Furthermore, the generation of supermassive data sets and their correlation/cross referencing (using ai/machine learning) with metadata such as location allows for very valuable insights across all levels of population research that haven't even been thought of yet.
One example would be to compare central obesity app data for people in high social economic status areas (ie where rich people live) vs poorer areas, and also compare amounts of cholesterol lowering drugs or blood pressure drugs found in sewerage, alongside PBS prescription data for both areas. Getting a critical mass of users would open up so many doors of valuable research across so many fields.
Let's not forget big data overtook fossil fuels as the worlds most valuable industry recently.
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Anthony Noble, MD & CEO
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