JHU Malone Center for Engineering in Healthcare
@JHUMCEH
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Catalyzing and accelerating the development of research-based innovations that advance the effectiveness and efficiency of healthcare. https://t.co/zrMq4VslIW
Baltimore, MD
Joined May 2018
Featuring Anton Deguet, an associate research engineer in the Malone Center:
Johns Hopkins roboticists—including alumni @JieYingWu and @wang_junxiang_—explore new ways of using @IntuitiveSurg’s da Vinci surgical system, from an open-source research kit to remote surgery improvements. Learn more:
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Join us on December 8 for “Human + AI: Redefining the Standard of Care in Medicine,” a @JohnsHopkins Research Symposium on Engineering in Healthcare. Register now at https://t.co/F9GPcNncGy
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Congratulations to Malone researchers Swaroop Vedula, @ShameemaSikder, @vishalm_patel, and Masaru Ishii on their $1.2 million @NSF grant, which will fund the development of #AI capable of giving surgeons expert feedback from videos of their performance:
malonecenter.jhu.edu
The National Institutes of Health awarded a Johns Hopkins team a four-year grant to develop AI capable of giving surgeons expert feedback based on videos of their performance.
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New research by @suchisaria and @MichaelOberst shows how #machinelearning methods can cut costs and save lives in clinical research. Learn how:
malonecenter.jhu.edu
New research shows how ML methods can cut costs and save lives in clinical research.
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🚨 Call for posters! 🚨 Submit your engineering healthcare research for our annual symposium. ✅ Submission form: https://t.co/vn3J7xBsoL 🗓️ Deadline: November 10, 2025 @ 11:59 p.m. Learn more about the symposium: https://t.co/ddPM1iRdoW
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Congratulations again to John C. Malone Professor of Computer Science @mdredze on this accomplishment!
malonecenter.jhu.edu
Dredze, a member of JHU’s faculty since 2009, has been selected to lead the university institute dedicated to harnessing the power of AI to translate data-driven discovery into real-world impact.
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Mark Dredze (@mdredze) has been named inaugural director of our Data Science and AI Institute. A member of the @JHUCompSci faculty since '09, he is a pioneer in the application of AI for language analysis to public health and medicine.
engineering.jhu.edu
Dredze, a member of JHU's faculty since 2009, selected to lead institute dedicated to harnessing the power of artificial intelligence to translate data-driven discovery into real-world impact
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Mark Dredze (@mdredze) has been named inaugural director of the Data Science and AI Institute (@HopkinsDSAI). A member of the @JHUCompSci faculty since '09, he is a pioneer in the application of AI for language analysis to public health and medicine.
hub.jhu.edu
Pioneering computer scientist named director of institute dedicated to harnessing the power of AI to translate data-driven discovery into real-world impact
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We’re pleased to announce that John C. Malone Professor of Computer Science Mark Dredze (@mdredze) has been named the inaugural director of the @JohnsHopkins Data Science and AI Institute (@HopkinsDSAI). Learn more here: https://t.co/UBmrOd3yil
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Save the date! 🗓️ This year’s @JohnsHopkins Research Symposium on Engineering in Healthcare, “Human + #AI: Redefining the Standard of Care in Medicine,” will take place on Monday, December 8. ❄️ Learn more at https://t.co/ddPM1iQFzo
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Johns Hopkins researchers at the Malone Center have created a new kind of voice assistant to help older adults manage their health. Learn more:
malonecenter.jhu.edu
Johns Hopkins researchers have created a new kind of voice assistant to help older adults manage their health.
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Excited to be a partner in the first scalable federated learning platform for cancer research: "CAIA will enable unprecedented exploration of AI models for cancer patient data, through a privacy-aware technical framework and a collaborative research alliance."—@alexisjbattle
We're grateful for the leaders who champion this work. This video showcases the immense breadth of our alliance, bringing together the cancer center and technology leaders who back CAIA's mission to improves clinical outcomes for cancer patients everywhere.
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Congratulations to Malone Center member Christopher G. Chute, who has been chosen to receive the @AMIAinformatics’ Morris F. Collen Award of Excellence. Learn more here: https://t.co/UawJlpTdih
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Featuring John C. Malone Associate Professor of Computer Science @MathiasUnberath and Malone Center member Axel Krieger:
At our Data Science and AI Institute’s (@HopkinsDSAI) fall symposium, researchers showcased how artificial intelligence is being applied to urgent challenges in health care and beyond. Read the full story: https://t.co/0ouqKKgejs
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Robot-assisted surgery, an app for diagnosing strep throat, and a new tool to detect glaucoma are all on the health care horizon thanks to @JohnsHopkins #AI innovators like the Malone Center’s @MathiasUnberath and Axel Krieger:
malonecenter.jhu.edu
Robot-assisted surgery, an app for diagnosing strep throat, and a new tool to detect glaucoma are all on the health care horizon thanks to artificial intelligence innovators at the Johns Hopkins...
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Congratulations the team on their Best Paper Award Runner-Up Award for this work!
We are excited to introduce R-Super (Report Supervision), a new AI training method that learns tumor segmentation from radiology reports. This work has been short-listed for #MICCAI2025 Best Paper and Young Scientist Awards. @MICCAI_Society If you are in Korea, please visit
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In work appearing at @MICCAI_Society this week, JHU researchers including the Malone Center’s @Zongwei_Zhou demonstrate a new method that uses existing radiology reports to train #AI models to locate tumors on CT scans. Learn more:
malonecenter.jhu.edu
Johns Hopkins researchers have developed a new method that uses existing radiology reports to train AI models to locate tumors on CT scans more quickly and accurately.
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Congratulations to BDP Christopher Chute for receiving the prestigious Morris F. Collen Award of Excellence from @AIMAinformatics. A well-deserved honor for extraordinary contributions to biomedical informatics. https://t.co/mmMNXkDZtx
amia.org
WASHINGTON, DC –
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Amazing work involving @coverbytaylor:
Johns Hopkins researchers developed an AI model that uses routine ECG data to strongly predict which patients are likely to suffer serious complications after surgery. The AI model significantly outperformed risk scores currently used by doctors.
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Our pioneering partnership with leading cancer centers and tech companies has been recognized by TIME magazine’s #TIME100AI 2025 for groundbreaking work in artificial intelligence and cancer research!
Thrilled to see the Cancer AI Alliance included on TIME's list of the TIME100 AI of 2025! We're proud to be recognized for our mission to accelerate cancer research and treatment. Read more about our achievement here: https://t.co/LdqvgAbSBx
#time100ai
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