A5102799737- Advanced Steganography and Watermarking Techniques
- Neuroscience and Neural Engineering
- Anorectal Disease Treatments and Outcomes
- Sepsis Diagnosis and Treatment
- Acute Kidney Injury Research
- Wound Healing and Treatments
- Tissue Engineering and Regenerative Medicine
- Mesenchymal stem cell research
- Pelvic floor disorders treatments
- Cryptography and Data Security
- Pelvic and Acetabular Injuries
- Advanced Sensor and Energy Harvesting Materials
- Neurological Disorders and Treatments
- Neurological disorders and treatments
- Nanoparticle-Based Drug Delivery
- Internet Traffic Analysis and Secure E-voting
- Nanoplatforms for cancer theranostics
- Advanced X-ray and CT Imaging
- Electrospun Nanofibers in Biomedical Applications
- Alzheimer's disease research and treatments
- Machine Learning in Healthcare
- Renal cell carcinoma treatment
- Radiomics and Machine Learning in Medical Imaging
- Hydrogels: synthesis, properties, applications
- Neuroscience and Neuropharmacology Research
Quzhou University
2025
Tongji University
2023-2024
Tongji Hospital
2023-2024
Changsha University of Science and Technology
2023
Zhejiang Chinese Medical University
2015
Zhejiang University
2015
Umbilical cord-derived mesenchymal stem cells (UC-MSC) are promising candidates for wound healing. However, the low amplification efficiency of MSC in vitro and their survival rates after transplantation have limited medical application. In this study, we fabricated a micronized amniotic membrane (mAM) as microcarrier to amplify used mAM (mAM-MSC) complexes repair burn wounds. Results showed that could live proliferate on 3D culture system, exhibiting higher cell activity than 2D culture....
To investigate whether the waveform of electrical stimulus affects antiepileptic effect focal low-frequency stimulation (LFS).The effects LFS in sine, monophase square and biphase waves were investigated hippocampal kindled mice, respectively.Compared to control group, sine wave (30 s) inhibited seizure stages (2.85 ± 0.27 vs 4.75 0.12, P<0.05), lowered incidence generalized seizures (53.6% 96.5%, P<0.01) reduced afterdischarge durations [(16.2 2 1.69)s (30.29 1.12)s, P<0.01] while or showed...
<sec> <title>BACKGROUND</title> Cardiac arrest (CA) is a global public health challenge. Accurate prediction of outcomes critical aspect the management patients after CA. This study will develop and validate an applicable machine learning (ML) model to predict in-hospital mortality CA in intensive care units. ICU. </sec> <title>OBJECTIVE</title> The aims models <title>METHODS</title> Patients with were extracted from Medical Information Mart for Intensive Care (MIMIC)-IV database, further...