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JHU Malone Center for Engineering in Healthcare

@jhumceh.bsky.social
106 followers 45 following 190 posts

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

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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 13h
Congratulations, Prof. Zhou!
malonecenter.jhu.edu
Zongwei Zhou awarded $2.4 million NIH grant
The four-year R01 grant will fund the development of AI algorithms capable of detecting three types of abdominal cancers on CT scans, enabling earlier diagnosis and treatment.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 09/10/2026
Featuring Malone Center members Axel Krieger and Rajat Mittal:
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 09/10/2026
“Right now people are auditing models but they don't really know what to audit for. We are changing that,” says senior author and John C. Malone Associate Professor of Computer Science @mathias-unberath.bsky.social.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 08/10/2026
#TBT to this @neuripsconf.bsky.social submission by @harissair.bsky.social and team—it has a great explanation of zero-shot vs. few-shot learning for clinicians who want to learn more about #AI training.
proceedings.neurips.cc
Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection
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Reposted by JHU Malone Center for Engineering in Healthcare
JHU Computer Science @jhucompsci.bsky.social · 30/09/2026
We are proud to share that Russell Taylor has been honored with a 2027 IEEE Technical Field Award, among IEEE’s highest honors. These awards recognize outstanding technical achievements and leadership advancing technology for humanity. Join us in celebrating Russ and the full 2027 class:
invt.io
Celebrate the 2027 IEEE Technical Field Award Honorees!
Learn More
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 06/10/2026
Featuring Malone Center members Axel Krieger, Jeremy D. Brown, @mathias-unberath.bsky.social, and Gregory D. Hager:
malonecenter.jhu.edu
Johns Hopkins engineers partner with industry to develop AI-powered robotic stroke treatment
Newly-funded teams will lead programs to develop autonomous robots to deliver curative stroke treatment.
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Reposted by JHU Malone Center for Engineering in Healthcare
Johns Hopkins University @jhu.edu · 28/09/2026
Join Dr. Ashani Weeraratna, Dr. Vasan Yegnasubramanian, and Dr. Siddhartha Mukherjee for a vital conversation with leading experts in clinical care, public health, and technology on Wednesday, October 14 | 6 p.m. Register: bit.ly/3Tnf67y
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 02/10/2026
Happy work anniversary! Laura Henneman celebrating 30 years at Johns Hopkins!
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 01/10/2026
Congratulations to John C. Malone Professor of Computer Science Russell H. Taylor on being selected for the 2027 @ieeeras.bsky.social IEEE Robotics and Automation Award!
malonecenter.jhu.edu
Russell Taylor to receive 2027 IEEE Robotics and Automation Award
Bestowed by the Institute of Electrical and Electronics Engineers, this prestigious award recognizes Taylor’s contributions to, leadership in, and translation of surgical and medical robotics.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 30/09/2026
Malone affiliate and @jhu-bdps.bsky.social @mikeschatz.bsky.social also contributed to this effort:
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 29/09/2026
“The models that drive precision medicine learn to infer clinical outcomes from the data they’re trained on. In many cases that works great, but it can also lead to interesting failures that aren’t immediately apparent,” says senior author @mathias-unberath.bsky.social.
malonecenter.jhu.edu
New tool detects hidden bias in medical AI
Created by a Johns Hopkins team in collaboration with the U.S. Food and Drug Administration, the work aims to improve the reliability of artificial intelligence in clinical settings.
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Reposted by JHU Malone Center for Engineering in Healthcare
JHU Computer Science @jhucompsci.bsky.social · 02/09/2026
Behind the scenes with Suchi Saria and @jaketapper.bsky.social! Watch the @cnn.com interview here: www.cnn.com/2026/08/26/h...
Suchi Saria and Jake Tapper sit in chairs facing each other under a camera setup.Suchi Saria and Jake Tapper sit in chairs facing each other under a camera setup, with monitors that read "Research Saves Lives" in the background.
