{"title":"Emerging Trends and Future Directions in Adolescent Growth, Development, and Metabolism Research.","authors":"Quanyou Shi, Ming Xu","doi":"10.1007/978-981-95-7000-3_8","DOIUrl":null,"url":null,"abstract":"<p><p>Adolescence is a pivotal stage of biopsychosocial transformation involving rapid growth, hormonal shifts, and metabolic adaptation. However, rising obesity rates are threatening children and adolescents worldwide. Healthy growth relies on a synergistic equilibrium between developmental and metabolic homeostasis, regulated by multi-level networks. This chapter outlines key technical challenges and proposes an AI-driven ecosystem integrating multimodal data fusion, dynamic modeling, and pathological simulation to decode these networks. With the integration of life sciences, data science, and engineering technologies, this approach aims to shift pediatric health care from disease treatment to proactive metabolic optimization, supporting children's full growth potential.</p>","PeriodicalId":7270,"journal":{"name":"Advances in experimental medicine and biology","volume":"1505 ","pages":"161-163"},"PeriodicalIF":0.0000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in experimental medicine and biology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/978-981-95-7000-3_8","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0
Abstract
Adolescence is a pivotal stage of biopsychosocial transformation involving rapid growth, hormonal shifts, and metabolic adaptation. However, rising obesity rates are threatening children and adolescents worldwide. Healthy growth relies on a synergistic equilibrium between developmental and metabolic homeostasis, regulated by multi-level networks. This chapter outlines key technical challenges and proposes an AI-driven ecosystem integrating multimodal data fusion, dynamic modeling, and pathological simulation to decode these networks. With the integration of life sciences, data science, and engineering technologies, this approach aims to shift pediatric health care from disease treatment to proactive metabolic optimization, supporting children's full growth potential.
期刊介绍：
Advances in Experimental Medicine and Biology provides a platform for scientific contributions in the main disciplines of the biomedicine and the life sciences. This series publishes thematic volumes on contemporary research in the areas of microbiology, immunology, neurosciences, biochemistry, biomedical engineering, genetics, physiology, and cancer research. Covering emerging topics and techniques in basic and clinical science, it brings together clinicians and researchers from various fields.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
