A5001632337- Pancreatic and Hepatic Oncology Research
- Cancer Genomics and Diagnostics
- Pancreatitis Pathology and Treatment
- Neuroendocrine Tumor Research Advances
- Epigenetics and DNA Methylation
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Multimodal Machine Learning Applications
- Recommender Systems and Techniques
- Acupuncture Treatment Research Studies
- Gastric Cancer Management and Outcomes
- Cancer Immunotherapy and Biomarkers
- Domain Adaptation and Few-Shot Learning
- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Biomedical and Chemical Research
- Healthcare and Venom Research
- Advanced Graph Neural Networks
- Hernia repair and management
- Reservoir Engineering and Simulation Methods
- Workplace Violence and Bullying
- Gallbladder and Bile Duct Disorders
- Intimate Partner and Family Violence
- Myofascial pain diagnosis and treatment
- Single-cell and spatial transcriptomics
- Gun Ownership and Violence Research
Second Military Medical University
2021-2025
Changhai Hospital
2021-2025
People's Liberation Army 401 Hospital
2022
Chinese People's Liberation Army
2022
Tencent (China)
2021
Gansu University of Traditional Chinese Medicine
2020
Learning user representations is a vital technique toward effective modeling and personalized recommender systems. Existing approaches often derive an individual set of model parameters for each task by training on separate data. However, the representation same potentially has some commonalities, such as preference personality, even in different tasks. As such, these separately trained could be suboptimal performance well inefficient terms parameter sharing. In this paper, we delve research...
Putting pancreatic adenocarcinoma (PAAD) screening into perspective for high-risk individuals could significantly reduce cancer morbidity and mortality. Previous studies have profiled somatic mutations in PAAD. In contrast, the prevalence of PAAD predisposition genes has not been defined, especially Asian population. Using a multi-tier cohort design whole genome/exome sequencing, we create comprehensive germline mutation map 1,123 Chinese patients comparison with 11 pan-ethnic studies. For...
Learning user representations is a vital technique toward effective modeling and personalized recommender systems. Existing approaches often derive an individual set of model parameters for each task by training on separate data. However, the representation same potentially has some commonalities, such as preference personality, even in different tasks. As such, these separately trained could be suboptimal performance well inefficient terms parameter sharing. In this paper, we delve research...
Pancreatic cancer is a life-threatening malignant disease with significant diversity among geographic regions and races leading to distinct carcinogenesis prognosis. Previous studies mainly focused on Western patients, while the genomic landscape of Oriental especially Chinese, remained less investigated.A total 408 pancreatic patients were enrolled. A panel containing 436 cancer-related genes was used detect genetic alterations in tumor samples.We profiled alteration duct adenocarcinoma...
Deep learning has brought great progress for the sequential recommendation (SR) tasks. With advanced network architectures, recommender models can be stacked with many hidden layers, e.g., up to 100 layers on real-world datasets. Training such a deep is difficult because it computationally very expensive and takes much longer time, especially in situations where there are tens of billions user-item interactions. To deal challenge, we present StackRec, simple, yet effective efficient training...
Intraductal papillary mucinous neoplasms (IPMNs) are a heterogeneous group of and represent the most common identifiable precursor lesions pancreatic cancer. Clinical decision-making risk for malignant disease, including high-grade dysplasia invasive carcinoma, is challenging. Moreover, discordance on indication resection exists between contemporary guidelines. Furthermore, current nomogram models predicting disease depend endoscopic ultrasonography to evaluate precise size mural nodules....
To improve prediction, the AJCC staging system was revised to be consistent with upfront surgery (UFS) and neoadjuvant therapy (NAT) for PDAC.The designed patients who have had UFS PDAC, it has limited predictive power receiving NAT.We examined 146 PDAC resection after NAT 1771 at Changhai Hospital between 2012 2021. The clinicopathological factors were identified using Cox proportional regression analysis, Neoadjuvant Therapy Compatible Prognostic (NATCP) developed based on these variables....
Abstract Objective To investigate the prognostic prediction of a new indicator, combined by tumor grade and Ki-67, in patients with resected pancreatic ductal adenocarcinoma (PDAC). Methods Data were retrospectively collected from consecutive who underwent primary resection pancreas December 2012 to 2017. Tumor Ki-67 reviewed routine pathological reports. G-Ki67 was classified as three categories I (G1/2 < 40%), II ≥ III(G3/4 all Ki-67). Results Cox regression analyses revealed that stage...
