AI Case Studies in Discovery & Clinical Development
- Relevant and unpublished information discussed by biopharma who are actively using AI tools and technologies and who don’t usually spend their time speaking
- An all interview format so you’re not hearing the same presentation you might have heard at another event
- Your unique opportunity to be among the right people at the right time for open conversations and to ask your questions
Topics to be discussed include:
- Target Identification, Validation & Molecule Generation
- How to Approach Predictive Toxicity Modeling
- Good Machine Learning Practices and Predictive Biomarkers in Clinical Development
- Leveraging AI to Aggregate Healthcare Data and HCP Data
- Leader Perspectives in Clinical Development: Achieving Consistency in Validating & Operationalizing the AI/ML Automation Efforts Transforming Biopharma
- AI and Quantum Computing Approaches to Analysis of Multi-omic Data