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Practical AI: Adding Insight to the Patient Journey with Digital Phenotyping

DATE: Thursday, May 23, 2024 TIME: 11:00 am EST PRESENTER: Joseph Zabinski, PhD REGISTER HERE >> 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. Real-world data provide insight into[…]

AI and Digital Phenotyping for Clinical Development

Wed, Jan 31, 2024 2:00 PM – 3:00 PM EST Register here >> With the new year comes even more hype with how AI will transform the healthcare and pharmaceutical landscape – including McKinsey estimating that AI technology could generate up to $110 billion a year in economic value for the pharma and medical-product industries.[…]

Improving Patient Outcomes: AI-Based Phenotyping for Diagnosis, Treatment, and Clinical Trials

Register to watch>> 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. Extracting as much information as possible from real-world datasets is essential for understanding the complete patient journey. Subtle patterns in[…]

Using AI to Expand Treatment Access and Close Guideline Gaps

Tue, Jun 20, 2023 11:00 AM – 12:00 PM EDT Presenters: Costas Boussios, Chief Data Scientist and Joseph Zabinski, Managing Director of AI & Personalized Medicine Register>> Across many conditions, screening for diagnosis and use of effective therapies remain far behind where best-practice clinical guidelines would suggest. Patients falling into this ‘guidelines gap’ may not[…]

Using AI to Accelerate Diagnosis and Treatment

In this episode of the Medical Affairs Professional Society (MAPS) podcast ELEVATE, Joseph Zabinski, PhD, Senior Director, AI & Personalized Medicine at OM1 discusses how Artificial Intelligence can accelerate diagnosis and treatment. Listen to the Full Episode >>