Memristor-based Neuromorphic Diagnostic Systems: An Emerging Strategy for Intelligent Medicine

Memristor, as a nonlinear resistor with memory function, has shown broad application prospects in the biomedical field in recent years. The memristor have unique advantages, such as resistive switching characteristics, synaptic plasticity, high integration density, and low power consumption, making it have important potential applications in biosensing, intelligent electronic skin (e-skin), neuromorphic diagnosis and treatment system. This paper reviews the research progress of memristors in the biomedical field, focusing on their applications in biological signal detection, neuromorphic diagnosis and treatment, implantable medical devices, and brain–computer interfaces (BCI), and analyzes current technological challenges and future development trends. In particular, we propose some unique perspectives for applying memristor based diagnostic and therapeutic systems to the field of neuroscience, achieving real-time monitoring of brain signals and neuromorphic diagnosis. It can be foreseen that the memristor based neuromorphic chips will be an irreplaceable core component for the construction of neuromorphic diagnosis and treatment systems in neuroscience, effectively promoting the rapid development of intelligent medicine.

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Publication Details

Journal
ACS Nano Medicine
Published
2025-11-10
DOI
https://doi.org/10.1021/acsnanomed.5c00084
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46
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article

Memristor-based Neuromorphic Diagnostic Systems: An Emerging Strategy for Intelligent Medicine

Zelin Cao, Bo Yang, Bai Tao Sun, Linfeng Sun et al.
2 citations
ACS Nano Medicine
Advanced Memory and Neural Computing
1.46
article

Memristor-based Neuromorphic Diagnostic Systems: An Emerging Strategy for Intelligent Medicine

Zelin Cao, Bo Yang, Bai Tao Sun, Linfeng Sun, Guangdong Zhou, Junchao Zhang, Xiangming Li, Chuan Yang, Xiaoliang Chen, Jinyou Shao
article en
2 citations

Abstract

Memristor, as a nonlinear resistor with memory function, has shown broad application prospects in the biomedical field in recent years. The memristor have unique advantages, such as resistive switching characteristics, synaptic plasticity, high integration density, and low power consumption, making it have important potential applications in biosensing, intelligent electronic skin (e-skin), neuromorphic diagnosis and treatment system. This paper reviews the research progress of memristors in the biomedical field, focusing on their applications in biological signal detection, neuromorphic diagnosis and treatment, implantable medical devices, and brain–computer interfaces (BCI), and analyzes current technological challenges and future development trends. In particular, we propose some unique perspectives for applying memristor based diagnostic and therapeutic systems to the field of neuroscience, achieving real-time monitoring of brain signals and neuromorphic diagnosis. It can be foreseen that the memristor based neuromorphic chips will be an irreplaceable core component for the construction of neuromorphic diagnosis and treatment systems in neuroscience, effectively promoting the rapid development of intelligent medicine.

ACS Nano MedicineVol. 1(1)
Beijing Institute of Technology (CN), Southwest University (CN), Wuhan University (CN), Frontier Science Foundation (CH), Shanghai Center for Brain Science and Brain-Inspired Technology (CN), Institute of Science and Technology, Xi'an Jiaotong University (CN)
Openalex Percentile: Top 14%
Advanced Memory and Neural Computing
1.46
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