Showing 6-10 of 54 webinars:
Using AI to Expand Treatment Access and Close Guideline Gaps

Tue, Jun 20, 2023 11:00 AM – 12:00 PM EDT Presenters: Costas Boussios, Chief Data Scientist and Joseph Zabinski, Managing Director of AI & Personalized Medicine Register>> Across many conditions, screening for diagnosis and use of effective therapies remain far behind where best-practice clinical guidelines would suggest. Patients falling into this ‘guidelines gap’ may not[…]

Using Real-World Data to Accelerate the Treatment and Understanding of Lupus

Webinar Date: Thursday, May 25th Webinar Time: 11am ET Register here Webinar Overview: Lupus is a chronic autoimmune disease affecting 1.5M Americans that can cause pain and inflammation anywhere within the body. 90% of people living with lupus are female and 16,000 new cases are diagnosed each year in the US. Although there are several[…]

Integrated Real-World Evidence Generation for Regulatory and Other Research

Wed, Apr 26, 2023 11:00 AM – 12:00 PM EDT Register >> Presenter: Rich Gliklich, CEO, OM1   Accessing and processing complex and disparate real-world data (RWD) for regulatory and non-regulatory research needs is costly for sponsors and burdensome for providers. Join this webinar to explore an automated, flexible platform approach to prospective research that[…]

Using Real-World Data & AI to Phenotype HFpEF Patients & Advance Heart Failure Research

Webinar Date: Tuesday, March 28th from 2:00-3:00pm ET Presented by Dr. Gary Curhan, CMO Register here Recent studies have shown that HFpEF comprises half of all heart failure cases. The prevalence of HFpEF has increased over the last 2 decades, associated with an aging population and increasing prevalence of risk factors, such as hypertension and[…]

Getting the Most out of Structured and Unstructured Real-World Data for Evidence Generation

Tue, Feb 21, 2023 2:00 PM – 3:00 PM EST Presenters: Jessica Paulus, ScD, VP of Research, OM1 and Anna Swenson, Senior Epidemiologist, OM1 Register >>  Structured data, what’s found in an electronic medical record or claims, and unstructured data, what’s found in clinician notes, provide valuable insights into treatment effectiveness and safety, gaps in[…]