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A new approach to mapping the brain could make surgery safer

Doctoral student Naresh Nandakumar is developing a painless, non-invasive approach using functional magnetic resonance imaging, or fMRI, to locate the eloquent cortex.

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These Algorithms Look at X-Rays—and Somehow Detect Your Race, WIRED

Radiologist Paul Yi, a Malone Center faculty affiliate, was quoted in a WIRED article on a new study showing algorithms can detect race in medical images.

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Popular Deep Learning course goes beyond the fundamentals

In the popular “Machine Learning: Deep Learning" course created by Mathias Unberath, students team up to design, implement, and validate deep learning-based solutions to contemporary problems.

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Unlocking schizophrenia’s secrets

Engineering doctoral student Sayan Ghosal combines genetic and imaging data to develop better model of the mental illness.

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Engineering course teaches students to harness power of AI for good

Computer scientist Mathias Unberath teaches the fundamentals of artificial intelligence and ethical approaches to using the powerful technology.

The Johns Hopkins Hospital at dusk.

Clinicians use artificial intelligence to diagnose ear infections more accurately

OtoPhoto, the world’s first smart otoscope, takes images of the inner ear and uses machine learning to determine whether or not an infection exists.