News-Medical.Net November 20, 2021
Reviewed by Emily Henderson, B.Sc.

Precision medicine requires big data. In order to improve the treatment of individuals with cancer, or to understand rare diseases, scientists and clinicians, as well as AI technologies require access to larger sets of health research data that covers diverse populations and wide ranges of conditions. For AI, more data means a better understanding of diseases, which will lead to more accurate diagnosis and treatment. At the same time, each hospital will only see a relatively small number of individuals with a disease, and even across the province, we have access to only a small portion of the total data available worldwide. To build the large-scale datasets needed to drive forward precision medicine, sharing of data across the country and...

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