The big data revolution, accompanied by development and deployment of wearable medical devices and mobile health applications, has enabled the biomedical community to access more data with which to apply artificial intelligence and machine learning algorithms. This has created new research opportunities in predictive analytics, precision medicine, virtual diagnosis, patient monitoring, and drug discovery and delivery. This meeting considered the opportunities and challenges related to the application of AI and ML to translational research in biomedicine, and explored how the pharmaceutical and biotechnology industries can learn from adoption and regulation of emerging AI tools and technologies in other sectors.
KEYNOTE ADDRESS
Oren Etzioni, Chief Executive Officer of the Allen Institute for Artificial Intelligence; "Demystifying Artificial Intelligence"
AI APPLICATIONS FOR DISCOVERY, DIAGNOSES, AND TREATMENT
The challenges and opportunities of emerging AI applications throughout the biomedical innovation ecosystem in drug discovery, diagnosis, and treatment.
Alvin Rajkomar, Senior Research Scientist at Google Brain; "Google Machine Intelligence and Healthcare"
Jed Pitera, Research Staff Member at IBM Almaden Research Center; "AI and Machine Learning for Pharmaceutical and Materials Discovery"
Sandy Farmer, Executive Director of Genome Sciences and Technologies at Pfizer; "Commercial AI Applications for Discovery"
Robert Murphy, Head of the Computational Biology Department, Carnegie Mellon University; "Self-driving Instruments: The Need for Active Machine Learning in Biomedical Research"
EMERGING CROSS-SECTOR AI CHALLENGES AND OPPORTUNITIES
How are AI tools and research questions about materials discovery, image recognition, deep learning and explainability, and human-technology collaboration being considered across other sectors?
Jeff Alstott, Program Manager for Artificial Intelligence at IARPA; "Security of Machine Learning"
Nathan Hodas, Senior Research Scientist at the Pacific Northwest National Laboratory; "Deep Learning for Scientific Discovery"
David Gunning, Program Manager, Explainable Artificial Intelligence at DARPA; "Explainable Artificial Intelligence Research at DARPA"
Erik Vinkhuyzen, Senior Researcher at Nissan Motor Company; "A Social Science Perspective on Artificial Intelligence"
AI AND INTELLECTUAL PROPERTY
How does AI complicate IP standards?
Robin Feldman, Director of the Institute of Innovation Law at UC Hastings
AI AND THE WORKFORCE
Are universities, industry, and government doing enough to prepare the workforce of the future?
Melvin Greer, Chief Data Scientist, Public Sector Americas, Intel Corporation; "Artificial Intelligence and the Future of Work"