For more than a century, the dominant model has been reactive: diagnose disease once symptoms arise, then apply treatments designed to manage or suppress them. But a new model-predictive, personalized, and data-driven-is rapidly emerging. This shift is propelled by the invention of new technologies that have introduced a radically different way of understanding health by integrating massive longitudinal datasets with artificial intelligence, imaging, and biomarker analysis. In doing so, it heralds the beginning of a fundamental redesign of the healthcare system itself.
Jeffrey S Bland (Mon,) studied this question.