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A circular puzzle depicting a young doctor attending to an older adult and a glowing brain. There are puzzle pieces missing, revealing other medical stock imagery.

New $20 million grant will help Johns Hopkins develop technologies for healthy aging

Multicenter collaboration will focus on the use of artificial intelligence to improve long-term health, independence for older people.

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

Announcing new Seed Grant Awards

The new grants will fund engineering innovations that aim to: introduce next generation assistive robots for children with autism spectrum disorder; advance shared-control strategies for skills assessment in robotic surgery; a develop artificial-intelligence based tools to evaluate therapies for vascular anomalies

Headshot of Joel Bader.

Joel Bader to serve as interim director of the Malone Center for Engineering in Healthcare

Bader will begin serving as the interim director for the Malone Center for Engineering in Healthcare on July 1.

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

Announcing 2021 Faculty Seed Grant Awards

The new grants will fund engineering innovations that aim to: identify pediatric patients at high risk of developing COVID-19 complications; understand and reduce bias in deep learning algorithms for radiology; and uncover mechanisms responsible for inequitable health outcomes for COVID-19.

Headshot of Muyinatu Bell.

Muyinatu “Bisi” Bell appointed the John C. Malone Assistant Professor

The John C. Malone Assistant Professorship was endowed through the generosity of John C. Malone ’64, ’69 to support outstanding Whiting School faculty members within the Malone Center for Engineering in Healthcare.

Headshot of Ayah Zirikly.

Scientist Spotlights: Ayah Zirikly 

A new research scientist with both the Center for Language and Speech Processing (CLSP) and Malone Center for Engineering in Healthcare, Zirikly builds AI-enabled models that analyze social media posts and word usage patterns to predict mental health disorders and symptoms.