News

New research shows how ML methods can cut costs and save lives in clinical research.

SafeTraffic Copilot, created by Johns Hopkins team, aims to provide experts with crash analyses and predictions to reduce the rising number of fatalities and injuries that happen on U.S. roads each year

Using machine learning, Johns Hopkins researchers identified healthy and unhealthy patterns based on electrical activity

Johns Hopkins professor Kamal Choudhary has created a new AI tool for materials scientists, providing accurate answers to complex questions in the field.

Large-scale genome study finds scant evidence connecting microbes to most cancers.

New materials and a novel process developed by Johns Hopkins scientists could aid efforts to develop smaller, faster, and affordable microchips to power a range of modern electronic devices

Johns Hopkins team uses computer simulations to find the optimal level of disorder for light-manipulating devices.

The Hopkins team’s new, open-source software dramatically improves scientists’ ability to detect genetic modifications that control gene activity.

Partnership includes Johns Hopkins researchers developing AI-powered cancer care

Findings could lead to new treatments targeting how cancer cells adapt to mechanical stress.

Novel technique could lead to earlier disease detection, enhanced industrial process control, and better environmental surveillance

A new study finds multilingual AI often privileges dominant languages, reinforcing bias instead of breaking it