{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T06:05:24Z","timestamp":1790057124585,"version":"4.0.1"},"reference-count":45,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T00:00:00Z","timestamp":1790035200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Digit. Health"],"abstract":"<jats:p>This paper introduces SOMA, a conceptual preventive health governance framework for adaptive, consumer-facing digital health guidance, designed to support everyday preventive health self-governance. Non-communicable and lifestyle-sensitive chronic diseases account for the majority of global mortality, yet existing consumer-facing digital health tools rarely provide coherent, governed preventive guidance that integrates multimodal personal health data, scientific evidence, user-defined goals, real-world feasibility, relational support, and explicit safety constraints within a unified architecture. SOMA conceptualizes preventive health self-governance as the iterative, user-governed process through which individuals interpret their evolving health state, define goals and feasibility constraints, receive evidence-informed guidance, and act within boundaries that reduce the risk of unsafe or inappropriate digital health guidance. The framework theorizes an architecture of five interdependent components: a Digital Twin Core synthesizing a multimodal Health State Vector across biological, wearable, subjective, behavioral, and contextual layers; a Scientific Intelligence Core evaluating evidence quality, uncertainty, and applicability; a Relational Avatar Core supporting disclosure, trust calibration, and user-facing communication; a Personal Health Governance Profile embedding user-defined goals, feasibility constraints, and autonomy preferences; and a Continuous Learning Engine updating the model based on outcomes, evidence, and user feedback, all bounded by non-negotiable Safety and Medical Escalation Boundaries. The theoretical contribution lies in integrating previously siloed approaches (digital health twin logic, evidence-weighted scientific intelligence, relational guidance, behavioral self-governance theory, and personal health governance) into a unified preventive architecture whose governance properties emerge from the structured interdependence of its components. Five testable hypotheses are derived from the architecture to guide a staged empirical validation programme. SOMA is a conceptual framework that has not been empirically validated and makes no claims regarding clinical effectiveness, disease prevention, or deployment readiness.<\/jats:p>","DOI":"10.3389\/fdgth.2026.1902578","type":"journal-article","created":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T05:40:38Z","timestamp":1790055638000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["SOMA: a preventive health governance framework for adaptive, consumer-facing digital health guidance"],"prefix":"10.3389","volume":"8","author":[{"given":"Michael Robert","family":"Mueller","sequence":"first","affiliation":[{"name":"Bratislava University of Economics and Management (BUEM)","place":["Bratislava, Slovakia"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,22]]},"reference":[{"key":"B1","volume-title":"World Health Statistics 2022: Monitoring Health for the SDGs","year":"2022"},{"key":"B2","first-page":"3","article-title":"A framework for implementing disease prevention and behavior change evidence at scale","volume-title":"The Role of Digital Health Policy and Leadership. 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