{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T05:57:21Z","timestamp":1790575041481,"version":"4.1.0"},"reference-count":28,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T00:00:00Z","timestamp":1790553600000},"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. Nutr."],"abstract":"<jats:p>Cardiometabolic diseases remain a primary global health challenge, with nutritional interventions serving as a critical pillar of management. However, the rapidly expanding volume of nutritional research, spanning high-dimensional multiomics, real-world continuous monitoring, and highly heterogeneous clinical trials, has created fragmented knowledge silos, leading to a profound translation lag between scientific discovery and clinical practice. To overcome this methodological bottleneck, we propose a conceptual framework for an \u201cAI-Driven Evidence Ecosystem.\u201d This perspective outlines a four-phase closed-loop architecture: (1) AI-assisted mechanistic decoding of multiomics and the development of digital gut twins; (2) data-optimized clinical research integrating traditional trials with real-world digital biomarkers; (3) a methodologically agnostic, multi-agent living evidence synthesis engine capable of automating complex data extraction and mitigating the translation gap; and (4) the deployment of conversational AI for public knowledge translation and personalized patient empowerment. By addressing concurrent ethical challenges, algorithmic biases, and the risk of researcher de-skilling, this ecosystem paradigm leverages artificial intelligence not merely as an automation tool, but as an indispensable bridge. Ultimately, it transforms isolated, stagnant data into a dynamic, translatable evidence network, reshaping the future of precision cardiometabolic care.<\/jats:p>","DOI":"10.3389\/fnut.2026.1924184","type":"journal-article","created":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T05:45:24Z","timestamp":1790574324000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["An AI-driven evidence ecosystem for cardiometabolic nutrition: bridging the gap from multiomics to patient empowerment"],"prefix":"10.3389","volume":"13","author":[{"given":"Qingyong","family":"Zheng","sequence":"first","affiliation":[{"name":"Evidence-Based Medicine Center, School of Basic Medical Science, Lanzhou University","place":["Lanzhou, China"]},{"name":"Key Laboratory of Evidence-Based Medicine of Gansu Province","place":["Lanzhou, China"]},{"name":"Duke-NUS Medical School, National University of Singapore","place":["Singapore, Singapore"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianguo","family":"Xu","sequence":"additional","affiliation":[{"name":"Evidence-Based Medicine Center, School of Basic Medical Science, Lanzhou University","place":["Lanzhou, China"]},{"name":"Key Laboratory of Evidence-Based Medicine of Gansu Province","place":["Lanzhou, China"]},{"name":"Population Health Research Institute","place":["Hamilton, Canada"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tengfei","family":"Li","sequence":"additional","affiliation":[{"name":"Chinese Academy of Medical Sciences & Peking Union Medical College","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Liu","sequence":"additional","affiliation":[{"name":"Lee Kong Chian School of Medicine, Nanyang Technological University","place":["Singapore, Singapore"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongjia","family":"Zhou","sequence":"additional","affiliation":[{"name":"Evidence-Based Medicine Center, School of Basic Medical Science, Lanzhou University","place":["Lanzhou, China"]},{"name":"Key Laboratory of Evidence-Based Medicine of Gansu Province","place":["Lanzhou, China"]},{"name":"Lee Kong Chian School of Medicine, Nanyang Technological University","place":["Singapore, Singapore"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Tian","sequence":"additional","affiliation":[{"name":"Evidence-Based Medicine Center, School of Basic Medical Science, Lanzhou University","place":["Lanzhou, China"]},{"name":"Key Laboratory of Evidence-Based Medicine of Gansu Province","place":["Lanzhou, China"]},{"name":"Department of Pharmacy, Gansu Provincial Hospital","place":["Lanzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaojuan","family":"Huo","sequence":"additional","affiliation":[{"name":"Department of Orthopedics, Lanzhou University Second Hospital","place":["Lanzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Pediatric Gastroenterology, Gansu Province Maternity and Child Health Hospital, Gansu Province Central Hospital, Lanzhou","place":["Gansu, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinhui","family":"Tian","sequence":"additional","affiliation":[{"name":"Evidence-Based Medicine Center, School of Basic Medical Science, Lanzhou University","place":["Lanzhou, China"]},{"name":"Key Laboratory of Evidence-Based Medicine of Gansu Province","place":["Lanzhou, China"]},{"name":"Research Unit of Evidence-Based Evaluation and Guidelines, Chinese Academy of Medical Sciences","place":["Lanzhou, 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