A5061582035- Statistical Methods and Inference
- Breast Cancer Treatment Studies
- Statistical Methods and Bayesian Inference
- Air Quality and Health Impacts
- Advanced Causal Inference Techniques
- Cancer Treatment and Pharmacology
- Atmospheric chemistry and aerosols
- Endometrial and Cervical Cancer Treatments
- Air Quality Monitoring and Forecasting
- Advanced Statistical Methods and Models
- Statistical Methods in Clinical Trials
- HER2/EGFR in Cancer Research
- Management of metastatic bone disease
- Advanced Radiotherapy Techniques
- Genomic variations and chromosomal abnormalities
- Cancer Immunotherapy and Biomarkers
- Genetic Associations and Epidemiology
- CAR-T cell therapy research
- Lung Cancer Diagnosis and Treatment
- Gaze Tracking and Assistive Technology
- Genomics and Phylogenetic Studies
- Probabilistic and Robust Engineering Design
- Control Systems and Identification
- Pleural and Pulmonary Diseases
- Breast Lesions and Carcinomas
Peking University
2005-2025
University of Hong Kong
2018
Beijing Normal University
2015-2017
Shanghai Public Security Bureau
2012
State Key Joint Laboratory of Environment Simulation and Pollution Control
2007
The association of specific PM2.5 chemical constituents with childhood overweight or obesity (OWOB) remain unclear. Furthermore, the long-term impacts exposure on trajectory children's body mass index (BMI) have not been explored. We conducted a longitudinal study among 1,450,830 Chinese children aged 6-19 years from Beijing and Zhongshan in China during 2005-2018 to examine associations its incident OWOB risk. extracted five main component Tracking Air Pollution (TAP) dataset. Cox...
The mixture cure model has been widely used in medicine, public health, and bioinformatics. traditional limitations flexibility handling complex structured data big data. In recent years, some improved new methods have developed. Through a literature review numerical studies, this article discusses the advantages disadvantages of progressions models incorporating machine learning techniques such as SVMs for improvements. Machine algorithms computation. When combined with models, they can...
Background: Structural variations (SVs) are common genetic alterations in the human genome that could cause different phenotypes and diseases, including cancer. However, detection of structural using second-generation sequencing was limited by its short read length, which restrained our understanding variations. Methods: In this study, we developed a 28-gene panel for long-read employed it to Oxford Nanopore Technologies Pacific Biosciences platforms. We analyzed 28 breast cancer-related...
To evaluate the diagnostic value of combinations tumor markers carcinoembryonic antigen (CEA), carbohydrate (CA) 125, CA153, and CA19-9 in identifying malignant pleural effusion (MPE) from non-malignant (non-MPE) using machine learning, compare performance popular learning methods.A total 319 samples were collected patients with Beijing Wuhan, China, January 2018 to June 2020. Five methods including Logistic regression, extreme gradient boosting (XGBoost), Bayesian additive regression tree,...
Apocrine carcinoma is a rare subtype of invasive ductal breast cancer that shows apocrine differentiation and largely triple-negative immunohistology. Triple-negative cancers are known to have more aggressive clinical courses. However, unlike most other subtypes, it reported (TNAC) has better prognosis. Due the scarcity studies, our knowledge regarding its behavior, prognosis response therapy very limited. In this study, we retrospectively retrieved 41 cases from database, with an average...
In estrogen receptor (ER)-positive breast cancer, changes in biomarker expression after neoadjuvant therapy indicate the therapeutic response and are prognostic. However, there is limited information about alteration caused by endocrine ER-positive human epidermal growth factor 2 (HER2)-negative cancer. We recruited ER-positive/HER2-negative cancer patients who received chemotherapy (NCT), (NET), or sequential endocrine-chemotherapy (NECT) at Peking University Cancer Hospital from 2015 to...
Abstract PM 2.5 components may promote the development of breast cancer and increase risk mortality. This study aims to investigate associations between long-term exposure multiple causes mortality among women with living in Inner Mongolia, China. We constructed an Mongolia cohort 33 952 patients from 2012 2021 using data Regional Health Information Platform. assessed each patient’s Tracking Air Pollution China database. Cox regression models were used estimate adjusted hazard ratios 95%...
Journal Article Efficient estimation of nonparametric genetic risk function with censored data Get access Yuanjia Wang, Wang Department Biostatistics, Mailman School Public Health, 722 West 168th Street, New York, York 10032, U.S.A. yw2016@columbia.edu Search for other works by this author on: Oxford Academic Google Scholar Baosheng Liang, Liang Mathematical Sciences, Beijing Normal University, 100875, China, liangbs@mail.bnu.edu.cnxweitong@bnu.edu.cn Xingwei Tong, Tong Karen Marder, Marder...
By incorporating the cost of multiple tumor-marker tests, this work aims to comprehensively evaluate financial burden patients and accuracy machine learning models in diagnosing malignant pleural effusion (MPE) using combinations.Carcinoembryonic antigen (CEA), carbohydrate (CA)19-9, CA125, CA15-3 were collected from (PE) peripheral blood (PB) 319 with effusion. A stacked ensemble (stacking) model based on five was utilized diagnostic tumor markers. We evaluated discriminatory various...
(1) Background: The evidence indicates that comorbidities are associated with an increase in the risk of death from coronavirus disease 2019 (COVID-19). It is unclear whether such association different for various combinations chronic comorbidities. (2) Methods: From 16 March 2020 to 30 November 2021, 104,753 patients confirmed COVID-19 Khyber Pakhtunkhwa Province, Pakistan, were studied determine between and duration symptom onset by stratifying their comorbidity status. (3) Results: had...
Many mature methods of gaze estimation are available in various scenarios. Relying on additional hardware or platforms with professional equipment to tackle intensive computation tasks is a prominent problem traditional methods, which usually involves high costs and relatively tedious. Besides, the implementation method typically complex. Traditional approaches require systematic prior knowledge expertise for practical operations, estimated through representation pupil iris, so high-quality...
Androgen receptor (AR) expression is frequently observed in breast cancer, but its association with estrogen (ER) cancer remains unclear. This study analyzed the clinicopathological and molecular features associated AR negativity both ER-positive ER-negative trying to elucidate correlation between ER. Our results showed that was different characteristics cancer. Moreover, AR-positive has better than AR-negative especially subtype. These suggest role of distinctive from
Abstract Currently, a large number of mature methods are available for gaze estimation. However, most regular estimation approaches require additional hardware or platforms with professional equipment data collection computing that typically involve high costs and relatively tedious. Besides, the implementation is particularly complex. Traditional usually systematic prior knowledge expertise practical operations. Moreover, they primarily based on characteristics pupil iris, which uses shapes...