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AI and Predictive Medicine

Leveraging AI to make healthcare more measured, pre-emptive, and precise.

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OM1 uses AI and big clinical data to dramatically improve research efficiency and clinical decision-making through high performance predictive models.

 

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News & Articles

OM1 Launches A New Estimation Model For The Expanded Disability Status Score (EDSS) For Multiple Sclerosis Patients

Read the Press Release >>   BOSTON, June 23, 2022 /PRNewswire/ — OM1, a leading real-world data, outcomes and technology company with a focus on chronic diseases, today announced the publication of their validation of a machine learning approach to estimate expanded disability status scale scores for multiple sclerosis in the Multiple Sclerosis Journal by[…]

Validation of a machine learning approach to estimate expanded disability status scale scores for multiple sclerosis

First Published June 22, 2022 – Multiple Sclerosis Journal Assessment of multiple sclerosis (MS) disease activity is critical for understanding treatment effectiveness, informing treatment decisions, and monitoring disease progression. Magnetic resonance imaging (MRI) findings, clinician-administered assessments, and patient questionnaires are used to measure disease activity and track changes over time. The Expanded Disability Status Scale[…]

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Webinars

Patient Identification: AI Approaches for Challenging Cases

Tue. June 28, 2022 11:00AM – 12:00PM Register >> Identifying patients in real-world data contexts can be difficult, especially when clinical coding is imprecise or unavailable. This webinar will dive into how artificial intelligence tools and real-world data can provide powerful solutions to these challenges. We will discuss how to approach: Conditions with new, underutilized[…]

Understanding Heart Failure through the Real-World Data Lens

Thu, Apr 21, 2022 11:00 AM – 12:00 PM EDT Register>> There has been substantial recent progress in new heart failure (HF) treatments, yet there is still a large unmet need in the treatment of HF with preserved, mid-range, and reduced ejection fraction as well those with co-morbidities. Linked real-world data (RWD) can provide a[…]

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