Showing 11-15 of 32 data studies & next generation registries:
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[…]

OM1 Launches Multiple Sclerosis Registry With More Than 20,000 Patients Prospectively Followed With Deep Clinical Data

BOSTON, July 14, 2021 /PRNewswire/ — OM1, a leading real-world data, outcomes and technology company with a focus on chronic diseases, today announced the launch of its multiple sclerosis (MS) registry. MS is an auto-immune, inflammatory disease that attacks the central nervous system (CNS) and causes a variety of neurological symptoms, such as muscle weakness, spasticity, fatigue, numbness, vision[…]

Black Women Less Likely To Undergo Digital Breast Tomosynthesis

M.D. Alert Published: March 5, 2021 Read the Full Commentary >> (Reuters Health) – Women have better screening outcomes with digital breast tomosynthesis, but a new study suggests that Black women have less access to this imaging modality. Researchers examined data on 385,503 women screened at one of 63 U.S. breast imaging facilities between 2015[…]