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Hard to Define, Harder to Find Patients: Using AI & Real-World Data to Understand Treatment Resistant Depression

  Mental health conditions can take a staggering toll on an individual physically, socially and financially. Many patients languish with partially effective or ineffective treatments, even though new options are constantly entering the market. At OM1, we are using our… Continue Reading

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Using Real-World Data for Patients with Multiple Sclerosis: A New Machine Learning Model for the Expanded Disability Status Scale (EDSS)

  Multiple sclerosis (MS) is a chronic illness in which the body’s immune system attacks myelin, the substance that surrounds and protects the nerve fibers of the central nervous system. The result is a disabling disease that causes damage to… Continue Reading

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Tackling Rare Diseases with an Arsenal of Real-World Data

Technological innovations have fostered the age of big data in healthcare – and the huge populations amassed afford the ability to mine for key subpopulations — getting down to ever more precise groups of likely responders to therapy, high-risk patients and other high-value subphenotypes. Continue Reading

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Big Ideas for Big Data Analytics in Real-World Evidence: Insights from Dr. Rich Gliklich, CEO of OM1

  Dr. Patti Peeples, CEO of HealthEconomics.Com, sat down with Dr. Rich Gliklich, CEO of OM1, to discuss how big data analytics are changing the face of real world evidence (RWE). The mission of this Cambridge, Massachusetts digital health company… Continue Reading