Artificial Intelligence for Healthcare in Long Duration Human Spaceflight Workshop

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

Overview and NASA Perspective

Mark Shelhamer, Sc.D., Associate Professor, Department of Otolaryngology - Head and Neck Surgery, The John Hopkins University, School of Medicine

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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.

Wearable Sweat Biosensors for Continuous Health Monitoring

Wei Gao, Ph.D., Assistant Professor of Medical Engineering, California Institute of Technology

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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.

Content Analysis of Space Biology Research

Elizabeth Keller, M.A., Senior Scientist, Space Biosciences, NASA-Ames Research Center

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Using Deep Learning to Predict Diabetic Retinopathy and Other Eye Diseases

Jonathan Krause, Ph.D., Senior Software Engineering, Google AI

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Human Dense Phenotyping and Big Data Analysis

Leroy Hood, M.D., Ph.D., Chief Strategy Officer and Co-Founder, Institute for Systems Biology; Senior Vice President and Chief Science Officer, Providence Health and Services

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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.

Learning Representations of Human Behavior and Its Application to Healthcare

Stefan Scherer, Dr. rer. nat., Chief Technology Officer, Embodied Research Assistant Professor, Department of Computer Science, USC

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Performance in Extreme Environments

Dawn Kernagis, Ph.D., Research Scientist, Institute for Human and Health Cognition 

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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

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Panel Discussion

How it all fits together. 

Engineering Interdependent Human-AI Systems

Peter Pirolli, Ph.D., Senior Research Scientist, Institute for Human and Machine Cognition

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