Podcast Q&A: EU HTA Joint Clinical Assessments
In this episode of tHEORetically Speaking, join Dr. Rosemary Jose, Dr. Sonja Kroep, and Nick Halfpenny from OPEN Health, Dr. Ansgar Hebborn from Roche, and James Ryan from AstraZeneca, who answer questions from a recent webinar on several policy aspects regarding the current challenges and implications of the EU Health Technology Assessment (HTA) regulation.
Podcast Q&A: Patient-Centered Real-World Evidence in Rare Diseases
In this episode of tHEORetically Speaking, join Drs. Megan Gower and Edward Chou from Takeda, and Richard Tsai, MS from Inspire, who answer questions from a recent webinar on the challenges and solutions for generating patient-centered real-world evidence (RWE) in the context of rare diseases, to support clinical development through commercial post-approval.
Delphi Panels: What Are They Good For?
In this webinar, experts deep dive into Delphi panel methods, their implementation, and pharmaceutical industry insights on the panels' use and outcomes.
The Future of Diversity in Clinical Trials: Real-World Evidence
This episode of tHEORetically Speaking features real-world evidence experts Alexandrina Balanean, Parisa Asgarisabet, and Danielle Gentile from Cardinal Health discussing the problems caused by lack of diverse representation in clinical trials.
EU HTA Joint Clinical Assessments: Navigating Potential Challenges Ahead of 2025
This panel discusses several policy aspects regarding the current challenges and implications of the EU Health Technology Assessment (HTA) regulation.
Bridging the Gap: Strategies for Patient-Centered Real-World Evidence in Rare Diseases
Watch this webinar exploring real challenges and solutions for generating patient-centered real-world evidence (RWE) in the context of rare diseases to support clinical development through commercial post-approval.
Improving Patient Outcomes: AI-Based Phenotyping for Diagnosis, Treatment, and Clinical Trials
Join a panel of OM1’s clinical experts in cardiometabolic disease, immunology, and mental health as they explore how Artificial Intelligence (AI) can find phenotypic patterns and unlock insights hidden in real-world data.
Finding Value in Linking Real-World Data with Social Determinants of Health
Hear Pamela Landsman-Blumberg and Rick Chapman highlight the importance of SDOH and discuss examples of how claims data and EMR linked with SDOH can inform use cases.
Using External Control Arm Studies in HTA Submissions: An Alternative, When RCTs are not Feasible
Matthias Hunger, Céline Taveau, and Ankit Pahwa present the challenges and opportunities when using external control arm studies in submissions to HTA agencies.
Overcoming Clinical Research Challenges: Analyzing EHR Data to Replicate Clinical Trials and Construct External Control Arms
Mac Bonafede, Stella Chang, and Dr. Rajesh Dash provide an overview on defeating common clinical trial barriers by combining EHR data with advanced analytics technologies.
