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3篇 您的检索式:作者名="Zekai Liang"
    题名 作者 年代 出处 被引量
1Outcome of aggressive B-cell lymphoma with TP53 alterations administered with CAR T-cell cocktail alone or in combination with ASCT显示文摘TP53 gene alteration confers inferior prognosis in refractory/relapse aggressive B-cell non-Hodgkin lymphoma(r/r B-NHL).From September 2016 to September 2020,257 r/r B-NHL patients were assessed for eligibility for two trials in our center,assessing anti-CD19 and anti-CD22 chimeric antigen receptor(CAR19/22)T-cell cocktail treatment alone or in combination with autologous stem cell transplantation(ASCT).TP53 alterations were screened in 123 enrolled patients and confirmed in 60.CAR19/22 T-cell administration resulted in best objective(ORR)and complete(CRR)response rate of 87.1%and 45.2%in patients with TP53 alterations.Jia Wei Min Xiao Zekai Mao Na Wang Yang Cao Yi Xiao Fankai Meng Weimin Sun Ying Wang Xingcheng Yang Liting Chen Yicheng Zhang Haichuan Zhu Shangkun Zhang Tongcun Zhang Jianfeng Zhou Liang Huang 2022Signal Transduction and Targeted Therapy2022,7,5:2
2Recent advances in wireless epicortical and intracortical neuronal recording systems显示文摘An implantable brain-computer interface(BCI)has proven to be effective in the field of sensory and motor function restoration and in the treatment of neurological disorders.Using a BCI recording system,we can transform current methods of human interaction with machines and the environment,especially to help those with cognitive and mobility disabilities regain mobility and reintegrate into society.However,most reported work has focused on a simple aspect of the whole system,such as electrodes,circuits,or data transmission,and only a very small percentage of systems are wireless.A miniature,lightweight,wireless,implantable microsystem is key to realizing long-term,real-time,and stable monitoring on freely moving animals or humans in their natural conditions.Here,we summarize typical wireless recording systems,from recording electrodes,processing chips and controllers,wireless data transmission,and power supply to the system-level package for either epicortical electrocorticogram(ECoG)or intracortical local field potentials(LFPs)/spike acquisition,developed in recent years.Finally,we conclude with our vision of challenges in next-generation wireless neuronal recording systems for chronic and safe applications.Bowen JI Zekai LIANG Xichen YUAN Honglai XU Minghao WANG Erwei YIN Zhejun GUO Longchun WANG Yuhao ZHOU Huicheng FENG Honglong CHANG Jingquan LIU 2022Science China(Information Sciences)2022,65,4:2
3Smart epidermal electrophysiological electrodes:Materials,structures,and algorithms显示文摘Epidermal electrophysiological monitoring has garnered significant attention for its potential in medical diagnosis and healthcare,particularly in continuous signal recording.However,simultaneously satisfying skin compliance,mechanical properties,environmental adaptation,and biocompatibility to avoid signal attenuation and motion artifacts is challenging,and accurate physiological feature extraction necessitates effective signal-processing algorithms.This review presents the latest advancements in smart electrodes for epidermal electrophysiological monitoring,focusing on materials,structures,and algorithms.First,smart materials incorporating self-adhesion,self-healing,and self-sensing functions offer promising solutions for long-term monitoring.Second,smart meso-structures,together with micro/nanostructures endowed the electrodes with self-adaption and multifunctionality.Third,intelligent algorithms give smart electrodes a“soul,”facilitating faster and more-accurate identification of required information via automatic processing of collected electrical signals.Finally,the existing challenges and future opportunities for developing smart electrodes are discussed.Recognized as a crucial direction for next-generation epidermal electrodes,intelligence holds the potential for extensive,effective,and transformative applications in the future.Yuanming Ye Haochao Wang Yanqiu Tian Kunpeng Gao Minghao Wang Xuanqi Wang Zekai Liang Xiaoli You Shan Gao Dian Shao Bowen Ji 2023Nanotechnology and Precision Engineering2023,6,4:0
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