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
AI-ML Clinical Development might be held in Boston, MA, United States in Sep 2020 (Not Final).