Showing 1-5 of 46 webinars:
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[…]

Using AI to Accelerate Diagnosis and Treatment

In this episode of the Medical Affairs Professional Society (MAPS) podcast ELEVATE, Joseph Zabinski, PhD, Senior Director, AI & Personalized Medicine at OM1 discusses how Artificial Intelligence can accelerate diagnosis and treatment. Listen to the Full Episode >>

Advancing Personalized Medicine for Health Plans: How AI and RWE can improve outcomes, reduce costs, and improve member engageme

Tue, Oct 18, 2022 11:00 AM – 12:00 PM EDT Presenter: Joseph Zabinski, Senior Director, AI & Precision Medicine, OM1 Register >> As population health moves towards personalized, precision medicine, optimizing treatment options and reducing ineffective care will be critical to plans’ success and differentiation in highly competitive environments. Real-world evidence drawn from deep datasets[…]

Using Real-World Data to Unlock Better Outcomes in IBD & NASH Patients

Gastrointestinal and metabolic disorders are highly prevalent and result in reduced quality of life for many patients. Treatments are aimed at reducing symptoms and preventing complications and progression. More research is needed to better understand natural history and progression, treatment effectiveness, and outcomes. Register here Linked real-world data (RWD) and machine learning (ML) applications provide[…]

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