Wed, Aug 18, 2021 2:00 PM – 3:00 PM EDT Presenter: Richard Gliklich, MD, CEO, OM1 Register >> Automated, clinical ‘data networks’ are transforming the research paradigm. This webinar explores: – How do multi-purpose, ‘reusable’ data networks differ from the traditional research model, in particular for real-world evidence and patient registries? – How are data[…]
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[…]
Wed, May 18, 2021 11:00 AM – 12:00 PM EDT Register Artificial Intelligence (AI) is increasingly being applied to improve medical research and clinical practice. Join this panelist discussion exploring AI applications and high-performance predictive modeling for: – Improving research efficiency – Accelerating personalized treatment development – Supporting clinical decision making Presenters: – Prakash Jayakumar,[…]
Thu, Apr 29, 2021 11:30 AM – 12:30 PM EDT Register Real-world data is increasingly being used to develop external control arms for trial planning and regulatory submissions. Understanding the basics of what they are and how they can be used effectively are critical to success. Join Dr. Richard Gliklich, CEO of OM1, as he[…]
