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.
AI-ML Clinical Development covers topics such as:
- 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
