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Editorial
Discusses the paradigm shift in healthcare towards predictive, personalized lifestyle medicine driven by AI and longitudinal datasets.
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.
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Jeffrey S Bland (2025) studied this question.
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