Jackie Maupin | Dec 11, 2025 IU School of Medicine researchers have found better ways to predict which biologics will help children with severe asthma, reducing the risk of ineffective prescriptions. | Nadzeya - stock.adobe.com Indiana University School of Medicine researchers are taking a closer look at how young patients respond to biologic treatments for asthma. By analyzing clinical parameters and identifying which children are still likely to have severe asthma attacks d

John Erickson | Nov 10, 2025 Malaz Boustani and his team have discovered a quick, low-cost way for artificial intelligence to diagnose Alzheimer's Disease and related dementias. | Photo by Liz Kaye, Indiana University INDIANAPOLIS — Few primary care practices are designed for the timely detection of Alzheimer's disease and related dementias. The limited time that primary care clinicians are able to spend with patients, the need to focus on the health problems which brought th

Jackie Maupin | Nov 10, 2025 IU School of Medicine research finds a strong connection between poor sleep and the risk of severe asthma in boys with the disease. | Prostock-studio - stock.adobe.com INDIANAPOLIS — Indiana University School of Medicine researchers have identified a strong connection between poor sleep patterns and the severity of asthma in children with the lung disease. Their findings, recently published in Pediatric Allergy and Immunology, could help pediatric

Nov 6, 2025 Published in Pediatric Allergy and Immunology. Here is a link to the article. Regenstrief Institute author: Arthur H. Owora, PhD, MPH The content below has been provided by article authors Dr. Owora and Anuja Bandyopadhyay, M.D. Impact of asthma on sleep and associated risks About 30 to 40 percent of children with asthma experience sleep difficulties due to symptoms like coughing and wheezing. Poor sleep increases the risk of severe asthma exacerbations (attacks)

Jackie Maupin | Jun 11, 2025 IU School of Medicine researchers have identified a cheaper, more effective way to predict childhood asthma. | lordn - stock.adobe.com INDIANAPOLIS — Researchers at the Indiana University School of Medicine have developed a more accurate and cost-effective method to predict asthma diagnoses in children by using readily available electronic health records. This scalable approach could enhance early detection rates and help reduce the risk of asthma