The data is big. Its potential to find cures: even bigger.
At Johns Hopkins Medicine in Baltimore, scientists and physicians are collecting and tapping vast amounts of data from clinical care, genomics – even wearable devices – to better predict disease progression and pinpoint individual treatments. (more…)
IBM teams up with Johns Hopkins University and UC San Francisco to help public health officials model, predict and track the possible spread of infectious diseases
SAN JOSE, Calif., – 30 Sep 2013: Scientists from IBM are collaborating with Johns Hopkins University and University of California, San Francisco to combat illness and infectious diseases in real-time with smarter data tools for public health. The focus is to help contain global outbreaks of dengue fever and malaria by applying the latest analytic models, computing technology and mathematical skills on an open-source framework.
Vector-borne diseases, like malaria and dengue fever, are infections transmitted to humans and other animals by blood-feeding insects, such as mosquitoes, ticks and fleas. (more…)
