A5039941326- Meningioma and schwannoma management
- Neurofibromatosis and Schwannoma Cases
- Neuroscience and Neural Engineering
- Radiomics and Machine Learning in Medical Imaging
- RNA Interference and Gene Delivery
- COVID-19 diagnosis using AI
- Muscle activation and electromyography studies
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Anomaly Detection Techniques and Applications
- Gold and Silver Nanoparticles Synthesis and Applications
- Advanced biosensing and bioanalysis techniques
- Nerve injury and regeneration
- Fungal Infections and Studies
- Bone Tumor Diagnosis and Treatments
- Cerebral Venous Sinus Thrombosis
- Nasal Surgery and Airway Studies
- Osteomyelitis and Bone Disorders Research
- Nonlinear Optical Materials Studies
- Machine Learning in Healthcare
- Herpesvirus Infections and Treatments
- Functional Brain Connectivity Studies
- Bone and Joint Diseases
- Planarian Biology and Electrostimulation
- Virus-based gene therapy research
Tsinghua University
2022-2025
Zunyi Medical University
2021-2024
State Key Laboratory of New Ceramics and Fine Processing
2022-2024
Johns Hopkins University
2018-2021
Indiana University – Purdue University Indianapolis
2020
Tianjin University
2016
Affiliated Hospital of Zunyi Medical College
2015
Monitoring the early-stage healing of severe traumatic nerve injuries is essential to gather physiological and pathological information for timely interventions optimal clinical outcomes. Traditional diagnostic methods relying on physical examinations, imaging tools, intraoperative electrophysiological testing present great challenges in continuous remote monitoring. While implantable peripheral interfaces provide direct access fibers precise interrogation modulation, conventional...
As nitric oxide (NO) plays significant roles in a variety of physiological processes, the capability for real-time and accurate detection NO live organisms is great demand. Traditional assessments rely on indirect colorimetric techniques or electrochemical sensors that often comprise rigid constituent materials can hardly satisfy sensitivity spatial resolution simultaneously. Here, we report flexible highly sensitive biosensor based organic transistors (OECTs) capable continuous wireless...
Given the advantages of high energy density and easy deployment, biodegradable primary battery systems remain as a promising power source to achieve bioresorbable electronic medicine, eliminating secondary surgeries for device retrieval. However, currently available biobatteries are constrained by operational lifetime, biocompatibility, biodegradability, limiting potential therapeutic outcomes temporary implants. Herein, we propose fully zinc–molybdenum (Zn–Mo) with prolonged functional...
Abstract Optoelectronic neural interfaces can leverage the photovoltaic effect to convert light into electrical current, inducing charge redistribution and enabling nerve stimulation. This method offers a non-genetic remote approach for neuromodulation. Developing biodegradable efficient optoelectronic is important achieving transdermal stimulation while minimizing infection risks associated with device retrieval, thereby maximizing therapeutic outcomes. We propose biodegradable, flexible,...
Noise-induced hearing loss (NIHL) often accompanies cochlear synaptopathy, which can be potentially reversed to restore hearing. However, there has been little success in achieving complete recovery of sensorineural deafness using nearly noninvasive middle ear drug delivery before. Here, we present a study demonstrating the efficacy system employing brain-derived neurotrophic factor (BDNF)–poly-(dl-lactic acid-co-glycolic acid) (PLGA)-loaded hydrogel reversing synaptopathy and restoring...
Polyelectrolyte complex (PEC) nanoparticles assembled from plasmid DNA (pDNA) and polycations such as linear polyethylenimine (lPEI) represent a major nonviral delivery vehicle for gene therapy tested thus far. Efforts to control the size, shape, surface properties of pDNA/polycation have been primarily focused on fine-tuning molecular structures polycationic carriers assembly conditions medium polarity, pH, temperature. However, reproducible production these hinges ability kinetics, given...
Oral delivery of nucleic acid therapy is a promising strategy in treating various diseases because its higher patient compliance and therapeutic efficiency compared to parenteral routes administration. However, success has been limited by the low transfection resulting from entrapment mucus layer epithelial barrier gastrointestinal (GI) tract. Herein, we describe an approach overcome this phenomenon improve oral DNA context type II diabetes (T2D). Linear PEI (lPEI) was used as carrier form...
