Showing 16-20 of 40 data studies & next generation registries:
How’d They Do It? Tech Leaders Reflect on How They Innovated To Solve Health Problems

Built In Publish Date: September 9, 2022 Read the Full Article >> About the company: Founded in 2015, OM1 developed its data cloud to provide advanced technological tools for researchers and support their quest to find new ways of understanding and treating chronic conditions. Yaning Zhang, Sr. Software Engineer, shared how OM1 turns data into insight:[…]

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

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[…]

Validation Of A Machine Learning Approach To Estimate Systemic Lupus Erythematosus Disease Activity Index Score Categories And Application In A Real-World Dataset

BMJ Journals Published: May 20, 2021 Read the Full Manuscript >>  Objective Use of the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) in routine clinical practice is inconsistent, and availability of clinician-recorded SLEDAI scores in real-world datasets is limited. This study aimed to validate a machine learning model to estimate SLEDAI score categories using clinical notes[…]