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This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multimodal, multiscale data for emerging realworld applications in life science.The cuttingedge topics presented include biosurveillance, disease outbreak detection, high throughput bioimaging, drug screening, predictive toxicology, biosensors, and the integration of macroscale biosurveillance and environmental data with microscale biological data for personalized medicine. This collection of works from leading researchers in the field offers readers an exceptional start in these areas.
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