Practical AI: Adding Insight to the Patient Journey with Digital Phenotyping
In this webinar, Dr. Joseph Zabinski will discuss the digital phenotyping process and several concrete applications to demonstrate how AI can add value to analyses of the patient journey across the life sciences spectrum.
Podcast Q&A: Clinical Outcomes Assessments and Training
In this episode of tHEORetically Speaking, join Kelly Lipman, Heather Dickerson, and Ryan Murphy from ICON, who answer questions from a recent webinar on the dynamic landscape of clinical outcomes assessments, examining their historical significance, current uses and best practices, and making a case for greater standardization in their implementation.
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.
Podcast Q&A: Real-World Evidence Generation with Disease Registries
In this episode of tHEORetically Speaking, join Drs. Javier Cid, Nahila Justo, and Delphine Saragoussi from Evidera and PPD, who answer questions from a recent webinar on why strong connections with registry groups and stakeholder populations are important for generating relevant real-world evidence to advance treatments.
Podcast Q&A: Clinical Outcome Assessment (COA) Translations
In this episode of tHEORetically Speaking, join Christelle Giroudet, MA and Ana Alvarez, MA, COA Linguistic Validation Leaders with ICON, as they highlight the importance of Linguistic Validation and how equivalence should be a key focus during the development of Clinical Outcome Assessment translations.
Patient Voices Matter: Transforming Industry-Sponsored Real-World Evidence with Patient-Centric Approaches
In this webinar, panelists address integrating patient-centered research into real-world studies, focusing on diversity, equity, and inclusion (DEI), and developing systemic approaches for a more equitable research ecosystem.
Total System Value™ – A DYNAMIC APPROACH TO VALUE DEMONSTRATION
HEOR Ltd. have been working on an exciting new framework called Total System Value™. This episode of tHEORetically speaking features their CEO Phil McEwan and CGO Jeff Anderson to talk to us about this dynamic approach to value demonstration.
How AI Can Help Dermatology: Diagnosis, Treatment, Risk, and R&D
The hype around AI is finally translating into real-world value, and we are seeing broader adoption of real-world data in Dermatology. This episode of tHEORetically Speaking features Dr. Stefan Weiss, Managing Director of Dermatology and Dr. Joseph Zabinski, Managing Director of AI and Personalized Medicine at OM1, who discuss the path to personalized medicine and AI-powered clinical decision support in dermatology.
Navigating the Clinical Outcomes Maze: An Overview of Clinical Outcomes Assessments and Why Training Matters
This webinar delves into the dynamic landscape of COAs, examining their historical use and significance, current uses and best practices, and making a case for greater standardization in their implementation.
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.
Minimizing the Impact of Cross-Cultural Differences in COA Translations
ICON's COA Linguistic Validation Leaders highlight the importance of Linguistic Validation and how equivalence should be a key focus during the development of Clinical Outcome Assessment translations.
Partnering with Disease Registries: The Value and Impact for Real-World Evidence Generation
In this webinar, Evidera experts present guidance on why strong connections with registry groups and stakeholder populations are important for generating relevant real-world evidence to advance treatments.
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.