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Reposted by JHU Malone Center for Engineering in Healthcare
Johns Hopkins University @jhu.edu · 27/08/2026
An AI-powered early warning system developed by Suchi Saria and her team at Johns Hopkins is now deployed in over 40 hospitals nationwide, detecting sepsis before clinicians may even suspect it. CNN's Jake Tapper featured the platform on the network's AI Friend or Foe series. cnn.it/4y5gD0A
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 23/09/2026
A team led by John C. Malone Associate Professor of Computer Science @mathias-unberath.bsky.social has built a tool to uncover hidden issues in the massive datasets used to train medical AI, searching for subtle patterns that could lead models to incorrect conclusions and jeopardize patient care.
hub.jhu.edu
New tool detects hidden bias in medical AI
Created by a Johns Hopkins team in collaboration with the FDA, the work aims to improve the reliability of artificial intelligence in clinical settings
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Reposted by JHU Malone Center for Engineering in Healthcare
Hammad Farooq @hammad-farooq.bsky.social · 28/08/2026
Excited to share that I recently joined @jhu.edu as a 2026 Malone Postdoctoral Fellow in Alexis Battle’s group! 🎉 I’m thankful to @jhumceh.bsky.social for this opportunity and excited to explore new research directions at the intersection of AI, biology, and human genetics.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 18/09/2026
Congratulations to John C. Malone Associate Professor of Computer Science Suchi Saria on being named to TIME’s TIME100 AI of 2026! #TIME100AI She was recognized as one of the 100 most influential people in AI for her work on a lifesaving sepsis detection tool: malonecenter.jhu.edu/creator-of-s...
TIME 100/AI 2026 border. Headshot of Suchi Saria.
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Reposted by JHU Malone Center for Engineering in Healthcare
JHU Computer Science @jhucompsci.bsky.social · 14/09/2026
Scientists including @aphillippy.bsky.social, @mikeschatz.bsky.social, & @stevensalzberg.bsky.social have reconstructed the complete genome of a real person, a breakthrough expected to advance research, improve the diagnosis of genetic diseases, & make personalized genomics routine in medical care.
hub.jhu.edu
Human genome milestone opens door for personalized genomics
The ability to quickly and affordably survey a patient's entire genome is expected to accelerate research, diagnostics, and precision medicine
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 14/09/2026
We’re excited to welcome Prof. Seenivasan as our newest Malone Center Faculty Fellow! Learn more about his work on developing advanced medical AI:
malonecenter.jhu.edu
Lalithkumar Seenivasan selected as Malone Center Faculty Fellow
The Malone Center Faculty Fellows program provides support for outstanding junior faculty to play an important role in advancing the Center’s research and educational mission.
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Reposted by JHU Malone Center for Engineering in Healthcare
Johns Hopkins University @jhu.edu · 28/08/2026
Congratulations to @jhucompsci.bsky.social Suchi Saria, who was named to the #TIME100AI list for her work on an #AI-powered #sepsis detection tool. The tool has been commercialized by Bayesian Health and has been shown to reduce mortality rates by 18%. hub.jhu.edu/2026/08/27/s...
hub.jhu.edu
Hopkins engineer Suchi Saria among TIME's 100 most influential people in AI
Creator of sepsis detection platform recognized for her work on commercialized tool that serves as lifesaving early warning system
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 09/09/2026
Notable discoveries advancing toward real-world applications include new ultrasound technology developed by @muyinatubell.bsky.social that can distinguish fluid-filled cysts from solid breast masses with near-perfect accuracy, sparing breast cancer patients unnecessary biopsies and anxiety.
hub.jhu.edu
Johns Hopkins commercialization division generates $100M in revenue
Technology Ventures, the university's commercialization and entrepreneurship hub, steers research from the laboratory to the market
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 08/09/2026
In the @jhu.edu Magazine: John C. Malone Associate Professor of Mechanical Engineering Jeremy D. Brown predicts that, by 2076, we’ll finally make sense of sensation, unlocking new ways for humans to interact with machinery and digital tools. Read the full story:
malonecenter.jhu.edu
What happens next?
