Showing 1-5 of 11 :
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[…]

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[…]

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,[…]