Harnessing big data for health

Harnessing Big Data for Systems Pharmacology.

Systems pharmacology aims to holistically understand mechanisms of drug actions to support drug discovery and clinical practice. Systems pharmacology modeling (SPM) is data driven. It integrates an exponentially growing amount of data at multiple scales (genetic, molecular, cellular, organismal, and environmental). The goal of SPM is to develop mechanistic or predictive multiscale models that a...

Harnessing the heart of big data.

Harnessing Big Data for Precision Medicine: Infrastructures and Applications

Precision medicine is a health management approach that accounts for individual differences in genetic backgrounds and environmental exposures. With the recent advancements in high-throughput omics profiling technologies, collections of large study cohorts, and the developments of data mining algorithms, big data in biomedicine is expected to provide novel insights into health and disease state...

Harnessing Twitter "Big Data" for Automatic Emotion Identification

User generated content on Twitter (produced at an enormous rate of 340 million tweets per day) provides a rich source for gleaning people’s emotions, which is necessary for deeper understanding of people’s behaviors and actions. Extant studies on emotion identification lack comprehensive coverage of “emotional situations” because they use relatively small training datasets. To overcome this bot...

Leveraging Digital Innovation in Healthcare: harnessing Big Data, Cloud and Mobile Computing for Better Health

Harnessing digital innovations for healthcare delivery has raised high expectations as well as major concerns. Several countries across the globe have made progress in achieving three common goals of lower costs, higher quality, and increased patient access to healthcare services through investments in digital infrastructures. New technologies are leveraged to achieve widespread 24x7 disease ma...