This year’s AI-ML: Clinical Development Summit has been 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 that tackle the critical scientific and technical challenges, and 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.
With 60+ AI, data, clinical development and pharmacovigilance experts across large pharma and biotech joining, this will be an unrivaled 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.
View the full event guide to find out more.
"This was a great meeting. Finally companies are starting to share some successful AI-applications use cases."
Past Attendee, AI-ML Clinical Development Summit 2018
"Great conference set-up and organization, excellent for networking and creating new collaborations."
Yahui Tian, Boehinger Ingelheim
"AI-ML Clinical Development 2018 was a successful summit for me as an upcoming biopharmaceutical research professional. They ensured all participants were engaged in discussions and candid about their challenges and triumphs. There were useful lessons and insights I learnt from each speaker."
Aditya Kulkarni, Lantern Pharma
Director of Computational Biology
AI strategy & Machine Learning Technical Lead
Head of Virtual Clinical Trials
Leo Innovation Lab