Showing 21-25 of 143 news & articles:
Shifting the Paradigm to Pragmatic Evidence Generation

Integrated evidence generation (IEG) is a framework for generating evidence to support regulatory decision-making in healthcare, automate real-world data collection and grow evergreening data networks that fuel a variety of needs.

How AI Can Help Dermatology: Diagnosis, Treatment, Risk, and R&D

HealthEconomics.com November 15, 2023 Listen to the full podcast >> 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[…]

Meet Your 40 Under 40 Winner – Joseph Zabinski, PhD, MEM Managing Director of AI & Personalized Medicine, OM1

Healthcare Innovation September 19, 2023 Read the full article >> Congratulations to 40 Under 40 Winner: Joseph Zabinski, PhD, MEM, Managing Director of AI & Personalized Medicine, OM1 Get To Know Joseph: Age (as of December 31, 2023): 35 Hometown: Cortlandt Manor, NY Alma Mater: Boston College (BS), Dartmouth (MEM), UNC (PhD) Number of Years of Experience in Healthcare: 8[…]

A new era of integrated evidence generation: Deep dive into OM1 case study spotlight from the DIA Real-World Evidence Conference 2023

November 1, 2023 The Evidence Base Read the full article >> In a recent presentation at the DIA Real-Word Evidence (RWE) Conference (October 16–17, 2023, Baltimore, MD, USA), Sonja Wustrack, Managing Director of Integrated Evidence Generation at OM1 (MA, USA), discussed strategies for optimizing evidence generation in clinical research. She described the OM1 approach to[…]

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