Showing 6-10 of 29 :
Using Real-World Data to Unlock Better Outcomes in IBD & NASH Patients

Gastrointestinal and metabolic disorders are highly prevalent and result in reduced quality of life for many patients. Treatments are aimed at reducing symptoms and preventing complications and progression. More research is needed to better understand natural history and progression, treatment effectiveness, and outcomes. Register here Linked real-world data (RWD) and machine learning (ML) applications provide[…]

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[…]

Using Real-World Data to amplify disability scores in Multiple Sclerosis patients

THU, JUN 9, 2022 11:00 AM – 12:00 PM EDT Register >> Assessing clinical and functional status in Multiple Sclerosis (MS) using the Expanded Disability Status Scale (EDSS) is critical to inform treatment decisions and monitoring the progression of illness. Yet, EDSS scores are documented infrequently and inconsistently due to the time required to complete[…]

Understanding Heart Failure through the Real-World Data Lens

Thu, Apr 21, 2022 11:00 AM – 12:00 PM EDT Register>> There has been substantial recent progress in new heart failure (HF) treatments, yet there is still a large unmet need in the treatment of HF with preserved, mid-range, and reduced ejection fraction as well those with co-morbidities. Linked real-world data (RWD) can provide a[…]