Zhengliang Xiao

ORCID: 0000-0003-3186-8497
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About
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Research Areas
  • Artificial Intelligence in Healthcare
  • Single-cell and spatial transcriptomics
  • Healthcare Systems and Public Health
  • vaccines and immunoinformatics approaches
  • Wound Healing and Treatments
  • Diabetic Foot Ulcer Assessment and Management
  • Acute Ischemic Stroke Management
  • Ferroptosis and cancer prognosis
  • Cancer Immunotherapy and Biomarkers
  • Immunotherapy and Immune Responses
  • Pressure Ulcer Prevention and Management

Inner Mongolia University
2023-2024

Wenzhou University
2023

Zhejiang University
2023

Hangzhou DAC Biotech (China)
2023

Affiliated Hospital of Guizhou Medical University
2020

Guiyang Medical University
2020

T-cell receptor (TCR) detection can examine the extent of immune responses. Therefore, article analyzed characteristic data glioma obtained by DNA-based TCR high-throughput sequencing, to predict disease with fewer biomarkers and higher accuracy. We downloaded online six TCR-related diversity indices establish a multidimensional classification system. By comparing actual presence 602 correlated sequences, we two-dimensional datasets. Multiple methods were utilized for both datasets accuracy...

10.1038/s41598-024-65305-9 article EN cc-by Scientific Reports 2024-07-04

Data about postoperative infections in male adults with spinal cord injury are scarce. We aimed to evaluate the association between prior exposure pressure ulcers (PU) and risk of (SCI).We conducted a prospective study receiving surgery SCI from January 2007 December 2019. Postoperative infection included septicemia, pneumonia, surgical incision urinary tract infection. A logistic regression analysis was applied. Risk ratios (RRs) their corresponding 95% confidence intervals (CIs) were...

10.1080/02688697.2020.1769552 article EN British Journal of Neurosurgery 2020-06-01

<sec> <title>BACKGROUND</title> Frailty is extremely common in older people and often considered a sign of "old age" therefore overlooked; Timely identification - screening out the "frail" state elderly, conducting comprehensive assessment giving effective intervention, which has positive practical significance for improving quality life elderly prolonging life. At present, there no clear definition benchmark frailty, industry generally based on some frailty scales such as Fried scale to...

10.2196/preprints.48755 preprint EN 2023-05-05

<sec> <title>BACKGROUND</title> Frailty is extremely common in older people and often considered a sign of "old age" therefore overlooked; Timely identification - screening out the "frail" state elderly, conducting comprehensive assessment giving effective intervention, which has positive practical significance for improving quality life elderly prolonging life. At present, there no clear definition benchmark frailty, industry generally based on some frailty scales such as Fried scale to...

10.2196/preprints.48866 preprint EN 2023-05-16

Abstract Objective: This study aims to develop a clinical diagnostic prediction framework for ischaemic stroke, haemorrhagic stroke and two classifications using machine learning methods based on multiple blood indicators. Methods: From the electronic medical records of Affiliated Hospital Inner Mongolia Medical University, 519 patients, 506 patients 115 non-stroke population were selected as survey subjects, randomly assigned "training" group "test" group. Use 7 supervised classifiers,...

10.21203/rs.3.rs-3369313/v1 preprint EN cc-by Research Square (Research Square) 2023-10-19

Abstract TCR detection can examine the extent of T-cell immune responses. Therefore, article analyzed characteristic data glioma obtained by high-throughput sequencing, to predict disease with fewer biomarkers and higher accuracy. We downloaded online six TCR-related diversity indices establish a multidimensional classification system. By comparing actual presence 602 correlated sequences, we two-dimensional datasets. Multiple methods were utilized for both datasets accuracy slightly less...

10.21203/rs.3.rs-3596333/v1 preprint EN cc-by Research Square (Research Square) 2023-11-21
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