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Making use of big data can generate useful insights and improve healthcare. Biomedical informatics and data science help to translate data into actionable insights, which can in turn accelerate scientific discovery, improve care for individual patients, and impact the health of entire populations. These disciplines can intersect with the computational, quantitative, health, life, social, and behavioural sciences in formidable ways. In the context of Precision Medicine, often referred to as Personalized Medicine, the use of biomedical informatics and data science theories, methods, and tools have become increasingly critical. This is particularly true as we seek to advance our collective understanding of how bio-molecules, clinical features, and environmental factors correlate with disease risk, diagnoses, and the planning of treatment - and, perhaps even more importantly, how these features correlate with the maintenance of health before the onset of disease. Recent advances in artificial intelligence, machine learning, mobile computing, sensors, and human-computer interaction are extending the scope of data and analytical methods in ways that better enable the delivery of Precision Medicine. This has only amplified the unique and central role played by biomedical informatics in improving the health of entire populations.

Data Into Action


Precision/Personalized Medicine