2nd AI Innovations for Pharma and Biotech Summit

Artificial intelligence is being used by life science organizations to accelerate drug development and spur medical device innovation through genomic profiling, optimized clinical development strategies, and through monitoring treatment adherence. While numerous platforms, systems, and applications have been developed to transform artificial intelligence in drug/clinical development there is a still an industry-wide need to explore practical use case to best identify how these innovative technologies can be operationalized.

The 2nd AI Innovations for Pharma and Biotech Summit will bring together biomedical experts in machine learning, blockchain-based systems, IoT, and other future technologies who have harnessed the potential of artificial intelligence applications in drug development. Each will have a laser focus on how these technologies can be operationalized to meet evolving business needs.

Learning Objectives

  1. Define standards for the ethics, law, and practice of machine learning and privacy in the life science industries
  2. Consider the organizational discipline required to scale AI’s capabilities across multiple clinical trials, sites and health systems
  3. Examine opportunities to apply artificial intelligence and machine learning in healthcare and life science industries
  4. Implement a cutting-edge health data strategy while maintaining compliance with complex privacy and security regulatory frameworks
  5. Outline issues, roadblocks, and bottlenecks in the current drug discovery process that can be hurdled with AI technologies

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