Zhengzhi Wu

Shenzhen Second People's Hospital

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Chunbao Wang

First Affiliated Hospital of Xi'an Jiaotong University

Lihong Duan

First Hospital of Shijiazhuang

Quanquan Liu

Shenzhen Second People's Hospital

Weiguang Li

Harbin Institute of Technology

Yajing Shen

Quzhou University

Yulong Wang

Shenzhen Second People's Hospital

Tongyang Sun

South China University of Technology

Yinghong Li

Chinese Academy of Medical Sciences & Peking Union Medical College

Kehuan Sun

Jinan University

Jianjun Long

Shenzhen Second People's Hospital

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Shenzhen Second People's Hospital

102

Shenzhen University

Chinese Academy of Sciences

Jinan University

Huazhong University of Science and Technology

Sun Yat-sen University

Chinese Academy of Medical Sciences & Peking Union Medical College

Sichuan University

Shanghai Jiao Tong University

South China University of Technology

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A survey of artificial intelligence in tongue image for disease diagnosis and syndrome differentiation

Digital Health (2023)

Qi Liu Yan Li Yang Peng Quanquan Liu Chunbao Wang

The rapid development of artificial intelligence technology has gradually extended from the general field to all walks of life, and intelligent tongue diagnosis is the product of a miraculous connection between this new discipline and traditional disciplines. We reviewed the deep learning methods and machine learning applied in tongue image analysis that have been studied in the last 5 years, focusing on tongue image calibration, detection, segmentation, and classification of diseases, syndromes, and symptoms/signs. Introducing technical evolutions or emerging technologies were applied in tongue image analysis; as we have noticed, attention mechanism, multiscale features, and prior knowledge were successfully applied in it, and we emphasized the value of combining deep learning with traditional methods. We also pointed out two major problems concerned with data set construction and the low reliability of performance evaluation that exist in this field based on the basic essence of tongue diagnosis in traditional Chinese medicine. Finally, a perspective on the future of intelligent tongue diagnosis was presented; we believe that the self-supervised method, multimodal information fusion, and the study of tongue pathology will have great research significance.

10.1177/20552076231191044

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Citations (10)

Exact deconfined gauge structures in the higher-spin Yao-Lee model: a quantum spin-orbital liquid with spin fractionalization and non-Abelian anyons

arXiv (Cornell University) (2024)

Zhengzhi Wu Jingyun Zhang Hong Yao

The spin-S Kitaev model has recently been shown to definitely exhibit topological order with spin liquid ground states for half-integer spin, but could be trivially gapped insulators for integer spin. This interesting "even-odd" effect is largely due to the fermionic (bosonic) $\mathbb{Z}_2$ gauge charges for half-integer (integer) spin. In this Letter, we theoretically show that a spin-S Yao-Lee model (a spin-orbital model with SU(2) spin-rotation symmetry) possesses exact deconfined fermionic $\mathbb{Z}_2$ gauge charges for any spin (both integer and half integer spin), which implies a topologically-nontrivial quantum spin-orbital liquid (QSOL) ground state regardless of the value of the spin quantum number. We further study the easy-axis limit of the spin-1 Yao-Lee model which can be solved in a controlled perturbative way and show that it exhibits a gapless QSOL ground state, which can even host a non-Abelian topological order by further considering time-reversal breaking interactions to gap out the Dirac cones of the gapless QSOL.

Spin quantum number

Quantum number

10.48550/arxiv.2404.07261

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Citations (0)

Drug Toxicity Evaluation Based on Organ-on-a-chip Technology: A Review

Micromachines (2020)

Cong Ye Xiahe Han Youping Wang Zongzheng Chen Yao Lu

Organ-on-a-chip academic research is in its blossom. Drug toxicity evaluation is a promising area in which organ-on-a-chip technology can apply. A unique advantage of organ-on-a-chip is the ability to integrate drug metabolism and drug toxic processes in a single device, which facilitates evaluation of toxicity of drug metabolites. Human organ-on-a-chip has been fabricated and used to assess drug toxicity with data correlation with the clinical trial. In this review, we introduced the microfluidic chip models of liver, kidney, heart, nerve, and other organs and multiple organs, highlighting the application of these models in drug toxicity detection. Some biomarkers of toxic injury that have been used in organ chip platforms or have potential for use on organ chip platforms are summarized. Finally, we discussed the goals and future directions for drug toxicity evaluation based on organ-on-a-chip technology.

