Showing 6-10 of 55 webinars:
Improving Patient Outcomes: AI-Based Phenotyping for Diagnosis, Treatment, and Clinical Trials

Register to watch>> Join a panel of OM1’s clinical experts in cardiometabolic disease, immunology, and mental health as they explore how Artificial Intelligence (AI) can find phenotypic patterns and unlock insights hidden in real-world data. Extracting as much information as possible from real-world datasets is essential for understanding the complete patient journey. Subtle patterns in[…]

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[…]