Johns Hopkins researchers imagine what the world might look like in 2076, when the university celebrates its bicentennial.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 03/09/2026
Congratulations to @muyinatubell.bsky.social, Chien-Ming Huang, @ananya-a-joshi.bsky.social, Robert David Stevens, and @cotaylor.bsky.social on winning 2026 @jhu.edu Discovery Awards! Learn more about their proposed projects below:
malonecenter.jhu.edu
Malone faculty receive 2026 Johns Hopkins Discovery Awards
Winning projects—chosen from 324 proposals—will accelerate the research of 132 individuals from across the university.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 02/09/2026
Saria is a John C. Malone Associate Professor of Computer Science at @jhu.edu:
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 26/08/2026
“I think a prosthesis is one of the most intimate human robot interaction scenarios. You’re actually building the device that’s supposed to replace the biological counterpart,” said John C. Malone Associate Professor of Mechanical Engineering Jeremy Brown at a recent @jhu.edu/@fastcompany.com event.
malonecenter.jhu.edu
Prosthetic limbs of the future will be more lifelike, says Hopkins engineer
A joint Johns Hopkins and Fast Company event explores expert predictions about tech and healthcare.
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Reposted by JHU Malone Center for Engineering in Healthcare
Santa Fe Institute @sfiscience.bsky.social · 10/07/2026
Last fall, SFI's John Krakauer was named director of the Centre for Restorative Neurotechnology (CRN) at Lisbon's Champalimaud Foundation, a center he helped create. Krakauer has been connected to Champalimaud for more than a decade, first as a visiting scientist at its Centre for the Unknown.
santafe.edu
John Krakauer named director of Champalimaud's Centre for Restorative Neurotechnology
Last fall, SFI External Professor John Krakauer was named director of the Centre for Restorative Neurotechnology (CRN) — a center he helped create — at the Champalimaud Foundation in Lisbon. He takes ...
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JHU Computer Science @jhucompsci.bsky.social · 20/08/2026
"The models that drive precision medicine learn to infer clinical outcomes from the data they’re trained on. In many cases, that works great, but it can also lead to interesting failures that aren’t immediately apparent," says senior author @mathias-unberath.bsky.social.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 21/08/2026
“We’ve optimized the calculation of LDL cholesterol & made this equation accessible & easier for all labs to implement,” says sr. author Seth Martin. “Our goal is to enable clinicians & patients to make better decisions about starting treatments that prevent heart attacks & strokes, & save lives.”
malonecenter.jhu.edu
Machine learning method enables easier, wider use of Martin-Hopkins equation to accurately assess LDL cholesterol risk
A study finds that the new equation matches accuracy of the original and is available for laboratories to use at no cost through a transparent, single line of code.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 10/08/2026
Congratulations to Zongwei Zhou and team on this achievement!
malonecenter.jhu.edu
Zongwei Zhou receives IEEE Transactions on Medical Imaging Best Paper Award
The award recognizes his work on UNet++, now the most cited paper in the journal’s recent history and a standard tool in medical image analysis.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 07/08/2026
Hear from Malone Center members @mathias-unberath.bsky.social, @mdredze.bsky.social, and Masaru Ishii on how @jhu.edu is harnessing the power of #AI to develop robotic surgeons like “Sprite”:
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 06/08/2026
We’re pleased to announce our latest cohort of Malone Postdoctoral Fellows: @hammad-farooq.bsky.social and Fatima Sadjadpour! Learn more about these exception postdoctoral researchers’ past and upcoming work below:
malonecenter.jhu.edu
Welcoming the 2026 cohort of Malone Postdoctoral Fellows
Hammad Farooq and Fatima Sadjadpour comprise the latest cohort selected for the Malone Postdoctoral Fellows Program, which provides postdoctoral researchers with resources to support clinically-facing...
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 05/08/2026
Joshi will also present the tutorial “Generative AI in Healthcare: Temporal Data Analysis and Sequential Decision-Making” w/ @guaguakai.bsky.social & more, & co-organized epiDAMIK 2026, the Workshop on Data-driven Decision Making for Public and Population Health: epidamik.github.io/index.html (7/7)
epidamik.github.io
epiDAMIK Workshop
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 05/08/2026
and Joshi and Meghana Karnam use a statistically grounded system of multiple AI agents to make self-harm risk screening more reliable and reduce avoidable false alarms 🚨 in “Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM Systems”: (6/7)
arxiv.org
Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM Systems
Emerging AI systems in behavioral health and psychiatry use multi-step or multi-agent LLM pipelines for tasks like assessing self-harm risk and screening for depression. However, common evaluation app...
