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Symbiopersonal intelligence towards symbiotic and personalized digital medicine 被引量:1
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作者 alfred mensah Qiwen Bao +3 位作者 Zhaonan Zhang Ya Chen Qing Jiang Pingqiang Cai 《Fundamental Research》 2025年第4期1423-1428,共6页
In this perspective,we introduce the concept of Symbiopersonal Intelligence(SymAI)—a specialized form of artificial intelligence designed to facilitate and optimize symbiotic interactions between individuals and inte... In this perspective,we introduce the concept of Symbiopersonal Intelligence(SymAI)—a specialized form of artificial intelligence designed to facilitate and optimize symbiotic interactions between individuals and intelligent devices in digital medicine.SymAI represents a new frontier in personalized intelligent systems,adaptively learning from and catering to individual needs and behaviors.We explore its emergence and potential implementation in both personal and public healthcare,encompassing telemedicine,precision medicine,surgical assistance,chronic disease management,and policy optimization.Key technological frameworks and hardware enablers are outlined,with a particular emphasis on multimodal data retrieval,transmission,and processing,as well as personalized interventions delivered via wearable and implantable devices.By integrating artificial intelligence into sensor technologies and addressing barriers in flexible electronics,SymAI holds the potential to revolutionize digital health,offering more responsive,tailored care and improved health outcomes. 展开更多
关键词 Artificial intelligence Healthcare Wearable devices Implantable devices Flexible electronics Advanced materials
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Therapeutic Smart Insole Technology with Archimedean Algorithmic Spiral Triboelectric Nanogenerator‑Based Power System and Sensors
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作者 alfred mensah Shiqin Liao +9 位作者 Jeremiah Amesimeku Jie Li Yajun Chen Yi Hao Jixing Yang Qingqing Wang Fenglin Huang Yun Liu Qufu Wei Pengfei Lv 《Advanced Fiber Materials》 SCIE EI CAS 2024年第6期1746-1764,共19页
Clinical diagnosis and early intervention employ pedobarometry,which analyzes gait,posture,and foot health.Athletes utilize smart insoles to track step count,distance,and other parameters to improve performance.Curren... Clinical diagnosis and early intervention employ pedobarometry,which analyzes gait,posture,and foot health.Athletes utilize smart insoles to track step count,distance,and other parameters to improve performance.Current sensor platforms are bulky and limited to indoor or clinical environments,despite the trend of developing specialized insoles for recuperation and therapy.Hence,we presented a fully flexible,typically portable,and multi-functional insole monitoring technology powered by Archimedean algorithmic spiral TENG-based power system strictly produced from biopolymers such as bacterial cellulose,conjugate-blend of polydimethylsiloxane(PDMS),poly(3,4-ethylenedioxythiophene):polystyrene sulfonate(PEDOT:PSS),and more.Along with exceptional mechanical and electrical performance[current density(JSC)≈40-50μA/cm2 and power density(PD)≈500-600μW/cm2],the smart insole system exhibited good sensor-human foot interfacial analysis results,proving to be capable of biomechanical analysis of gait,posture,and many other podiatry-related conditions,albeit being soft,portable,and having compatibility potential for IoT integration. 展开更多
关键词 Therapeutic smart insole Archimedean algorithmic spiral Triboelectric nanogenerator Pedobarometric sensors Biocompatible
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