AI for Life Sciences

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AI for Healthcare

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Blockchain and Future Technologies

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Top Five Reasons to Attend

  1. Define standards for the ethics, law, and practice of machine learning and privacy in the healthcare and life science industries
  2. Examine AI, reimbursement schemes and integrated healthcare services to understand privacy, data protection, and data ownership
  3. Use adversarial and variational autoencoders for generating new molecular structures
  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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