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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 >>

Advancing Personalized Medicine for Health Plans: How AI and RWE can improve outcomes, reduce costs, and improve member engageme

Tue, Oct 18, 2022 11:00 AM – 12:00 PM EDT Presenter: Joseph Zabinski, Senior Director, AI & Precision Medicine, OM1 Register >> As population health moves towards personalized, precision medicine, optimizing treatment options and reducing ineffective care will be critical to plans’ success and differentiation in highly competitive environments. Real-world evidence drawn from deep datasets[…]