Detection and Containment of Emerging Diseases Using AI Techniques
Investigator: Alberto Sangiovanni Vincentelli
Affiliation: University of California, Berkeley
A C3.ai Digital Transformation Institute project
Insights gained through Artificial Intelligence (AI)-based methods have great potential to help mitigate the effects of the CoVID-19 pandemic and other diseases. However, rapidly developing and validating these tools still remains a challenge. This team is addressing the issue by developing reliable algorithms for healthcare AI in response to emerging diseases.
Specifically, they are: 1) developing methods targeting unseen disease types; 2) adapting existing medical AI tools to novel diseases for rapidly mitigating outbreaks; 3) developing robust methods to proliferate and deploy new disease models to disparate healthcare institutions and geographies; and 4) using collaborative AI approaches that leverage the experiences from geographically disparate medical professionals/trainees to enable the "rapid-cycle" development of novel disease models.
About NERSC and Berkeley Lab
The National Energy Research Scientific Computing Center (NERSC) is a U.S. Department of Energy Office of Science User Facility that serves as the primary high-performance computing center for scientific research sponsored by the Office of Science. Located at Lawrence Berkeley National Laboratory, the NERSC Center serves more than 7,000 scientists at national laboratories and universities researching a wide range of problems in combustion, climate modeling, fusion energy, materials science, physics, chemistry, computational biology, and other disciplines. Berkeley Lab is a DOE national laboratory located in Berkeley, California. It conducts unclassified scientific research and is managed by the University of California for the U.S. Department of Energy. »Learn more about computing sciences at Berkeley Lab.