Machine Learning

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$2M NSF grant harnesses big data & AI to advance disease prevention

Team to develop tools to map areas at risk of zoonotic disease outbreaks with new NSF grant

The Cary Institute teams with IBM Research to address Zika

When the Zika virus arrived in Brazil, it went largely unnoticed until infected infants were born with microcephaly, a neurological disorder marked by a small head caused by severe underdevelopment of brain tissue in utero. As the number of Zika-affected babies grew, the World Health Organization moved quickly to declare Zika virus a public health emergency of international concern.

mosquito

Zika may be spread by 35 mosquito species, says study

Zika virus could be transmitted by 35 mosquito species, including 26 previously unsuspected ones, according to a new predictive model created by scientists.

Predicting disease: Tracking probabilities

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Two-thirds of the diseases which infect humans are thought to originate from animals. Is it possible to predict where new disease outbreaks may occur in the future?

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Machine Learning to Predict Zoonotic Disease

Why do the majority of human infectious diseases originate from wildlife? Our lab seeks to identify intrinsic characteristics of wild species (e.g., life history, ecological, physiological traits) that signal their potential to be future reservoirs of zoonotic diseases (human diseases with animal origins).

Cary Institute of Ecosystem Studies | Millbrook, New York 12545 | Tel (845) 677-5343

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