Press/Media: Newspaper Article
AI is becoming a powerful research tool in environmental health. “I see it as a catalyst for innovation within the environmental health sciences that can help us address many unsolved challenges around how best to utilize large and complex data sets,” says Rick Woychik, acting director of the National Institute of Environmental Health Sciences (NIEHS). “Ideally, AI can help us propose new hypotheses or come up with effective solutions for difficult problems.”
Environmental health scientists are already using AI to search the literature for useful information, model the effects of pollutants in cells and tissues, and assess air quality on the basis of remote sensing data. According to Nicole Kleinstreuer, acting director of the National Toxicology Program (NTP) Interagency Center for the Evaluation of Alternative Toxicological Methods, AI could eventually play a critical role in transcriptomic studies of cells’ protein-making machinery and assessments of the “exposome,” or totality of an individual’s chemical exposures over a lifetime.
Title | Into the Black Box: What Can Machine Learning Offer Environmental Health Research? |
---|---|
Degree of recognition | International |
Media name/outlet | Environmental Health Perspectives |
Primary Media type | |
Duration/Length/Size | 5 pages |
Country/Territory | United States |
Date | 26/02/20 |
Description | Now AI is becoming a powerful research tool in environmental health. “I see it as a catalyst for innovation within the environmental health sciences that can help us address many unsolved challenges around how best to utilize large and complex data sets,” says Rick Woychik, acting director of the National Institute of Environmental Health Sciences (NIEHS). “Ideally, AI can help us propose new hypotheses or come up with effective solutions for difficult problems.” Environmental health scientists are already using AI to search the literature for useful information, model the effects of pollutants in cells and tissues, and assess air quality on the basis of remote sensing data. According to Nicole Kleinstreuer, acting director of the National Toxicology Program (NTP) Interagency Center for the Evaluation of Alternative Toxicological Methods, AI could eventually play a critical role in transcriptomic studies of cells’ protein-making machinery and assessments of the “exposome,” or totality of an individual’s chemical exposures over a lifetime. |
Producer/Author | US NIEHS |
Persons | Paul Whaley, Crispin Halsall |