Artificial Intelligence for Healthcare in Long Duration Human Spaceflight Workshop
On Tuesday, July 31, 2018, TRISH held a one-day workshop on artificial intelligence and the role it could play in predictive and preventative healthcare 33 million miles from Earth and just around the corner in your neighborhood. The forum focused on three topics: sensors and health data generation; data aggregation, analysis and action, and human interactions/human performance. Experts offered presentations and answered questions on how AI technology is changing - and must continue to change - and how the individual is quickly becoming the driver in his/her own healthcare.
Setting the Stage for the One Day Workshop
- Welcome and Introductions
Stephen Mayo, Ph.D., William K. Bowes Jr. Leadership Chair, Division of Biology and Biological Engineering; Bren Professor of Biology and Chemistry, California Institute of Technology; and Innovation Specialist for TRISH
- Translational Research Institute for Space Health
Dorit Donoviel, Ph.D., TRISH Director and Associate Professor, Department of Pharmacology and Chemical Biology, Baylor College of Medicine
Sensors and Health Data Generation
The development of AI and machine learning tools relies on the availability of large amounts of data to train models. Wearable/portable biosensors and non-invasive monitoring prove an important type of data for the development of these tools in addition to the benefits of real-time health monitoring and clinical assessment.
- Non-Invasive Cardio-Vascular Monitoring
Morteza (Mory) Gharib, Ph.D., Hans W. Liepmann Professor of Aeronautics and Bioinspired Engineering; Director, Graduate Aerospace Laboratories; Director, Center for Autonomous Systems and Technologies, California Institute of Technology
Data Aggregation, Analysis, and Action
Using Big Data provides tremendous opportunities to understand and treat disease. Beyond aggregation and analysis, tangible prospects exist for significantly improved clinical diagnoses and data-driven therapeutic interventions for personalized medicine.
Human Interactions/Human Performance
From human/machine interactions and modeling of human behavior to future prospects of groundbreaking technologies, AI promises the development of novel tools for the in-depth analysis of the human condition and human performance, particularly in challenging and extreme environments.
- Current and Future Directions of AI and Human Performance
Aenor Sawyer, M.D., Director UCSF Skeletal Health Service, Health Innovation and Technology in Ortho; Assistant Professor, Department of Orthopedic Surgery, University of California San Francisco