New AI Machine Learning Model Improves Detection of Lung Disease in Newborns
A team from the University of Rochester has developed a time-series AI machine learning model that better predicts the lung disease Bronchopulmonary Dysplasia (BPD) in newborns than current tools.
Researchers Have Free Access to Secure Clinical Data Thanks to ISD-UR CTSI Collaboration
Accessing electronic medical record data in a safe, secure, and timely manner is critical for clinical researchers. Here at the University of Rochester, researchers access and analyze such protected health information (PHI) through the Secure Environment for Research Data Analytics (SERDA), an analysis, data storage, and routine backup platform developed and administered by the Information Systems Division (ISD) and the UR Clinical and Translational Science Institute (CTSI) Informatics and Analytics team. Best of all, it is free to use.