps for Multi-Agent Generative AI Workflows,” accepted to the Foundations of Agentic Systems Theory Workshop. (4/6)

Decomposing Theory of Mind: How Emotional Processing Mediates ToM Abilities in LLMs Recent work shows activation steering substantially improves language models' Theory of Mind (ToM) (Bortoletto et al. 2024), yet the mechanisms of what changes occur internally that leads to different...

In “Decomposing Theory of Mind: How Emotional Processing Mediates ToM Abilities in LLMs,” Joshi and Ivan Chulo propose decomposing theory of mind in large language models by comparing steered versus baseline LLMs’ activations using linear probes trained on 45 cognitive actions: (3/6)

An AI-Based Public Health Data Monitoring System Public health experts need scalable approaches to monitor large volumes of health data (e.g., cases, hospitalizations, deaths) for outbreaks or data quality issues. Traditional alert-based monitoring ...

Joshi and @cmu.edu researchers including @brwilder.bsky.social propose a ranking-based monitoring paradigm that leverages new #AI anomaly detection methods in “An AI-Based Public Health Data Monitoring System”: (2/6)

40th Annual AAAI Conference on Artificial Intelligence logo.

With @aaai.org’s #AAAI2026 just around the corner, we’re highlighting the new research that Malone Center affiliate @ananya-a-joshi.bsky.social will be presenting next week in this thread. 🧵 (1/6)

Alexis Battle standing with her arm propped on a whiteboard with equations and figures written on it.

A group shot of Bohan Ni holding a coffee cup, Alexis Battle, Rebecca Keener, and Graydon Moorhead.

Alexis Battle in front of a whiteboard with a complex formula on it, holding a dry-erase marker and speaking to someone in the foreground.

With her expertise in machine learning, Malone Center director @alexisbattle.bsky.social is working to sift through vast amounts of genetic and clinical data, revealing hidden patterns that can inform treatment strategies and improve patient care. Learn more: malonecenter.jhu.edu/ai-decoder-u...

My lab is recruiting postdocs in AI/ML for genetics & genomics through the Malone Postdoctoral Fellows program. Apply by Jan 30! Lots of other great labs across the Malone Center as well.

Announcing the 2025 Malone symposium poster session awardees The two poster sessions featured the latest in healthcare engineering research, with prizes going to the top three presentations in each session.

Congratulations to the six groups who took home awards for their posters at our 2025 symposium! Learn more about their winning research here:

Chien-Ming Huang promoted to John C. Malone Associate Professor of Computer Science.

Congratulations!

A thumbtack approaches silver balloons that spell AI.

A talk given at our 2025 symposium was featured by @forbes.com! Read the article here: www.forbes.com/sites/demetr... and watch the recordings of the full-day event on our website: malonecenter.jhu.edu/2025-symposi...

Malone Fellows Program

The Malone Fellows Program provides a unique postdoctoral training experience, offering researchers from relevant disciplines the opportunity to play a defined role in the center’s research mission. Apply by January 31 here:

Progress in Action - Johns Hopkins Engineering Magazine The Data Science and AI Institute unites experts across disciplines to leverage the opportunities of accessible AI.

In the Magazine: Progress in Action! The latest updates on our Data Science and AI Institute, including @mdredze.bsky.social being named Executive Director, faculty hiring updates, and building timeline. engineering.jhu.edu/magazine/int...

Digital twins for the win Johns Hopkins researchers are exploring the use of digital twins to improve surgical workflows.

Led by John C. Malone Associate Professor of Computer Science @mathias-unberath.bsky.social, Johns Hopkins researchers are advancing the science of surgery by using digital twins to refine new technologies without risking patient safety.

Fantastic talk by Hopkins Medicine's Peter Najjar at the @jhumceh.bsky.social symposium on Human + AI to redefine the standard of care in medicine.

What can AI do to improve quality and safety in medicine?

Loving the “Pitch a problem” session at the Johns Hopkins Symposium on Engineering in Healthcare. Lots of animated conversations! @jhumceh.bsky.social

Learn how @mikeschatz.bsky.social and other Hopkins scientists corrected 1000s of sequencing errors in the human genome, discovered over 100 new genes that can create proteins, and helped develop the advanced tools and programs that make sequencing faster and more accurate. #ResearchSavesLives