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Wednesday June 17, 2026 4:00pm - 5:00pm EDT
Component Type: Forum
Level: Basic
CE: ACPE 1.00 Knowledge UAN: 0286-0000-26-633-L04-P; CME 1.00; RN 1.00

Siloed data stifles advancements in AI-powered drug discovery. Federated computing (FC) provides a secure, privacy-preserving, decentralized approach that enables AI-model sharing, fine-tuning and inference - moving AI demos to real-world applications.

Learning Objectives

Define Federated Computing and its related components; Examine traditional data centralization methods with decentralized federated approaches; Identify use cases for Federated AI in drug discovery and development.

Chair

Ittai Dayan, MD, MPH

Speaker

Accelerating AI-Enabled Drug Discovery and Development with Federated Computing
Jonathan Gilbert

Accelerating AI-Enabled Drug Discovery and Development with Federated Computing
Nadia Harhen

Accelerating AI-Enabled Drug Discovery and Development with Federated Computing
Kyle Tretina


Speakers
avatar for Ittai Dayan

Ittai Dayan

CEO, Rhino Federated Computing, United States
Dr. Ittai Dayan is the Co-Founder and CEO of Rhino Federated Computing, a company transforming the way data is used for creating and deploying Artificial Intelligence solutions in regulated industries. A pioneer of bringing privacy preservation technologies into regulated industries... Read More →
JG

Jonathan Gilbert

Senior Director, Ecosystem Growth and Contributor Partnerships, Eli Lilly and Company, United States
NH

Nadia Harhen

General Manager, AI Simulation, SandboxAQ, United States
KT

Kyle Tretina

Product Marketing Lead, NVIDIA, United States
Wednesday June 17, 2026 4:00pm - 5:00pm EDT
109AB The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA
  03: Data-Tech-AI, Forum
  • Audience Basic
  • Area Artificial Intelligence
  • Level Basic
  • format csv
  • Credit Type ACPE, CME, RN
  • Interest Area Health Technology & AI
  • Feature Topics Artificial Intelligence
  • Tags Forum

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