Optimize When & How to Practically Apply AI & Machine Learning to Improve the Efficiency, Patient Recruitment, Design and Outcomes of Clinical Trials

Designed with leading AI and R&D experts from the likes of GSK, Pfizer, Takeda, Celgene, AbbVie and academic KOLs, & containing real world use cases of AI in action, this year’s AI-ML: Clinical Development Summit tackles both the critical scientific and technical challenges, as well as identifying opportunities, of implementing AI and machine learning (ML) to optimize your clinical development.

This is a critical time for drug developers to make more data-driven decisions that lead to improved efficacy, safety and approval outcomes. Only here you will learn when, strategically, it is the right time to invest and apply AI to transform your clinical trial success.

As clinical failure rates remain unsustainable and the vast amounts of patient data increases further, AI, data and clinical development and pharmacovigilance experts from across large pharma and biotech are gathering to discover the growing practical applications of AI and ML.

With 60+ thought-leaders converging at the AI-ML Clinical Development Summit, this will surely be an unrivalled opportunity for you to learn first-hand the growing practical applications of AI and ML.

• Discover how to technically integrate and apply AI algorithms to enhance trial design, improve patient selection and retention and achieve more precise pharmacovigilance studies.
• Grasp how AI will fundamentally change the paradigm of clinical trial execution and identify key areas where AI can positively impact your drug development decision making.
• Harness AI and extract maximum value to achieve regulatory success and accelerate novel therapeutic products to market.

To learn more and to register online, visit: https://ai-clinicaldevelopment.com/