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Finding hard-to-find patients: Integrating real-world data and AI

BioPharma Dive Published Online: July 18, 2022 Read the Full Article>> Identifying patients ‘outside the clinic’ can provide significant benefits for researchers and population health managers. Better understanding of patient cohorts can shed light on patient journeys, help optimize decisions around treatment choice and timing and inform the development of new therapies and intervention programs.[…]

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

Sage Journals Published June 22, 2022 Read the Full Manuscript>>  Abstract Background Disability assessment using the Expanded Disability Status Scale (EDSS) is important to inform treatment decisions and monitor the progression of multiple sclerosis. Yet, EDSS scores are documented infrequently in electronic medical records. Objective To validate a machine learning model to estimate EDSS scores[…]

AAO-HNSF Partners With OM1 To Empower More Measured & Precise Care And Treatments For ENT

Collaboration enables otolaryngologists and researchers to leverage data for real-world evidence, outcomes, and personalized medicine programs BOSTON, May 13, 2020 — OM1, a real-world outcomes and technology company, today announced a strategic partnership with the American Academy of Otolaryngology–Head and Neck Surgery Foundation (AAO-HNSF) connecting the Foundation’s Reg-entSM  clinical data registry to OM1’s real-world data[…]

Applying big data analytics to patient records, OM1 offers insights to hospitals and pharma

Published by TechCrunch, December 17 2019, written by Jonathan Shieber OM1, a big-data analytics company for the healthcare industry, has raised $50 million in its latest round of financing to expand its sales and marketing and product development activities as it brings clinical insights to hospitals and big pharma companies alike. The new financing highlights[…]