Lei Zhang

ORCID: 0000-0003-0529-1305
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About
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Research Areas
  • Traditional Chinese Medicine Studies
  • Biomedical Text Mining and Ontologies
  • Machine Learning in Bioinformatics
  • Image Retrieval and Classification Techniques
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Cholinesterase and Neurodegenerative Diseases
  • Inflammation biomarkers and pathways
  • Medicinal Plants and Neuroprotection
  • Neuroscience and Neuropharmacology Research
  • Mycobacterium research and diagnosis
  • Metabolomics and Mass Spectrometry Studies
  • Pain Mechanisms and Treatments

Southern Medical University
2025

Nanfang Hospital
2025

Chinese Academy of Medical Sciences & Peking Union Medical College
2022-2024

China Academy of Chinese Medical Sciences
2022

First People's Hospital of Foshan
2021

Shaoxing People's Hospital
2019

University of Pennsylvania
2019

This article uses the real medical records and web pages of Chinese medicine diagnosis treatment hepatitis B to extract structured knowledge, obtains a total 8,563 entities, 96,896 relationships, 32 entity types, 40 relationship types. The data was stored in Neo4j graph structure database, knowledge constructed. map is used as source provide high-quality information for question answer system based on disease. Applying deep learning method identification response answering makes intelligent...

10.1155/2022/7139904 article EN cc-by BioMed Research International 2022-02-14

Abstract Media convergence is a media change led by technological innovation. Applying technology to the study of clustering in Chinese medicine can significantly exploit advantages fusion. Obtaining consistent and complementary information among multiple modalities through provide technical support for clustering. This article presents an approach based on Convergence Graph convolution Encoder Clustering (MCGEC) traditional (TCM) clinical data. It feeds modal graph structure from into...

10.1049/cit2.12230 article EN cc-by-nc-nd CAAI Transactions on Intelligence Technology 2023-05-22

Cerebral palsy is one of the most prevalent neurological disorders and frequent cause disability. Identifying syndrome by patients' symptoms key to traditional Chinese medicine (TCM) cerebral treatment. Artificial intelligence (AI) advancing quickly in several sectors, including TCM. AI will considerably enhance dependability precision diagnoses, expanding effective treatment methods' usage. Thus, for palsy, it necessary build a decision-making model aid diagnosis process. While recurrent...

10.1155/2022/7708376 article EN Evidence-based Complementary and Alternative Medicine 2022-10-12

Amyloid pathology and memory loss are significantly inhibited when treated with Dantrolene (oral or subcutaneous administration) before the onset of AD symptoms. This study compares therapeutic side effects intranasal vs administration dantrolene, after neuropathology cognitive dysfunction in 5XFAD mice. Aged-matched male female C57BL/6 (WT) mice were dantrolene (5 mg/kg, 3x/wk), vehicle. An early treatment group (ETG) received from 2–11 months age late (LTG) 6–11 age. Olfaction (buried food...

10.1016/j.jalz.2019.06.2476 article EN Alzheimer s & Dementia 2019-07-01

Abstract Background Painful diabetic neuropathy (PDN) is a common and intractable complication of diabetes mellitus, with little effective treatment. PDN has been associated spinal neuroinflammation characterized by microglial activation. Recently, the triggering receptor expressed on myeloid cells 2 (TREM2), specifically localized microglia, identified as vital factor in modulating phenotypes neural diseases. Therefore, we hypothesized that TREM2 might contribute to regulating activity...

10.21203/rs.3.rs-671471/v1 preprint EN cc-by Research Square (Research Square) 2021-07-08
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