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6th Annual Pharma AI Summit

Human-Driven Innovation in an AI-Powered Pharma Landscape: Advancing Drug Discovery, Clinical Development, and Patient-Centric Care Through Artificial Intelligence

18 — 19 September, 2025 London

Key facts

Date: 18 — 19 September, 2025

Place: London

Conference Overview

Artificial Intelligence is no longer a futuristic concept in pharma—it’s a practical force reshaping how we discover, test, and deliver treatments.

From AI-generated molecule design and predictive analytics in clinical trials to natural language processing in pharmacovigilance, the industry is moving toward faster, smarter, and more personalized healthcare solutions. But innovation doesn’t thrive on algorithms alone—it requires human judgment, ethical design, and cross-disciplinary collaboration.

The 6th Annual Pharma AI Summit will return with more interactive sessions, practical insights, and thought-provoking case studies addressing the most pressing opportunities and challenges in pharma’s AI transformation.

As artificial intelligence becomes increasingly embedded in everything from clinical development to regulatory strategy and patient engagement, this summit offers a timely exploration of how to harness these technologies for real-world impact.

This C-level meeting provides a comprehensive look at how AI is reshaping decision-making, operational efficiency, and scientific discovery. In a time of exponential innovation, success hinges on the ability to integrate new tools while preserving patient safety, regulatory compliance, and data ethics. The summit serves as a high-value platform for dialogue, collaboration, and solution-building across functions.

We invite you to join the conversation, challenge assumptions, and help shape the future of AI-enabled healthcare alongside fellow leaders, innovators, and changemakers in pharma and life sciences.

Key topics

AI and the clinical trial design and optimisation opportunities
Virtual patients, digital twins and causal disease models: paving the ground for in silico clinical trials
Integrating AI and Network Biology for Novel Drug Discovery
Defogging the scientific information overload
A Deep Learning Library for Sequential Claims Data
Studying the effects of RNA-small molecule interactions at scale
Structure Based Generative AI for De Novo Drug Design
Innovations in Patient Recruitment Planning/Forecasting and Trial Operations Optimization
Developing a knowledge graph framework for drug safety prediction
Natural Language Processing for Adverse Events Detection
AI & ML Data infrastructure and architecture
AI governance capabilities, data policies and ethics
How Artificial Intelligence helps to reach truly data-driven drug discovery
How AI and ML tools improve prediction of infectious disease outbreaks
How Real World Evidence can make drug development cheap and more effective
What are the obstacles in the clinical trials for patients, physicians, IRB/HA, legal, Industry
How AI can help in management, transmission and interpretation of imaging data