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

Who Attends

This event is designed for life science, healthcare, and tech professionals with responsibilities in the following areas:

  • Artificial Intelligence
  • Deep/Machine Learning
  • Data Science/Management
  • Clinical Research/Development
  • Innovation
  • Bioinformatics
  • Computational Systems
  • Advanced Analytics
  • Modeling Platforms
  • Drug Development
  • Medical Imaging
  • Genomic Profiling
  • Personalized Medicine
  • Strategic Partnerships
  • Automated Intelligence
  • Privacy
  • Digital Health
  • Healthcare Diagnostics
  • Distribution
  • Inventory Planning and Management
  • Partnership Development
  • Quality Control
  • Supply Chain Operations
  • Serialization
  • Sourcing
  • Supply Chain Compliance
  • Supply Chain Finance
  • Supply Chain Innovation
  • Supply Chain Technology
  • Enterprise Data Architecture
  • Technology Innovation
  • Master Data Management
  • Big Data
  • Cloud Management
  • Data Governance
  • Information Security
  • Business Intelligence

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