A5049640172- Traditional Chinese Medicine Studies
- Biomedical Text Mining and Ontologies
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Complementary and Alternative Medicine Studies
- Plant-based Medicinal Research
- Machine Learning in Healthcare
- Computational Drug Discovery Methods
- COVID-19 diagnosis using AI
Beijing Jiaotong University
2021-2025
Hubei Provincial Hospital of Traditional Chinese Medicine
2020-2021
Hubei University of Chinese Medicine
2020
Understanding natural and traditional medicine can lead to world-changing drug discoveries. Despite the therapeutic effectiveness of individual herbs, Chinese (TCM) lacks a scientific foundation is often considered myth. In this study, we establish network framework reveal general TCM treatment principle as topological relationship between disease symptoms herb targets on human protein interactome. We find that proteins associated with symptom form module, proximity an herb’s module...
Chinese medicine (CM) was extensively used to treat COVID-19 in China. We aimed evaluate the real-world effectiveness of add-on semi-individualized CM during outbreak. A retrospective cohort 1788 adult confirmed patients were recruited from 2235 consecutive linked records retrieved five hospitals Wuhan 15 January 13 March 2020. The mortality users and non-users compared by inverse probability weighted hazard ratio (HR) propensity score matching. Change biomarkers between groups, frequency...
Abstract Symptom phenotypes are crucial for diagnosing and treating various disease conditions. However, the diversity of symptom terminologies poses a significant challenge to analyzing sharing symptom-related medical data, particularly in field traditional Chinese medicine (TCM). This study aims construct an Integrated Phenotype Ontology (ISPO) support data mining electronic records (EMRs) real-world studies TCM field. We manually annotated extracted terms from 21 classical textbooks...
Traditional Chinese medicine (TCM) has played an indispensable role in clinical diagnose and treatment. Based on patient's symptom phenotypes, computation-based prescription recommendation methods can recommend personalized TCM using machine learning artificial intelligence technologies. However, owing to the complexity individuation of current cannot obtain good performance. Meanwhile, it's very difficult conduct effective representation for unrecorded terms existing knowledge base. In this...
The diagnosis and treatment of traditional Chinese medicine (TCM) are formed based on the differentiation syndromes symptoms. Symptom management is always core task nursing science. Connotation between TCM symptoms Modern (MM) obvious different, especially tongue pulse TCM. However, underlying molecular mechanisms most remain unclear. Here, we developed a network-based framework to predict candidate genes (called PTsGene) construction high-quality set symptom-gene associations. Experimental...
Objective: To validate two proposed coronavirus disease 2019 (COVID-19) prognosis models, analyze the characteristics of different consider performance models in predicting outcomes, and provide new insights into development use artificial intelligence (AI) predictive clinical decision-making for COVID-19 other diseases. Materials Methods: We compared prediction that a decision tree logistic regression modeling. evaluated effectiveness model-building strategies using laboratory tests and/or...
Symptom phenotypes are one of the key types manifestations for diagnosis and treatment various disease conditions. However, diversity symptom terminologies is major obstacles hindering analysis knowledge sharing symptom-related medical data particularly in fields Traditional Chinese Medicine (TCM). Objective: This study aimed to construct an Integrated Ontology (ISPO) support mining EMRs real-world TCM field. Methods: To integrated ontology (ISPO), we manually annotated classical textbooks...
Background: The task of relation extraction is a crucial component in the construction knowledge graph. However, it often necessitates significant amount manual annotation, which can be time-consuming and expensive. Distant supervision, as technique, seeks to mitigate this challenge by generating large volume pseudo-training data at minimal cost, achieved mapping triple facts onto raw text. Objective: aim study explore novelty potential distant supervisionbased approach. By leveraging...
Background: Previous studies showed that the effect of antivirals for COVID-19 was promising but varied across patient population, and modest among severe cases. Chinese Medicine (CM) extensively used reported effective in China, awaiting further evidence support. We aimed to evaluate real-world effectiveness add-on semi-individualized.Methods: A retrospective total sampling cohort 1788 adult confirmed patients were recruited from all 2235 consecutive records retrieved 5 hospitals Wuhan...
Traditional Chinese medicine (TCM) relies on natural medical products to treat symptoms and diseases. While clinical data have demonstrated the effectiveness of selected TCM-based treatments, mechanistic root how TCM herbs diseases remains largely unknown. More importantly, current approaches focus single or prescriptions, missing high-level general principles TCM. To uncover nature a system level, in this work we establish generic network framework for from human protein interactome....