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 05/08/2026
In “Optimal Question Selection from a Large Question Bank for Clinical Field Recovery in Conversational Psychiatric Intake,” Joshi, Guan Gui, Peter Zandi, and Jacob Taylor help an AI choose the most useful next question ❓ in a psychiatric interview instead of asking everything: (5/7)
arxiv.org
Optimal Question Selection from a Large Question Bank for Clinical Field Recovery in Conversational Psychiatric Intake
Psychiatric intake is a sequential, high-stakes information-gathering process in which clinicians must decide what to ask, in what order, and how to interpret incomplete or ambiguous responses under l...
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 05/08/2026
Joshi, Shevya Panda, and Shinjini Bose develop a reliability audit that asks whether LLM-generated psychiatric risk scores stay stable when clinically irrelevant details are added in “Constrained Process Maps for Multi-Agent Generative AI Workflows” arxiv.org/abs/2604.22063 (4/7)
Workflow diagram. Synthetic Patient Dataframe n = 50 patients, 65 variables (5 trials per patient * 50 patient = 250 trials) -> Perturbation Levels. Prompt Perturbation: Neutral: control framing, Logical logos; casual, Human Impact: pathos; empathetic; Clinical-Judgement: ethos; expert. Feature Perturbation: Baseline = 15 Features, Baseline + 5 added features, Baseline + 5t added features, where t = Trial. Baseline + 10 Trials = 2,750/model. -> Gemini, Clauda, LLaMa, GPTG 4o -> LLM Scores Patient. risk score | variable weights | rationale. Aggregated Output parsed, checkpointed, and stored. * 16 Model x Prompt Combinations = 44,000 Simulations Total.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 05/08/2026
In “Ranking Anomalous Subsequences in Large Scale Streaming Data for Efficient Triage,” Joshi and @cmu.edu researchers including @brwilder.bsky.social incorporate targeted human feedback to more quickly identify relevant data sequences, 📈 not just single data points. (3/7)
Graph of Weekly Respiratory Illness Deaths, Worth County, GA. Y axis reads Deaths/100K. X axis reads, Dec ’24, Jan ’25. A highlighted high area is labeled "9 alerts corresponding to one sequence."
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 05/08/2026
Joshi and Rhea Makkuni explore #AI methods that could eventually improve 🏥 resource allocations in “Context-Aware Hospitalization Forecasting Evaluations for Decision Support using LLMs”: arxiv.org/abs/2604.23949 (2/7)
Diagram. Rolling Inputs (t-7:t) Raw Leading Indicators (ICU, Search, Ventilators) Pennsylvania (USA) Department of Health Weekly Hospitalization Data -> HybridARX. Stage 1: LLMs transform leading indicators into de-noised real-time data predictions (nowcasts). Stage 2: Model Trained Using Outputs.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 05/08/2026
Interested in data mining, data science, and analytics? Learn about the research that Malone Center affiliate member @ananya-a-joshi.bsky.social and team will be presenting at #KDD2026 next week—a 🧵 (1/7)
KDD 2026. August 9–13, 2026. Jeju, Korea.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 04/08/2026
Featuring John C. Malone Professor of Neurology, Neuroscience, & Physical Medicine and Rehabilitation John Krakauer:
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 03/08/2026
AI’s tendency to appear agreeable can lead it to pose as a therapist, validate harmful thoughts expressed by distressed users, and—perhaps most infamously—help draft suicide notes.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 29/07/2026
A tool developed by @slzeger.bsky.social and team has improved patients and physicians’ ability to make medical decisions and better understand #scleroderma:
malonecenter.jhu.edu
Dashboard aids healthcare decisions for people with skin disease
The web app displays data about their condition, alerting patients and physicians to problems or improvements.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 28/07/2026
See what Malone Center faculty including @kathy-mcdonald.bsky.social are doing with their awards: malonecenter.jhu.edu/malone-cente...
malonecenter.jhu.edu
Malone Center members receive 2026 Johns Hopkins Nexus Awards
The Nexus Awards Program supports a diverse range of programming, research, and teaching activities at the Hopkins Bloomberg Center.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 28/07/2026
John C. Malone Associate Professor Suchi Saria is improving outcomes for sepsis patients w/ an AI tool that helps drs diagnose the condition nearly 2 hours earlier than traditional methods. Read more in the @hopkinsengineer.bsky.social mag: engineering.jhu.edu/magazine/his... #ResearchSavesLives
engineering.jhu.edu
150 Years of Innovation - Johns Hopkins Engineering Magazine
Highlighting Johns Hopkins Engineering’s enduring impact as we celebrate JHU’s sesquicentennial
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 22/07/2026
In the @hopkinsengineer.bsky.social magazine: Malone Center affiliate Nicholas Durr has developed a new microscopy method that produces real-time, high-resolution images of living tissue and flowing blood cells—opening a potential path toward faster diagnoses and fewer invasive biopsies.
