Thu, Feb 17, 2022 11:00 AM – 12:00 PM EST Register >> Exacerbated by the pandemic, Mental Health disorder prevalence continues to rise. The growing unmet need is driving a renewed interest in research and development programs. Yet, the complexities of these neurological conditions continue to present challenges. Deep clinical data can offer insights into[…]
Tue, Jan 25, 2022 12:30 PM – 1:30 PM EST Presenter: Rich Gliklich, CEO, OM1 Register >> Real-World Data (RWD) and Artificial Intelligence (AI) applications are rapidly growing in importance in R&D for Chronic and Immune-mediated Diseases. Join us as we explore: Data Networks The ‘Unstructured’ Medical Record Hybrid Data Collection Data Linkage Artificial Intelligence[…]
Wed, Nov 17, 2021 11:00 AM – 12:00 PM EST Presenter: Dr. Joseph Zabinski, Senior Director of Data Solutions, OM1 Register >> Artificial Intelligence (AI) technology is increasingly being used for accelerating and optimizing clinical development. Yet, understanding useful implementation and its real-world impact remain challenging. Join this webinar to explore: Real-world applications for AI[…]
April 2, 2021 – Austin American-Statesman Read the Full Article >> If you had osteoarthritis in your knee, how would you know when it’s the right time to have knee replacement surgery? Dell Medical School at the University of Texas helped patients at UT Health Austin’s Musculoskeletal Institute answer that question by studying a new artificial intelligence tool[…]
BMJ Journals Published: May 20, 2021 Read the Full Manuscript >> Objective Use of the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) in routine clinical practice is inconsistent, and availability of clinician-recorded SLEDAI scores in real-world datasets is limited. This study aimed to validate a machine learning model to estimate SLEDAI score categories using clinical notes[…]