Preoperative prediction of meningioma venous sinus invasion would facilitate the selection surgical approaches and predicting prognosis. To predict in meningiomas, we used radiomic signatures to construct a model based on preoperative contrast-enhanced T1-weighted (T1C) T2-weighted (T2) magnetic resonance imaging.In total, 599 patients with pathologically confirmed were retrospectively enrolled. For each patient enrolled this study, 1595 extracted from T1C T2 image sequences. Pearson...
Preoperative distinction between transitional meningioma and atypical would aid the selection of appropriate surgical techniques, as well prognosis prediction. Here, we aimed to differentiate these two tumors using radiomic signatures based on preoperative, contrast-enhanced T1-weighted T2-weighted magnetic resonance imaging. A total 141 101 cases January 2014 December 2018 with a histopathologically confirmed diagnosis were retrospectively reviewed. All patients underwent imaging before...
The aim of this study was to use multimodal imaging (contrast-enhanced T1-weighted (T1C), T2-weighted (T2), and diffusion-weighted (DWI)) develop a radiomics model for preoperatively predicting venous sinus invasion in meningiomas. This prediction would assist selecting the appropriate surgical approach forecasting prognosis A retrospective analysis conducted on 331 participants who had been pathologically diagnosed with For each participant, 3948 features were acquired from T1C, T2, DWI...
The COVID-19 pandemic has dramatically changed the patterns of lifestyle and posed psychological stress on pregnant women. However, association sleep duration screen time with anxiety among women under backdrop scenario been poorly addressed. We conducted one large-scale, multicenter cross-sectional study which recruited 1794 across middle west China. Self-reported demographic characteristics, lifestyle, mental health status were collected from 6th February to 8th May 2020. investigated risk...
A novel series of dichroic anthraquinone dyes have been successfully synthesised with conventional Sonogashira reaction. These were found to high ratios, good solubilities, excellent hues and be potential candidates for guest–host liquid crystal displays. The ratio is as 13.26, which in the top level reported so far. In addition, this paper provides an effective method modulate optic properties from molecular via introduction different radicals on cores.
Bioadhesive hydrogels have attracted considerable attention as innovative materials in medical interventions and human-machine interface engineering. Despite significant advances their application, it remains critical to develop adhesive that meet the requirements for biocompatibility, biodegradability, long-term strong adhesion, efficient drug delivery vehicles moist conditions. A biocompatible, biodegradable, soft, stretchable hydrogel made from a combination of biopolymer (unmodified...
Predicting brain invasion preoperatively should help to guide surgical decision-making and aid the prediction of meningioma grading prognosis. However, only a few imaging features have been identified prediction. This study aimed develop validate an MRI-based nomogram predict by meningioma. In this retrospective study, 658 patients were examined via routine MRI before undergoing surgery diagnosed with histopathology. Least absolute shrinkage selection operator (LASSO) regularization was used...
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has threatened health for years. Given its transmissibility and high pathogenicity, accurate rapid method of diagnosing COVID-19 infection essential. Numerous deep learning (DL) models have been developed to assist radiologists with chest computed tomography (CT)-based screening. However, the existing CT datasets usually exhibit significant geographic class imbalances, resulting in difficulty generalizing model across...
Abstract Monitoring the early-stage healing of severe traumatic nerve injuries is essential to gather physiological and pathological information for timely interventions optimal clinical outcomes. While implantable peripheral interfaces provide direct access fibers precise interrogation modulation, conventional non-degradable designs pose limited utilization in injury rehabilitation. Here, we introduce a biodegradable restorative neural interface wireless real-time tracking recovery long-gap...
In 2019, coronavirus disease (COVID-19) is an acute that can rapidly develop into a very serious state. Therefore, it of great significance to realize automatic COVID-19 diagnosis. However, due the small difference in characteristics computed tomography (CT) between community acquire pneumonia (CP) and COVID-19, existing model unsuitable for three-class classifications healthy control, CP COVID-19. The current rarely optimizes data from multiple centers. we propose diagnosis patients based...
Background: Cryptococcus, as a classical "opportunistic" fungal pathogen, is capable of disseminating an invasive infection in immunocompromised hosts. The primary sites include the respiratory and central nervous systems, skeletal was rarely reported. In this case, we describe case cryptococcal osteomyelitis involving left side acetabulum Chinese patient with chronic hepatitis B. Case presentation: We retrospectively reviewed female (with B) pain limited mobility, fever occurring during who...