Showing 141-145 of 257 resources:
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[…]

Using Real-World Data to Explore and Demonstrate Comparative Effectiveness

July 19, 2022 11:00 AM EDT  Register>> Real-world data (RWD) can provide valuable insights into treatment effectiveness and be used to generate evidence for decision making. Understanding which data, when and how to use it, and special considerations when leveraging for regulatory and other stakeholders are all critical to success for RWD comparative effectiveness research[…]

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[…]

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[…]