2026 ISPE AI in Life Sciences Summit – Powered by GAMP®

Agenda Travel Register

Summit Overview

22 - 23 Jun 2026 Boston, MA, United States and Virtual

The 2026 ISPE AI in Life Sciences Summit – Powered by GAMP^® will bring together pharmaceutical manufacturers, technology providers, academic scientists, and international regulators to network, share insights, and provide an outlook on artificial intelligence in the life sciences industry.

This conference will focus on the transformative role of artificial intelligence across the life sciences value chain, including drug or device development, clinical research, manufacturing, supply chain management, and post-market surveillance, and covering business, quality, and technology perspectives. The Summit will feature industry and regulatory keynotes and panel discussions sharing high-level perspectives on innovation, strategy, and regulatory expectations.

Unlock your potential with Continuing Education!

Invest in your future! Join us at the 2026 ISPE AI in Life Sciences Summit to enhance your skills, share ideas, connect with peers, and earn 1.2 CEUs. Start your journey towards lifelong learning and career advancement today!

Your Summit Experience

Expo Hall

Explore groundbreaking innovations and network with industry leaders at our dynamic expo hall.

Professional Training

Connect with top industry experts and expand your professional network at our exclusive networking sessions.

2024 ISPE Pharma 4.0™ and Annex 1 Conference

Keynote Speakers

Subject matter experts and top leaders in the pharmaceutical industry.

Summit Sessions

Learn from industry experts.

+ 6

Networking Hours

+ 11

Education Hours

+ 35

Exhibitors

Summit Highlight

Maturing AI in Life Sciences: Building Infrastructure, Not Experiments

Artificial intelligence is no longer confined to innovation labs within life sciences organizations. It is now influencing drug and device development, clinical research, manufacturing operations, supply chain performance, and post-market surveillance. AI systems are accelerating molecule screening, enhancing pharmacovigilance signal detection, optimizing maintenance programs, and supporting documentation workflows.

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