In: Precision Medicine

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Suchi Saria.

A trailblazing researcher describes her path to AI and healthcare

A conversation with Johns C. Malone Associate Professor of Computer Science Suchi Saria, who is on a mission to augment human care with the latest in AI and machine learning technology.

CAIA researchers, from left, Vasan Yegnasubramanian, Rafael Irrizary, Alexis Battle, Jeff Leek, Sohrab Shah, and Brian Bot.

Johns Hopkins researchers launch projects under Cancer AI Alliance

The researchers are using AI to predict outcomes, individualize treatment, and protect patient privacy, transforming how cancer is understood and treated.

Seed grant awards. Johns Hopkins Malone Center for Engineering in Healthcare. Overlaid over Malone Hall.

First round of 2025 Malone Seed Grant Awards announced

Six grants were awarded in partnership with the School of Nursing and the Department of Surgery, as well as in precision medicine.

Suchi Saria poses with a laptop displaying the TREWS dashboard.

Sepsis detection platform prevents thousands of deaths

National Science Foundation funding helped Suchi Saria develop and launch a lifesaving early warning system that uses artificial intelligence to catch sepsis infections before they become deadly.

Illustration of people in lab coats working with an artificial brain and a robot.

Delivering on the promise of personalized medicine

Harnessing advances in data science and AI, Whiting School researchers are working closely with clinicians to improve care for a broad array of debilitating conditions.

Images of the (b) monopolar electrosurgical instrument; (c) vacuum grasping instrument; (d) dual-camera vision system, sample holder, grounding pad, smoke evacuation tube, linear motion stage; and (e) simulated clinical setting featuring a porcine tongue specimen stretched using retraction sutures. The close views during the (f) surface incision and (g) deep margin dissection for a pseudotumor on a porcine tongue tissue.

Robotic surgeon precisely removes cancerous tumors

The Autonomous System for Tumor Resection, designed by a team of Johns Hopkins researchers, can remove tumors from the tongue with accuracy rivaling—or even potentially exceeding—that of human surgeons.