Johns Hopkins Medicine researchers publish clinical data for rapid diagnostic urine test to detect invasive aspergillosis
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Oct-2026 23:16 ET (22-Oct-2026 03:16 GMT/UTC)
Through long-standing research, which has been supported by the National Institutes of Health, investigators at Johns Hopkins Medicine have advanced insights into ways to better detect invasive aspergillosis (IA). Caused by mold, the infection is uncommon in the general population but can create significant health risks for people with underlying conditions that affect or weaken their immune system. Today, the researchers publish data in the journal Clinical Infectious Diseases that led to the FDA clearance of what is believed to be the first rapid urine-based assay to aid in the diagnosis of the condition.
The Brain & Behavior Research Foundation (BBRF) today announced the 2026 class of 180 Young Investigator grantees, providing more than $12.5 million in two-year funding to early-career scientists pursuing innovative basic, translational, and clinical research in brain and behavior disorders.
Despite sustained declines in overall cardiovascular disease mortality in the U.S., disparities based on race, ethnicity and place still persist, with mortality varying far more across counties than states, according to a county-by-cause-by-population analysis published in JACC, the flagship journal of the American College of Cardiology (ACC).
https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2026.0025
Announcing a new article publication for Cardiovascular Innovations and Applications.Biohub, the U.S. Department of Energy, the National Institutes of Health, and new funding partners today announced a major expansion of an international effort to generate and make accessible the data enabling predictive AI models of biology. Together, the organizations are investing $1.8 billion in funding, data, computation, and new measurement technology, the largest coordinated commitment to generating AI-ready biological data to date. The result will be an open resource for the research community that provides the foundation for greater understanding and ultimately treatment of human diseases.
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