AI, Machine Learning and Data Science

October, 2022 – Los Angeles, CA

AI, Machine Learning & Data Science in Precision MedicineAdvances in augmented and artificial intelligence and related areas* continue to accelerate along the innovation trajectory.  As noted at last year’s AI Summit, the focus continues to intensify on applications that demonstrate the ability to boost performance for complicated procedures or to make complex decisions.  Recent examples include machine vision and machine learning for robotic surgery, e.g., by enhancing a surgeon’s ability to view a surgical field and use real-time information about the patient’s condition.

AI systems are designed to have access to the most recent information on medicines, indications, and support literature.  Precision medicine can benefit from AI design innovations by empowering healthcare professionals in the critical role of decision-making and conveying decisions to patients.

We also foresee AI being used for resource planning and operational efficiency so that the right resources are available for the right patient at the right times to realize the best patient care. In addition to aiding individual patients and doctors, AI systems can provide the means to streamline administrative functions, such billing and paying with a goal of making costs transparent to all parties.  AI systems may also be the means to transition from fee-for-service plans to value-based payment models.

If you are a clinician, research scientist, or regulator, this conference is one you won’t want to miss. Hear from leaders in academia, biotech, pharmaceuticals, diagnostics, clinical research, healthcare and regulatory bodies at the world’s most informative virtual conference for precision medicine on artificial intelligence.

We invite you to join us online for the Precision Artificial Intelligence Virtual Summit 2020 with a line-up of speakers who will address the following topics and more:

  • Interfaces and graphics that convey information to providers and patients
  • Tools to access the best information on current medicines and indicated uses
  • Emerging Clinical Diagnostics with links to markers on drug labels
  • Augmented Intelligence – empowering the physician as a partner with AI
  • Conversational AI to improve patient engagement and experience
  • Enabling the management of practices, centers, and hospitals
  • Telemedicine – can diagnostics be done over the phone? or is this the path to triage?
  • Partnerships among diagnostics companies, pharmas, payers, and CROs – the technological, medical, and economic ecosystem to better healthcare
  • Economics of using AI systems – risks vs rewards,
  • Data storage, management, analysis for managing organizations: data tracking and accounting, blockchain technologies
  • Tools to optimize resource planning and operational efficiency


Who should attend:

  • Executives and Decision Makers – CEOs, CTOs, CMOs, and CSOs
  • Principals and Administrators of practices, centers, and hospitals
  • IT Systems Administrators
  • Systems Developers for Systems and Software
  • Artificial and Augmented Intelligence Developers
  • Research, Development, and Practicing Clinicians
  • Leads for Medical Purchasing, Sales, and Planning
  • Regulatory Leaders in Government and Business Affairs groups
  • Economic Planners and Forecasters