Interactive discussion and Q&A Webinar - AI for Multimodal Data Creation, Integration and Analysis

1. Applications of multimodal in drug development & precision medicine

• Overview of multimodal human data for translational medicine and clinical development (genomics, computational pathology, clinical, real-world data, omics)

1. Challenges in multimodal AI:
   1. Creating data and integrating data
   2. Data quality, scale, and heterogeneity
   3. Interpretability and biological insight
2. How AI helps with the generation, analysis and interpretation of the data
3. Lessons learned from translating AI models into scientific, clinical and regulatory impact
4. Future directions: foundation models, generative AI, and scalable multimodal platforms