Abstract Objective The aim of the study is to reinterpret prognostic prediction p53 expression categories in pancreatic ductal adenocarcinoma with exploration relationship between TP53 mutation genotype and pattern. Methods Data were retrospectively collected from consecutive patients who underwent primary resection. Complete loss function defined as nonsense frameshift mutations. A tissue microarray was used evaluate by immunohistochemistry categorized regulated, high, or negative. Results...
Accurate post-click conversion rate (CVR) estimation is crucial for online advertising systems. Despite significant advances in causal approaches designed to address the Sample Selection Bias problem, CVR still faces challenges due Covariate Shift. Given intrinsic connection between distribution of covariates click and non-click spaces, this study proposes an Exposure-Guided Embedding Alignment Network (EGEAN) bias caused by covariate shift. Additionally, we propose a Parameter Varying...
Click-Through Rate (CTR) prediction is essential in online advertising, where semantic information plays a pivotal role shaping user decisions and enhancing CTR effectiveness. Capturing modeling deep information, such as user's preference for "H\"aagen-Dazs' HEAVEN strawberry light ice cream" due to its health-conscious premium attributes, challenging. Traditional often overlooks these intricate details at the item levels. To bridge this gap, we introduce novel approach that models...
Abstract Background The superior mesenteric artery-first approach has been proved in pancreatoduodenectomy compared with the standard procedure. It is unclear whether similar benefits could be obtained distal pancreatectomy celiac axis resection. Methods Perioperative and survival outcomes of patients who underwent resection modified or traditional between January 2012 September 2021 were compared. Results entire cohort comprised 106 (modified approach, n = 35; 71). most common complication...
Abstract Purpose The study aimed to investigate the potential benefit of more than 4 courses S1 adjuvant chemotherapy for patients with pancreatic ductal adenocarcinoma (PDAC) after surgery. Method Data were retrospectively collected from consecutive who underwent S-1 following curative pancreatectomy between January 2016 and December 2018. Four-courses > cohorts compared overall survival (OS) as a primary outcome, relapse-free (RFS) adverse event incidence secondary outcomes. Results...
Abstract Objective: A refined staging system compatible with upfront surgery (UFS) and neoadjuvant therapy (NAT) for PDAC was developed to revise the prediction ability of AJCC system. Background: The patients who have undergone UFS PDAC, it has limited prognostic receiving NAT. Methods: We analyzed 146 underwent resection after NAT 1771 between 2012 2021 at Changhai Hospital. Cox proportional regression analysis used identify clinicopathological features Neoadjuvant Therapy Compatible...
<title>Abstract</title> Background: Pancreatic ductal adenocarcinoma (PDAC) patients have improved prognosis after neoadjuvant therapy (NAT). However, there is a lack of biomarkers to predict the pathological response preoperatively. We evaluated predictive value multiple biomarkers, including inflammatory for predicting responses. Methods: respectively reviewed records with localized PDAC who underwent NAT followed by resection between January 2017 and May 2021 at First Affiliated Hospital...
To explore the differences in clinical therapeutic effects on xerophthalmia of qi and yin deficiency between jinhuobu needling technique (the combined reinforcing to induce warm sensation) needing achieved by rotating needle.A total 54 patients were randomized into an observation group (28 cases) a control (26 cases). In both groups, main acupoints included Cuanzu (BL 2), Sizhukong (TE 23), Taiyang (EX-HN 5) Fengchi (GB 20); Danzhong (CV 17), Sanyinjiao (SP 6), Taixi (KI 3) Taichong (LR 3)....
Compelling evidence has suggested the pivotal role of stroma cells in carcinogenesis and metastasis pancreatic cancer. Interrogation on cell diversity is essential to delineate tumor microenvironment (TME) cross-talks between tumor. In current study, we provide a comprehensive single-cell map cancer date. Interestingly, cancer-associated fibroblasts (CAFs) display previously unidentified heterogeneity containing five subpopulations, potentially leading varied degrees tissue fibrosis....