Top Five Reasons Big Data Is Advancing Personalized Medicine

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Reproducibility within and between clinicians

Reproducing testing results in the clinic is very important. Each clinician should be able to produce the same diagnosis from day to day and diagnoses should be the same between clinicians. By using Big Data generated from clinical samples and testing, consistently reproducible test results are possible between clinicians and doctors for more accurate diagnosis and appropriate spending on therapy options.

Big Data as it pertains to health care has emerged at the center of the revolution in personalized medicine. Simply put, the proliferation of data offers great possibilities for more precise diagnosis, as researchers are able to drill down to see what’s happening and create more targeted therapies, specifically at the molecular and tissue levels.

In this slideshow, Thomas Heydler, CEO of Definiens, a leading provider of image analysis and data mining solutions for quantitative digital pathology in the life sciences, diagnostic biomarkers and health care industries, explores the top five reasons Big Data is advancing personalized medicine as we know it.


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