Organ-on-a-Chip

Drug toxicity

Drug Development

Microfluidic chip

10.3390/mi11040381

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Citations (110)

Effect of Tiantai No.1 (天泰1号) on β-amyloid-induced neurotoxicity and NF-κ B and cAMP responsive element-binding protein

Chinese Journal of Integrative Medicine (2008)

Zhengzhi Wu Andrew C. Huang Jean de Vellis Yinghong Li

Neurotoxicity

Amyloid (mycology)

10.1007/s11655-008-0286-y

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Citations (3)

Mechanism design of an ankle robot MKA-III for rehabilitation training

Chunbao Wang Zhijiang Lu Lihong Duan Quanquan Liu Tongyang Sun

With the development of aging society, the number of hemiplegia patients grows rapidly and over 75% of survivors suffering hemiplegia need rehabilitation training. To assist therapists, series of rehabilitation training robots were carried out. However, most of current researches are only focusing on function training. They ignore the importance of neurological rehabilitation in early phrase of hemiplegia. Early rehabilitation takes a fundamental position in neurological rehabilitation and whole-body rehabilitation. To fulfill all of those requirements, MKA series have been developed. During the experiment, there is some problems including unreliable transmission and dehumanization design. For these reasons, in this paper, we propose the MKA-III. Based on physiological structure and rehabilitation theory, the mechanism was design. In this paper, the detail design of the mechanism is introduced. The mechanical structure includes four parts, adduction/abduction parts, dorsiflexion/plantar flexion parts, inversion/eversion parts and sensing unit. Each part of ankle rehabilitation robot was introduced in detail. In addition, for the motor control and information acquisition, the hard system is introduced.

10.1109/cyber.2016.7574837

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Citations (3)

Development of lower limb rehabilitation evaluation system based on virtual reality technology

2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) (2016)

Shihui Shen Chang Gao Yong Zhao Haojian Lu Yajing Shen

Nowadays, with the development of the proportion of the elderly population in the world, several problems caused by the population aging gradually into people's horizons. One of the biggest problems plagued the vast majority of the elderly is hemiplegia, which leads to the vigorous development of the physical therapists. However, these traditional methods of physical therapy mainly rely on the skill of the physical therapists. In order to make up the defects of traditional methods, many research groups have developed different kinds of robots for lower limb rehabilitation training but most of them can only realize passive training which cannot adopt rehabilitation training based on the patients' individual condition effectively and they do not have a rehabilitation evaluation system to assess the real time training condition of the hemiplegic patients effectively. In order to solve the problems above, this paper proposed a lower limb rehabilitation evaluation system which is based on the virtual reality technology. This system has an easy observation of the human-computer interaction interface and the doctor is able to adjust the rehabilitation training direct at different patients in different rehabilitation stage based on this lower limb rehabilitation evaluation system. Compared with current techniques, this novel lower limb rehabilitation evaluation system is expected to have significant impacts in medical rehabilitation robot field.

10.1109/rcar.2016.7784083

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Citations (3)

Correction: Design, synthesis, and evaluation of bitopic arylpiperazine-phthalimides as selective dopamine D₃ receptor agonists

MedChemComm (2018)

Yongkai Cao Ningning Sun Jiumei Zhang Zhiguo Liu Yizhe Tang

Correction for 'Design, synthesis, and evaluation of bitopic arylpiperazine-phthalimides as selective dopamine D₃ receptor agonists' by Yongkai Cao et al., Med. Chem. Commun., 2018, DOI: 10.1039/c8md00237a.

