A5024941785- AI in cancer detection
- Ferroptosis and cancer prognosis
- Cancer Immunotherapy and Biomarkers
- Radiomics and Machine Learning in Medical Imaging
- Global Cancer Incidence and Screening
- Lung Cancer Diagnosis and Treatment
- Digital Imaging for Blood Diseases
- Cancer-related molecular mechanisms research
- Anesthesia and Neurotoxicity Research
- Cardiac Ischemia and Reperfusion
- Colorectal Cancer Screening and Detection
- Brain Tumor Detection and Classification
- Infective Endocarditis Diagnosis and Management
- Advanced Image Fusion Techniques
- Colorectal Cancer Treatments and Studies
- Gallbladder and Bile Duct Disorders
- Cancer Cells and Metastasis
- Fibroblast Growth Factor Research
- Diet and metabolism studies
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Multimodal Machine Learning Applications
- Immunotherapy and Immune Responses
- Medical Imaging and Analysis
- Pharmaceutical studies and practices
- Health Literacy and Information Accessibility
University of California, Los Angeles
2021-2024
Zhongnan Hospital of Wuhan University
2019-2023
Wuhan University
2019-2023
Case Western Reserve University
2020-2023
University School
2023
Third Affiliated Hospital of Guangzhou Medical University
2016
Guangzhou Medical University
2016
Heidelberg University
1975-1987
University Hospital Heidelberg
1975-1987
Chirurgische Universitätsklinik Heidelberg
1975-1987
Abstract Despite known histological, biological, and clinical differences between lung adenocarcinoma (LUAD) squamous cell carcinoma (LUSC), relatively little is about the spatial in their corresponding immune contextures. Our study of over 1000 LUAD LUSC tumors revealed that computationally derived patterns tumor-infiltrating lymphocytes (TILs) on H&E images were different ( N = 421) 438), with TIL density being prognostic overall survival arrangement more prognostically relevant LUSC....
Abstract The tumor immune composition influences prognosis and treatment sensitivity in lung cancer. presence of effective adaptive responses is associated with increased clinical benefit after checkpoint blockers. Conversely, immunotherapy resistance can occur as a consequence local T-cell exhaustion/dysfunction upregulation immunosuppressive signals regulatory cells. Consequently, merely measuring the amount tumor-infiltrating lymphocytes (TILs) may not accurately reflect complexity...
<b><i>Background:</i></b> Intestinal ischemia/reperfusion (I/R) injury is a clinical challenge with high morbidity and mortality, whereas the effective therapeutic strategy limited. Inflammatory reaction plays important roles in I/R-induced intestinal damage multi-organ dysfunction syndrome. Peroxisome proliferator-activated receptor gamma (PPARγ) has been identified as an endogenous anti-inflammatory regulator by inhibiting nuclear factor-κB (NF-κB) activation. Our...
Importance Screening with low-dose computed tomography (CT) has been shown to reduce mortality from lung cancer in randomized clinical trials which the rate of adherence follow-up recommendations was over 90%; however, Lung Computed Tomography Reporting &amp;amp; Data System (Lung-RADS) low practice. Identifying patients who are at risk being nonadherent screening may enable personalized outreach improve overall adherence. Objective To identify factors associated patient nonadherence...
Lung adenocarcinoma (LUAD) is a morphologically heterogeneous disease with five predominant histologic subtypes. Fully supervised convolutional neural networks can improve the accuracy and reduce subjectivity of LUAD subtyping using hematoxylin eosin (H&E)-stained whole slide images (WSIs). However, developing models good prediction usually requires extensive manual data annotation, which time-consuming labor-intensive. This work proposes three self-supervised learning (SSL) pretext tasks to...
Abstract Excessive productions of inflammatory cytokines and free radicals are involved in spinal cord injury (SCI). Fibroblast growth factor 5 (FGF5) is associated with response oxidative damage, we herein intend to determine its function SCI. Lentivirus was instilled overexpress or knockdown FGF5 expression mice. Compound C H89 2HCl were used suppress AMP‐activated protein kinase (AMPK) A (PKA), respectively. level significantly decreased during overexpression mitigated, while silence...
In computational pathology, extracting spatial features from gigapixel whole slide images (WSIs) is a fundamental task, but due to their large size, WSIs are typically segmented into smaller tiles. A critical aspect of this analysis aggregating information these tiles make predictions at the WSI level. We introduce model that combines message-passing graph neural network (GNN) with state space (Mamba) capture both local and global relationships among in WSIs. The model's effectiveness was...
In certain types of cancerous tissue, mitotic count has been shown to be associated with tumor proliferation, poor prognosis, and therapeutic resistance. Due the high inter-rater variability counting by pathologists, convolutional neural networks (CNNs) have employed reduce subjectivity mitosis detection in hematoxylin eosin (H&E)-stained whole slide images. However, most existing models performance that lags behind expert panel review only incorporate visual information. this work, we...
Abstract Background: The application of antibiotic prophylaxis for hepatectomy remains uncertain. This research aims to evaluate different strategies based on network meta-analysis. Methods: Literature retrieval was conducted in globally recognized databases, namely, MEDLINE, EMBASE and Cochrane Central, address relative randomized controlled trials (RCTs) investigating hepatectomy. Relative parametric data, including surgical site infection (SSI), remote (RSI) total (TI), were...
Lung adenocarcinoma (LUAD), the most common type of lung cancer, has an average 5-year survival rate 15%. In LUAD, interaction between tumor and immune cells been shown to be highly associated with likelihood disease progression metastases. We have previously demonstrated association spatial architecture arrangement tumor-infiltrating lymphocytes (TILs) recurrence in early stage NSCLC. Recently, gene set enrichment analysis-derived scores found prognostic outcome. However, this requires...
Quantitative histomorphologic features derived from H&E-stained whole slide images (WSIs) have improved patient outcome prediction in non-small cell lung cancers (NSCLC). However, most existing works utilize tile-based but ignore the spatial relationships between tiles. Given that NSCLC exhibits tissue heterogeneity, capturing these is important determining tumor aggressiveness. In this work, we predict recurrence-free survival adenocarcinoma (LUAD), common subtype of NSCLC, using a graph...
2662 Background: Immune checkpoint inhibitors (ICIs) are currently approved for use as therapy in advanced stage lung adenocarcinoma (LUAD). ICIs can decrease risk of progression by up to 60% when compared chemotherapy, but only about 20% patients (pts) show response. Given that high levels tumor-infiltrating lymphocytes (TILs) have been shown be associated with better prognosis, here, we assess whether computationally derived TIL density measures on digitized H&E images predict RECIST...
Objective To evaluate the effect of dexmedetomidine on gastric mucosal injury induced by intestinal ischemia-reperfusion(I/R)in rats. Methods Thirty-six healthy male Sprague-Dawley rats, aged 4-5 months, weighing 200-250 g, were randomly divided into 4 groups(n=9 each)using a random number table: sham operation group(group S), I/R I/R), low-dose LD), and high-dose HD). Intestinal was produced occlusion superior mesenteric artery for 1 h followed 2 reperfusion in anesthetized...