Yuzhen Li
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yuzhen Li has a total of 80 co-authors. Here are the top co-authors by number of shared publications:
- Qianjin Lu
Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
3 shared publications - Xing-Hua Gao
Department of Dermatology and Venereology, The First Affiliated Hospital of China Medical University, Shenyang, China
3 shared publications - Chunli Yao
Department of Dermatology, The Second Hospital of Jilin University, Changchun, China
2 shared publications - Duoqin Wang
Department of Dermatology, Huashan Hospital, Fudan Univeristy, Shanghai, China
2 shared publications - Fuqiu Li
Department of Dermatology The Second Hospital of Jilin University Changchun China
2 shared publications - Hai Long
Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics The Second Xiangya Hospital of Central South University Changsha Hunan China
2 shared publications
Latest Publications
- 1 June 2024
- Published by Springer Nature in Phenomics
- Vol. 4 (3) , 269-292
Expert Consensus on Big Data Collection of Skin and Appendage Disease Phenotypes in Chinese
The collection of big data on skin and appendage phenotypes has revolutionized the field of personalized diagnosis and treatment by enabling the evaluation of individual characteristics and early detection of abnormalities. To establish a standardized system for collecting and measuring big data on phenotypes, a systematic categorization of measurement entries has been undertaken, accompanied by recommendations on measurement entries, environmental equipment requirements, and collection processes, tailored to the needs of different usage scenarios. Specific collection sites have also been recommended based on different index characteristics. A multi-center, multi-regional collaboration has been initiated to collect big date on phenotypes of healthy and diseased skin in the Chinese population. This data will be correlated with patient disease information, exploring the factors influencing skin phenotype, analyzing the phenotypic data features that can predict prognosis, and ultimately promoting the exploration of the pathophysiology and pathogenesis of skin diseases and therapeutic approaches. Non-invasive skin measurement robots are also in development. This consensus aims to provide a reference for the study of phenomics and the standardization of phenotypic measurements of skin and appendages in China.
- 1 June 2024
- Published by Springer Nature in Phenomics
- Vol. 4 (3) , 269-292
Expert Consensus on Big Data Collection of Skin and Appendage Disease Phenotypes in Chinese
The collection of big data on skin and appendage phenotypes has revolutionized the field of personalized diagnosis and treatment by enabling the evaluation of individual characteristics and early detection of abnormalities. To establish a standardized system for collecting and measuring big data on phenotypes, a systematic categorization of measurement entries has been undertaken, accompanied by recommendations on measurement entries, environmental equipment requirements, and collection processes, tailored to the needs of different usage scenarios. Specific collection sites have also been recommended based on different index characteristics. A multi-center, multi-regional collaboration has been initiated to collect big date on phenotypes of healthy and diseased skin in the Chinese population. This data will be correlated with patient disease information, exploring the factors influencing skin phenotype, analyzing the phenotypic data features that can predict prognosis, and ultimately promoting the exploration of the pathophysiology and pathogenesis of skin diseases and therapeutic approaches. Non-invasive skin measurement robots are also in development. This consensus aims to provide a reference for the study of phenomics and the standardization of phenotypic measurements of skin and appendages in China.
- 4 August 2022
- Published by Elsevier in Journal of Investigative Dermatology
- Vol. 143 (1) , 67-77.e15
GWAS of Chronic Spontaneous Urticaria Reveals Genetic Overlap with Autoimmune Diseases, Not Atopic Diseases
- 4 August 2022
- Published by Elsevier in Journal of Investigative Dermatology
- Vol. 143 (1) , 67-77.e15
GWAS of Chronic Spontaneous Urticaria Reveals Genetic Overlap with Autoimmune Diseases, Not Atopic Diseases
- Open Access
- 1 January 2022
- Published by XMLink in Allergy, Asthma & Immunology Research
- Vol. 14 (1) , 131-142
IgE and IgG Anti-Thyroid Autoantibodies in Chinese Patients With Chronic Spontaneous Urticaria and a Literature Review
Zhang L, et al. Allergy Asthma Immunol Res. 2022 Jan;14(1):131-142. https://doi.org/10.4168/aair.2022.14.1.131
- 1 January 2022
- Published by XMLink in Allergy, Asthma & Immunology Research
- Vol. 14 (1) , 131-142
Open AccessIgE and IgG Anti-Thyroid Autoantibodies in Chinese Patients With Chronic Spontaneous Urticaria and a Literature Review
Zhang L, et al. Allergy Asthma Immunol Res. 2022 Jan;14(1):131-142. https://doi.org/10.4168/aair.2022.14.1.131