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Shifting the Paradigm (and Prince)on Integrated Evidence Generation

MAPS Webinar 9/15/23 Listen tot he full webianr >> Clinical research is typically costly for sponsors and burdensome for providers and patients. New methods and approaches, such as integrated evidence generation using real-world data networks and automated study platforms, are accelerating the path from start-up to read out.

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[…]

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[…]

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 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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