Showing 1-5 of 65 news & articles:
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[…]

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[…]

Real-world data: A health equity lens for research

BioPharma Dive Online Read the Full Article>>   Health inequities around the world produce disparities of a shocking magnitude. For example, life expectancy from birth ranges from approximately 55 to 85 years old depending on the country in which a child is born. Linked with degrees of social disadvantage, these same profound differences can be seen[…]

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