Showing 6-10 of 16 :
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[…]

AI Applications for Clinical Development: From Finding Patients to Amplifying Endpoints

Wed, Nov 17, 2021 11:00 AM – 12:00 PM EST Presenter: Dr. Joseph Zabinski, Senior Director of Data Solutions, OM1 Register >> Artificial Intelligence (AI) technology is increasingly being used for accelerating and optimizing clinical development. Yet, understanding useful implementation and its real-world impact remain challenging. Join this webinar to explore: Real-world applications for AI[…]

CNS & Behavioral Health: Using RWD to Accelerate Research & Improve Outcomes

Tue, Jun 22, 2021 2:00 PM – 3:00 PM EDT Register >> Nearly 20% of Americans are diagnosed with a mental health condition every year. Yet, more than half of those don’t receive a treatment for their condition. Globally, neurological disorders are one of the leading causes of disability and death with few if any[…]

Bridging Clinical Research with Clinical Practice: Use of AI in Predicting Outcomes

Wed, May 18, 2021 11:00 AM – 12:00 PM EDT Register Artificial Intelligence (AI) is increasingly being applied to improve medical research and clinical practice. Join this panelist discussion exploring AI applications and high-performance predictive modeling for: – Improving research efficiency – Accelerating personalized treatment development – Supporting clinical decision making Presenters: – Prakash Jayakumar,[…]