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The Power of AI to Advance Digital Health Innovation

Expert Insights from ADDS Atlanta 2026

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Artificial intelligence is rapidly reshaping digital health and clinical research. In this featured ADDS 2026 session, scientists and experts from Pfizer, Mayo Clinic, the U.S. Food and Drug Administration, UCLA, and Ametris share how AI and machine learning are advancing the development, validation, and application of digital measures.

Across four presentations and a panel discussion, this session explores the emergence of pre-competitive foundation models to standardize digital endpoints, new approaches to generating high-quality sensor data at scale, and evolving regulatory expectations for AI-enabled clinical outcome assessments. Speakers also highlight real-world applications, including AI-powered remote monitoring to support immunotherapy access and home-based assessments that capture meaningful patient outcomes in conditions like Parkinson’s disease.

Register to watch the Featured Presentations and Panel Discussion and hear how industry leaders are turning AI-driven insights into scalable, regulatory-ready solutions for modern clinical research and development.

AI Session Featured Presentations

Sheraz Khan Presentation

Building the Foundation: Shared, Pre-Competitive Foundation Model for Digital Endpoints in Drug Development

Sheraz Khan, PhDSheraz Khan, PhD
Director of Data Science at Pfizer

Jonas Paludo and Michael Pettinati Presentation

Toward a Future of Increased Immunotherapy Access: The Potential of AI and High-Quality Digital Data

Ametris_ADDS_Atlanta_2026_Speakers_JonasPaludoJonas Paludo, MD
Oncologist at Mayo Clinic

Michael Pettinati, PhDMichael Pettinati, PhD
Senior Data Scientist at Ametris

Kimberly Kontson Presentation

Transforming Clinical Outcome Assessments with Machine Learning and Wearable Technology

Kimberly Kontson, PhDKimberly Kontson, PhD
Senior Biomedical Engineer at U.S. FDA

Yuzhe Yang Presentation

Foundation Model and Large Sensor Data for Personal Health

Yuzhe Yang, PhDYuzhe Yang, PhD
Professor at UCLA and Researcher at Google

AI Session Panel Discussion

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Watch the full session to hear how industry leaders are turning AI-driven insights into scalable, regulatory-ready solutions for modern clinical research and development.

Register to Watch AI Session Videos