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NFC/RFID-enabled wearables and implants for biomedical applications
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作者 Haochen Zou Zhibo Zhou +7 位作者 Mengyao Huang Wenhao Li Bowen Yang Xiao Zhao Ting Li Lijie Xu Ting Wang Lianhui Wang 《Microsystems & Nanoengineering》 2025年第5期55-77,共23页
Near Field Communication(NFC)and Radio Frequency Identification(RFID)technologies offer wireless data transmission and energy supply for flexible wearable and implantable sensing systems.By eliminating bulky batteries... Near Field Communication(NFC)and Radio Frequency Identification(RFID)technologies offer wireless data transmission and energy supply for flexible wearable and implantable sensing systems.By eliminating bulky batteries or external wiring,these technologies significantly advance personalized medicine through wearable and implantable systems with reduced size,increased flexibility,and improved mechanical adaptability to the human body.This multidisciplinary research area encompasses the fundamental mechanisms of antenna theory,simulation&design,micro/nano-fabrication,and their biomedical applications.This review provides an overview of emerging wireless,personalized/decentralized biomedical devices focusing on NFC/RFID antennas design mechanisms,flexible NFC/RFID-based physical,chemical,and biosensors,as well as drug delivery implants.Moreover,challenges and future directions regarding flexible NFC/RFID-based systems are provided.Advancing this field will require collaborative efforts from researchers in antenna design,materials science,biology,and medical care,driving the development of NFC/RFID in biomedical applications. 展开更多
关键词 multidisciplinary research energy supply wearable implantable systems external wiringthese radio frequency identification rfid technologies wearable implantable sensing systemsby wireless data transmission near field communication nfc
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Balancing AI and human insights in scientific discovery:Challenges and guidelines
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作者 Ricardo Vinuesa Pilar Manchón +1 位作者 Sergio Hoyas Javier García-Martínez 《The Innovation》 2026年第2期18-19,共2页
Recent advances in large language models(LLMs)have enabled machines to integrate web search,code execution,data analysis,decision-making,and even laboratory experimentation,as done in chemical discovery using the“co-... Recent advances in large language models(LLMs)have enabled machines to integrate web search,code execution,data analysis,decision-making,and even laboratory experimentation,as done in chemical discovery using the“co-scien-tist.”^(1)This artificial-intelligence(AI)-driven platform represents a pivotal moment in the evolution of systems.By using LLMs such as GPT-4 and Claude,co-scientists can autonomously design,plan,and execute complex chemical experiments based on simple natural-language prompts.Their capability lies in the ability to interpret plain-language requests. 展开更多
关键词 scientific discovery AI laboratory experimentationas chemical discovery large language models llms chemical experiments evolution systemsby web searchcode
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