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Alan Yuille and team demonstrated that an AI model trained solely on synthetic tumor data works as well as models trained on real tumors.

Preliminary results expected this summer on an urgent assessment of the country's bridges.

The center, anchored in the Institute for NanoBioTechnology, will speed the cycle of RNA innovation in pursuit of advanced therapies.

A Johns Hopkins-led team found that chatbots reinforce our biases, providing insight into how AI could widen the public divide on controversial issues.

Prototype could lead to advanced, non-invasive sensors to monitor disease biomarkers.

Surprising study finds schools of fish can make less noise than a solitary swimmer

The state emits more of the common pesticide sulfuryl fluoride than the rest of country combined, a Johns Hopkins study finds.

Hopkins engineers combine two automated alignment methods with a human annotator to provide best combination of accuracy and efficiency.

Utilizing a "corrector," Holden Lee is creating a greener approach to diffusion models.

Model developed by Hopkins engineers could guide treatment plans.

Applications range from movie production to robotic navigation systems

Benjamin Hobbs and Mahdi Mehrtash's analysis highlights benefits of strategic scarcity costs.