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The accelerating digital health landscape, coupled with the proliferation of wearable devices and advanced neuroimaging, offers an unprecedented avenue to develop precision interventions for enhancing physical activity in aging. This approach requires deep baseline phenotyping to match older adults with the intervention poised to yield maximal health benefits. However, building sufficient evidence to translate precision physical activity recommendations into clinical practice requires a collaborative effort that includes accessible open data. We propose a strategic roadmap to design and implement personalized programs, effectively decreasing physical inactivity and bolstering adherence among older adults.
