AI-ML Clinical Development

AI-ML Clinical Development is a conference that provides an insight on how to integrate AI algorithms to improve patient selection, enhance trial design, achieve more precise pharmacovigilance studies and retention.

Topics

• Using AI & Data Science to Rapidly Discover Precision Medicines by Analyzing Failed Phase 3 Trial Data
• Unlocking the Potential of Machine Learning (ML) in Clinical Development
• Use of AI in Computational Pathology for Patient Stratification
• Using ML to Develop Personalized Medicine for Psychiatric Patients
• Harnessing Machine Learning & Artificial Intelligence for Biomedical Research
• Infrastructures, People Structures, & Problem Structures: Managing the Shift to AI
• How Machine Learning Derived Drug-Sensitivity Models Can Help Clinical Proof-Of-Concept Studies
• Data Integration & Machine Learning for Gene Therapy Translational Research
• Translating Machine Learning Solutions in the Clinical Practice