The Sooner, the Better: Detecting and Decoding Alzheimer’s with Real-World Data
The landscape for Alzheimer’s disease is rapidly changing. This episode of tHEORetically speaking features Dr. Carl Marci from OM1 and Dr. Luke Stoeckel from NIA, as they discuss the critical need for earlier detection leading to potentially life changing earlier interventions.
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How AI-Powered Phenotyping Enhances the Patient Journey for Life Science Applications
In this episode of tHEORetically Speaking, Dr. Joseph Zabinksi, VP and Head of Commercial Strategy and AI at OM1, explains how AI-powered digital phenotyping can enhance our understanding of patients' experiences and inform access, treatment, and condition management.
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.
Leveraging Real-World Data for Precision Obesity Treatment
Today’s episode of tHEORetically speaking features Gary Curhan, Chief Medical Officer and Jessica Paulus, Vice President of Research at OM1, as they answer questions on Leveraging Real-World Data for Precision Obesity Treatment.
Additional Content From OM1
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.
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.