engineering.jhu.edu
Bye-Bye Biopsies - Johns Hopkins Engineering Magazine
Engineers have developed a microscopy method for faster diagnoses and fewer invasive biopsies.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 21/07/2026
Congratulations to Malone Center members Anton Dahbura, Ayes P. Gurses, Ahmed Hasson, and @kathy-mcdonald.bsky.social on their 2026 @jhu.edu Nexus Awards! Learn more about their proposed programming activities at the Johns Hopkins University Bloomberg Center below:
malonecenter.jhu.edu
Malone Center members receive 2026 Johns Hopkins Nexus Awards
The Nexus Awards Program supports a diverse range of programming, research, and teaching activities at the Hopkins Bloomberg Center.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 20/07/2026
“Ultimately, we can only produce outcomes when clinicians trust the system and act on it,” says Bayesian Health founder and John C. Malone Associate Professor of Computer Science Suchi Saria. “You can think of the FDA as a very meaningful and critical level for building trust.”
healthcare-brew.com
Bayesian Health gets FDA clearance for sepsis monitor
Sepsis is the third leading cause of death in US hospitals.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 17/07/2026
Last month, Malone Center faculty like @moberst.bsky.social, @ananya-a-joshi.bsky.social, & more shared their progress & concerns at the 1st in-person convening of the @jhu.edu Workgroup on AI & Healthcare, co-hosted by @hopkinsdsai.bsky.social. Learn more here: malonecenter.jhu.edu/hopkins-rese...
Chien-Ming Huang presents to an audience in front of a TV screen with three bar graphs that reads "Conversational sleep diary: Capturing richer context."Michael Oberst holds a clicker and presents from behind a Johns Hopkins University-branded lectern as audience members take pictures of him with their phones.Ananya Joshi gestures emphatically behind a lectern in front of an audience.Harold P. Lehmann converses with a Johns Hopkins affiliate wearing a backpack in front of a vertical Hopkins Business of Health Initiative banner.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 15/07/2026
In the @hopkinsengineer.bsky.social magazine: Learn how John C. Malone Associate Professor of Electrical and Computer Engineering @muyinatubell.bsky.social and team are improving women’s health ♀️ with new medical imaging technologies.
engineering.jhu.edu
Reliable Imaging for Clinical Impact  - Johns Hopkins Engineering Magazine
Projects address shortcomings of ultrasound in detecting breast cancer.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 14/07/2026
In the @hopkinsengineer.bsky.social mag: “Although current AI isn’t yet ready for population-wide screening, if we use imaging biomarkers, clinical notes, and deep neural networks to select high-risk patients, we can transform a blunt screener into a precision detection tool,” says Zongwei Zhou.
engineering.jhu.edu
Accelerating Pancreatic Cancer Detection - Johns Hopkins Engineering Magazine
Hopkins researchers have developed a database aimed at leveraging artificial intelligence to spot pancreatic cancer earlier, when it is potentially treatable.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 13/07/2026
“Receiving this award is both a profound honor and a vital call to action; as AI fundamentally reshapes the clinical landscape, our focus must remain resolutely on the patient,” says Hassoon.
malonecenter.jhu.edu
Ahmed Hassoon named NAM Scholar in Diagnostic Excellence
Hassoon is one of 10 individuals selected by the National Academy of Medicine for its 2026 class of scholars.
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JHU Malone Center for Engineering in Healthcare @jhumceh.bsky.social · 10/07/2026
In the @hopkinsengineer.bsky.social magazine: “This scientific void we’re trying to fill on microbial diversity could only be accomplished through this network of scientists and students,” says lead author @jhu-bdps.bsky.social @mikeschatz.bsky.social.
engineering.jhu.edu
Mobilizing to Map the U.S. Soil Microbiome - Johns Hopkins Engineering Magazine
A team including Hopkins geneticists and students has already discovered more than 1,000 new strains of bacteria and microbes.
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