News

The Johns Hopkins Sports Analytics Research Group’s innovations were among those featured at the inaugural World Changing Ideas Summit.

Teams co-led by Anqi “Angie” Liu and Tom Lippincott received seed funding to address a broad range of societal and humanitarian challenges through the use of data science and AI.

Researchers Alex Szalay and Janis Taube are pioneering the AstroPath platform, drawing on techniques from astronomy to meticulously map tumor-immune cell interactions in unprecedented detail.

Doctors too busy? AI offers med students real-time expert feedback.

Researchers in the Johns Hopkins Advanced Robotics and Computationally AugmenteD Environments Lab are exploring the use of digital twins to improve surgical workflows.

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

Hopkins researchers bring advanced 3D visualization techniques to neurosurgery.

Developed by a Johns Hopkins-led research team, the Pancreatic Tumor Segmentation Dataset may be the key for training AI models to detect pancreatic cancer early enough to make a difference in patients’ survival.

For more than half a century, Johns Hopkins has been a leader in converting federal support into tangible benefits for the American people—such as correcting maps of the human genome.

A conversation with Johns Hopkins computer scientist Suchi Saria, who is on a mission to augment human care with the latest in AI and machine learning technology.

A Johns Hopkins study reveals the strengths and pitfalls of incorporating chatbots into middle and high school classrooms as a “co-tutor.”

University roboticists explore future potential capabilities of global surgical robotics.