Research graph
References from AI-Powered Framework for Personalized Prescription of Physical Activity in Aging: Proposing PEPHA, a framework for Personalized Phenotyping for Aging. Local targets link to admitted publications; unresolved targets remain external evidence.
Copenhagen Consensus statement 2019: physical activity and ageing
10.1136/bjsports-2018-100451 · External reference
Optimal dose and type of exercise to improve cognitive function in older adults: a systematic review and bayesian model-based network meta-analysis of RCTs
10.1016/j.arr.2022.101591 · External reference
Molecular mechanisms of physical exercise on depression in the elderly: a systematic review
10.1007/s11033-021-06330-z · External reference
World Health Organization 2020 guidelines on physical activity and sedentary behaviour
10.1136/bjsports-2020-102955 · External reference
Variability in reaction time performance of younger and older adults
10.1093/geronb/57.2.p101 · External reference
Intraindividual variability is a fundamental phenomenon of aging: evidence from an 8-year longitudinal study across young, middle, and older adulthood
10.1037/a0032650 · External reference
Translating research to promote healthy aging: the complementary role of longitudinal studies and clinical trials
10.1111/j.1532-5415.2010.02938.x · External reference
Enhancing cognitive health in elderly individuals: the impact of Hatha yoga on attention, memory, and reasoning: a randomized controlled trial
10.1155/jare/9990963 · External reference
10.1007/978-3-030-94212-0
10.1007/978-3-030-94212-0 · External reference
Machine learning applications for in-school physical activity data using IMUs in children and adolescents: a systematic review for health promotion
10.1177/21501319261431024 · External reference
Associations of 24-h movement behaviour with overweight and obesity among school-aged children and adolescents in Pakistan: an empirical cross-sectional study
10.1111/ijpo.13208 · External reference
A comparison of tablet computer and paper-based questionnaires in healthy aging research
10.2196/resprot.3291 · External reference
Reliability and validity of ambulatory cognitive assessments
10.1177/1073191116643164 · External reference
The comprehensive clinical benefits of digital phenotyping: from broad adoption to full impact
10.1038/s41746-025-01602-5 · External reference
From steps to context: optimizing digital phenotyping for physical activity monitoring in older adults by integrating wearable data and ecological momentary assessment
10.3390/s25030858 · External reference
Digital phenotyping by wearable-driven artificial intelligence in older adults and people with Parkinson’s disease: protocol of the mixed method, cyclic ActiveAgeing study
10.1371/journal.pone.0275747 · External reference
Data from the All of Us research program reinforces existence of activity inequality
10.1038/s41746-024-01358-4 · External reference
Applying AI in the context of the association between device-based assessment of physical activity and mental health: systematic review
10.2196/59660 · External reference
Artificial intelligence-powered social robots for promoting physical activity in older adults: a systematic review
10.1016/j.jshs.2025.101045 · External reference
Physical activity and brain health
10.3390/genes10090720 · External reference
Using artificial intelligence for exercise prescription in personalised health promotion: a critical evaluation of OpenAI’s GPT-4 model
10.5114/biolsport.2024.133661 · External reference
Comprehensiveness, accuracy, and readability of exercise recommendations provided by an AI-based chatbot: mixed methods study
10.2196/51308 · External reference
Individual cardiorespiratory fitness exercise prescription for older adults based on a back-propagation neural network
10.3389/fpubh.2025.1546712 · External reference
Digital biomarkers: redefining clinical outcomes and the concept of meaningful change
10.1002/trc2.70114 · External reference
Model-twin randomization (MoTR) for estimating the recurring individual treatment effect
10.1002/sim.70290 · External reference
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10.1145/3675094.3678425
10.1145/3675094.3678425 · External reference
MQOL Lab: step-by-step creation of a flexible platform to conduct studies using interactive, mobile, wearable and ubiquitous devices
10.1016/j.procs.2020.07.033 · External reference
10.1007/978-3-032-27582-0_12
10.1007/978-3-032-27582-0_12 · External reference
Digital biomarkers for brain health: passive and continuous assessment from wearable sensors
10.1038/s41746-026-02340-y · External reference
Trail Making Test A and B: normative data stratified by age and education
10.1016/s0887-6177(03)00039-8 · External reference
The hospital anxiety and depression scale
10.1111/j.1600-0447.1983.tb09716.x · External reference
Cognitive Reserve Index questionnaire (CRIq): a new instrument for measuring cognitive reserve
10.3275/7800 · External reference
Dietary patterns: a Mediterranean diet score and its relation to clinical and biological markers of cardiovascular disease risk
10.1016/j.numecd.2005.08.006 · External reference
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10.1145/3292500.3330701
10.1145/3292500.3330701 · External reference
Sex differences in cognitive trajectories in clinically normal older adults
10.1037/pag0000070 · External reference
Enhancing mental health and cognitive function in older adults: a Swiss perspective on public health interventions and stigma mitigation strategies informed by a desk review
10.5334/spo.81 · External reference
Sex differences in mental health among older adults: investigating time trends and possible risk groups with regard to age, educational level and ethnicity
10.1080/13607863.2020.1847248 · External reference
