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: 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.
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.
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.
Cutting Edge Conversations: Addressing Orphan and Rare Diseases
Joseph Zabinski, PhD, MEM, and Jonathan Kish, PhD, MPH, discuss how research groups are working in the realm of orphan and rare diseases.
The Value of a Multi-Source Real-World Data Strategy: How to Overcome Gaps and Limitations
Syapse experts share how to establish high quality, real-world datasets by using a multi-source strategy. A single source of data is often not enough to generate meaningful real-world evidence.
