JHU Malone Center for Engineering in Healthcare
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JHU Malone Center for Engineering in Healthcare
@jhumceh.bsky.social
Our mission is to catalyze and accelerate the development of research-based innovations that advance the effectiveness and efficiency of healthcare. malonecenter.jhu.edu • Baltimore, Md • #JHUMCEH
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.
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.
malonecenter.jhu.edu
February 6, 2026 at 4:30 PM
“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
February 4, 2026 at 3:47 PM
Featuring John C. Malone Associate Professor of Electrical and Computer Engineering Muyinatu A. Lediju Bell:
New ultrasound technology developed by Johns Hopkins researchers improves accuracy in breast cancer imaging, correctly identifying masses 96% of the time. This federally funded work has the potential to reduce follow-up tests and unnecessary procedures for patients. https://bit.ly/4pCClFv
New tech reduces false positives from breast ultrasounds
Advance could spare patients unnecessary follow-up exams and procedures
bit.ly
February 3, 2026 at 4:05 PM
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:
Principles to guide clinical AI readiness and move from benchmarks to real-world evaluation - Nature Medicine
We propose straightforward principles to foster an evaluation-forward operating system that can transform the adoption of clinical artificial intelligence from a leap of faith into a stepwise, trust-b...
www.nature.com
January 29, 2026 at 4:56 PM
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.
New tech reduces false positives from breast ultrasounds
An advance by Johns Hopkins researchers could spare patients unnecessary follow-up exams and procedures.
malonecenter.jhu.edu
January 27, 2026 at 4:08 PM
🚨 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:
Malone Fellows Program
malonecenter.jhu.edu
January 26, 2026 at 3:46 PM
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.
New AI could teach the next generation of surgeons
Doctors too busy? AI offers med students real-time expert feedback.
malonecenter.jhu.edu
January 22, 2026 at 3:57 PM
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)
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...
aaai.org
January 15, 2026 at 5:24 PM
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)
January 15, 2026 at 5:24 PM
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)
January 15, 2026 at 5:24 PM
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)
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...
arxiv.org
January 15, 2026 at 5:24 PM
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)
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 ...
arxiv.org
January 15, 2026 at 5:24 PM
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)
January 15, 2026 at 5:24 PM
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...
January 14, 2026 at 5:14 PM
Reposted by JHU Malone Center for Engineering in Healthcare
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.
Looking for a postdoc opportunity in computational & engineering applications in medicine & health care? Apply to the Malone Fellows Program and work with mentors in genomics, AI/data science, robotics, human-computer interaction, augmented/virtual reality, & more.

Deadline coming up: Jan 31, 2025
Malone Fellows Program
malonecenter.jhu.edu
December 16, 2025 at 7:29 PM
Congratulations to the six groups who took home awards for their posters at our 2025 symposium! Learn more about their winning research here:
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.
malonecenter.jhu.edu
January 9, 2026 at 4:31 PM
Congratulations!
January 7, 2026 at 4:46 PM
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...
January 6, 2026 at 7:18 PM
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:
Malone Fellows Program
malonecenter.jhu.edu
January 2, 2026 at 3:51 PM
Reposted by JHU Malone Center for Engineering in Healthcare
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...
Progress in Action - Johns Hopkins Engineering Magazine
The Data Science and AI Institute unites experts across disciplines to leverage the opportunities of accessible AI.
engineering.jhu.edu
December 1, 2025 at 6:03 PM
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.
Digital twins for the win
Johns Hopkins researchers are exploring the use of digital twins to improve surgical workflows.
malonecenter.jhu.edu
December 22, 2025 at 5:44 PM
Reposted by JHU Malone Center for Engineering in Healthcare
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?
December 8, 2025 at 5:27 PM
Reposted by JHU Malone Center for Engineering in Healthcare
Loving the “Pitch a problem” session at the Johns Hopkins Symposium on Engineering in Healthcare. Lots of animated conversations! @jhumceh.bsky.social
December 8, 2025 at 3:32 PM