News

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

The four-year R01 grant funds the development of an AI system to enhance the detection and monitoring of metastasis in colorectal cancer using patients’ CT scans.

Johns Hopkins scientists say a study that sequenced human cancers found far fewer microbial DNA sequences than earlier studies reported in the same cancer tissue samples.

Johns Hopkins researchers have created a new kind of voice assistant to help older adults manage their health.

Johns Hopkins researchers have developed a new method that uses existing radiology reports to train AI models to locate tumors on CT scans more quickly and accurately.

Johns Hopkins computer scientists release new findings and a specialized dataset for training robots to recognize specific object parts.

A new study from Johns Hopkins finds that multilingual AI privileges dominant languages, deepening divides rather than democratizing access to information.

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

New research ditches trial and error for faster, sharper, more trustworthy models.

Johns Hopkins computer scientists designed an interruption-handling system to facilitate more natural conversations with social robots.

Johns Hopkins computer scientists’ new training method, EigenLoRAx, promises to cut the environmental cost of fine-tuning large AI models.

New research provides first evidence of the use of browser fingerprints for online tracking.