Digital Health and Biological Sciences have entered an era of major data transformation spurred by the use of advanced analytics and related technologies. Data-driven translational research, population health management, and precision medicine have served as the catalyst for this transformation. With access to massive amounts of structured and unstructured patient data across a wide range of data sources, data science can aid in diagnosing patient conditions, developing new therapeutics, matching treatment with best outcomes, and predicting patients’ risk levels for disease. In a “learning healthcare system,” the availability of millions of patient records means that predictive analytics can identify comparable physical symptoms in patients who are the same age, gender, ethnicity, and who display similar responses to a specific medication.
By analyzing vast data sets across different systems, data science can inform healthcare decisions and transform basic and translational biomedical research. Furthermore, cutting edge data science can also be used to understand and predict marine ecosystems and their use in the discovery of new drugs. The University of Miami is well positioned to harness the power of data of millions of patients—combining the most impressive academic programs with one of the most extensive health care systems in all of south Florida.