Phthalimides

10.1039/c8md90042f

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Citations (1)

Study on synthesis and properties of nanoparticles loaded with amaryllidaceous alkaloids

Open Life Sciences (2017)

Lihong Duan Meng Li Chunbao Wang Qingmei Wang Quanquan Liu

Abstract Alzheimer’s disease (AD) is the most common disease among the elderly people and a major social and medical problem. Amaryllidaceous alkaloids, acting as acetylcholinesterase inhibitors, represent a potential treatment of AD. However, they also have some deficiencies, such as extensive toxicity and widespread side effects. In order to improve the bioavailability and reduce the toxic and side effects, brain targeting of amaryllidaceous alkaloids was enhanced by considering low density lipoprotein (LDL) receptors of blood-brain barrier (BBB) endothelial cells as therapeutic targets. Amaryllidaceous alkaloids were highly selectively and quantitatively riveted to the surface of low density lipoproteins by using a new method - mild click chemistry. The structure of products has been characterized by NMR, FT-IR, and other methods. In addition, drug loading rate, encapsulation rate, and drug release by the nanoparticles were determined to assess the quality of the nanoparticles.

10.1515/biol-2017-0041

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Citations (3)

Design and Characterization of the MKA-IV Robot for Ankle Rehabilitation

2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) (2018)

Quanquan Liu Xin Zhang Wanfeng Shang Chunbao Wang Zhuohua Lin

Hemiplegic survivors typically requires ankle rehabilitation to recover ankle motor function with considering the bilateral ankle balance. A new rehabilitation robotic system, named as MingKai Ankle IV (MKA-IV) has been proposed to address these challenges. The proposed rehabilitation robot consists of two symmetrical cascade mechanical platforms with three degree of freedoms (DOFs) each. Each ankle rehabilitation platform is composed of three rotational joints to achieve adduction/abduction, dorsifiexion/plantarflexion and inversion/eversion respectively. The novel symmetrical mechanical configuration allows patient to exercise his/her affected ankle by using the motion data collected from the sound side ankle. The corresponding kinematics has been derived to calculate platform's workspace. The kinematics/dynamics of the ankle rehabilitation robot is analyzed to verify its performance. The simulation had been performed to verify the correctness of the designed mechanical structure to reduce the ankle compensation during training. The experimental results illustrated that the robotic ankle joints can quickly response the input with time delay less than 5ms and maximum overshoot of 11.32%. The ankle training traces demonstrated that the ankle rehabilitation robot is capable of providing a solution for ankle training under different modes.

10.1109/rcar.2018.8621705

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Citations (7)

CuS–NiS₂ nanomaterials for MRI guided phototherapy of gastric carcinoma via triggering mitochondria-mediated apoptosis and MLKL/CAPG-mediated necroptosis

Nanotoxicology (2020)

Jian Chen Rongjun Zhang Cheng Tao Xiaofei Huang Zide Chen

Gastric carcinoma is one of the most lethal malignant tumors. As part of our long-term efforts on seeking effective diagnosis and therapeutic strategies of gastric cancer, we present herein novel ternary copper-based chalcogenide nanoplatform CuS–NiS2 nanomaterials with outstanding photothermal (PT)/photodynamic (PD) property that could effectively suppress human gastric cancer in vitro and in vivo without obvious side effects. We revealed that CuS–NiS2 induced reactive oxygen species (ROS) generation, leading to apoptosis through Bcl-2/Bax pathway of human gastric cancer cells under 808 nm near-infrared (NIR) irradiation. In addition, we also confirmed that the combination of CuS–NiS2 and 808 nm NIR laser treatment triggered necroptosis by regulating the novel pathway MLKL/CAPG of human gastric cancer cells. Moreover, the CuS–NiS2 exhibited excellent contrast enhancement according to magnetic resonance imaging (MRI). Taken together, we reported new ternary copper-based chalcogenide nanomaterials CuS–NiS2, which could be successfully applied for MRI-guided PT/PD therapy of gastric carcinoma through mitochondria-mediated apoptosis and MLKL/CAPG-mediated necroptosis.

Nanomaterials

10.1080/17435390.2020.1759727

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Citations (34)