When a medical device is recalled, the “why,” in the most general terms, is obvious—something is defective. But new research further examines what goes into recall decisions, finding product managers often rely on physicians to find problems with devices. Additionally, device suppliers can be less likely to issue a recall until the cause of the defect is discovered, which can reduce recall costs.

A research team was able to successfully attack a patient monitoring system to emulate and modify vital signs in real-time. 

A research team at University of Sydney's Save Sight Institute in Australia was recently awarded a $1.1 million grant for a biopen that treats eye wounds. 

MIT researchers are using an artificial intelligence (AI) model that would help determine the correct drug dosage and, in turn, reduce debilitating side effects for brain cancer patients.

For about a decade, scientists have struggled to find an inexpensive, practical alternative to microfluidic probes. Following an experiment by a New York University research team, a new avenue may available to researchers.

Predicting epileptic seizures is closer to becoming a reality, thanks to the crowdsourcing of thousands of algorithms worldwide. According to a study by University of Melbourne researchers, clinically relevant seizure predictions are now possible after researchers collected more than 10,000 algorithms during a contest in 2016.

As machine learning in dermatology begins to take off, researchers should remember to include all skin types when developing algorithms for identifying skin cancer, according to an Aug. 1 viewpoint published in JAMA.

Scientists have discovered a new type of cell—one that could radically change how researchers see cystic fibrosis. As part of a cellular mapping project, scientists identified a rare cell type that could affect rehydration and pH balance, which are integral to those with cystic fibrosis.

New York’s Icahn School of Medicine at Mount Sinai, along with the Institute for Next Generation Healthcare, announced the opening of the Center of Biomedical Blockchain Research on Tuesday, July 24.

HIPAA—passed 22 years ago to improve information security, control costs and reduce administrative burdens—faces daily challenges with increasing cybersecurity attacks and data breaches. But what about personal information that is not covered by this law? A physician can’t tell an advertiser about someone’s diabetes, for example—but what about social media posts, credit card purchases and publicly available information?

Researchers from Mayo Clinic have developed a method analyzing blood sugar levels to predict pancreatic cancer up to three years before diagnosis, according to a study published in Gastroenterology.

Researchers from Brigham and Women's Hospital in Boston have developed “surgery in a pill” to treat type 2 diabetes by lowering blood glucose levels after a meal. The newly developed approach was outlined in a study published June 11 in Nature Materials.