Physician bias against overweight and obese patients is not only prevalent in today’s medical landscape, according to an analysis published in JAMA Feb. 20—it could also be overshadowing quality care and driving some of those patients further from the doctor’s office.

The American Heart Association and Verily, Alphabet’s life sciences and healthcare arm, have joined forces to promote a new initiative called Research Goes Red—an attempt to engage more women in cardiovascular research—the AHA announced Feb. 26.

Researchers at the University of Alberta have developed a new AI-based software––Ensemble Algorithm with Multiple Parcellations for Schizophrenia Prediction, or EMPaSchiz––that will allow physicians to identify schizophrenia in fMRI scans with 87 percent accuracy. Their research was published in NJP Schizophrenia.

Dana Solutions, a California-based AI company, is partnering with the FDA’s Center for Drug Evaluation and Research to improve the drug development process by using AI, the company announced Feb. 25.

Two more surveys have been released showing burnout affects nearly half of physicians. But at this point, some are getting frustrated with the inability to move beyond awareness and toward meaningful improvement.

Julia Graspa, MD, PhD, will oversee the JACC: Case Reports publication, which will start in June, while Bonnie Ky, MD, will be editor-in-chief JACC: CardioOncology when it launches in September. They are the first two women to be editors-in-chief of a JACC journal.

A new machine learning model allows for physicians to determine whether atypical ductal hyperplasia (ADH) could upgrade to cancer, according to new research published in JCO Clinical Cancer Informatics. The model can identify 98 percent of all malignant cases prior to surgery, while sparing 16 percent of women from unnecessary surgeries. 

Niramai Health Analytix, an AI-based diagnostic company, has raised $6 million in funding for its tool that leverages AI to screen for early stage breast cancer.