A5102749262- Cancer-related molecular mechanisms research
- Nutrition and Health in Aging
- Advanced Neural Network Applications
- Gut microbiota and health
- CAR-T cell therapy research
- Frailty in Older Adults
- Probiotics and Fermented Foods
- Domain Adaptation and Few-Shot Learning
- Colorectal Cancer Treatments and Studies
- Circular RNAs in diseases
- MicroRNA in disease regulation
- Body Composition Measurement Techniques
- Cancer Research and Treatments
- Advanced Image and Video Retrieval Techniques
- Gastric Cancer Management and Outcomes
- Cancer Immunotherapy and Biomarkers
- Genetic factors in colorectal cancer
- RNA modifications and cancer
- Reproductive System and Pregnancy
- Radiomics and Machine Learning in Medical Imaging
- Pregnancy and preeclampsia studies
- Video Surveillance and Tracking Methods
- Endoplasmic Reticulum Stress and Disease
- RNA Research and Splicing
- Lung Cancer Treatments and Mutations
First Hospital of Jilin University
2016-2025
Jilin University
2016-2025
Guiyang Medical University
2023-2025
Nanjing University of Chinese Medicine
2017-2025
Affiliated Hospital of Guizhou Medical University
2023-2025
Guangzhou University of Chinese Medicine
2025
Sichuan University
2018-2024
Gansu University of Traditional Chinese Medicine
2023-2024
Shantou University
2024
Guangdong Academy of Sciences
2020-2024
In existing CNN based detectors, the backbone network is a very important component for basic feature1 extraction, and performance of detectors highly depends on it. this paper, we aim to achieve better detection by building more powerful from ones like ResNet ResNeXt. Specifically, propose novel strategy assembling multiple identical backbones composite connections between adjacent backbones, form named Composite Backbone Network (CBNet). way, CBNet iteratively feeds output features...
Fusing the camera and LiDAR information has become a de-facto standard for 3D object detection tasks. Current methods rely on point clouds from sensor as queries to leverage feature image space. However, people discovered that this underlying assumption makes current fusion framework infeasible produce any prediction when there is malfunction, regardless of minor or major. This fundamentally limits deployment capability realistic autonomous driving scenarios. In contrast, we propose...
Modern top-performing object detectors depend heavily on backbone networks, whose advances bring consistent performance gains through exploring more effective network structures. In this paper, we propose a novel and flexible framework, namely CBNet, to construct high-performance using existing open-source pre-trained backbones under the pre-training fine-tuning paradigm. particular, CBNet architecture groups multiple identical backbones, which are connected composite connections....
Abstract Background Malnutrition is prevalent in lung cancer (LC) patients, yet there are no globally accepted criteria for diagnosing malnutrition. Recently, the Global Leadership Initiative on (GLIM) were proposed. However, role of these prospective LC cohorts remains unclear. Methods We performed a multicenter, observational cohort study including 1219 patients. Different anthropometric measures compared assessment reduced muscle mass (RMM) GLIM criteria. Least absolute shrinkage and...
The gut microbiota plays an important role in human health and longevity, the of centenarians shows unique characteristics. Nowadays, most microbial research on longevity is usually limited to bioinformatics level, lacking validating information culturing functional microorganisms. Here, we combined metagenomic sequencing large-scale vitro culture reveal structure world's town-Jiaoling, China, people different ages. Functional strains were isolated screened vitro, possible relationship...
To achieve autonomous driving, developing 3D detection fusion methods, which aim to fuse the camera and LiDAR information, has draw great research interest in recent years. As a common practice, people rely on large-scale datasets fairly compare performance of different methods. While these have been carefully cleaned ideally minimize any potential noise, we observe that they cannot truly reflect data seen real vehicle, whose tends be noisy due various reasons. This hinders ability simply...
Recently, neural architecture search (NAS) has been exploited to design feature pyramid networks (FPNs) and achieved promising results for visual object detection. Encouraged by the success, we propose a novel One-Shot Path Aggregation Network Architecture Search (OPANAS) algorithm, which significantly improves both searching efficiency detection accuracy. Specifically, first introduce six heterogeneous information paths build our space, namely top-down, bottom-up, fusing-splitting,...
The newly proposed Global Leadership Initiative on Malnutrition (GLIM) framework is promising to gain global acceptance for diagnosing malnutrition. However, the role of machine learning in facilitating its application clinical practice remains largely unknown.We performed a multicenter, observational cohort study including 3998 patients with cancer. Baseline malnutrition was defined using GLIM criteria, and population randomly divided into derivation group (n = 2998) validation 1000). A...
Microbes are critical for flavor formation in fermented foods; however, their mechanisms of action not fully understood. The microbial composition 51 dairy and 47 vegetable products was functionally annotated the carbohydrate-active enzyme (CAZyme) profiles Lactiplantibacillus plantarum 84-3 (Lp84-3), isolated from samples, can promote resistant starch (RS) degradation, were analyzed. Lactobacillus, Streptococcus, Lactococcus predominant genera products, whereas major vegetables Weissella,...
Abstract Myocardial infarction, commonly known as a heart attack, is serious condition caused by the abrupt stoppage of blood flow to part heart, leading tissue damage. A significant aspect this reperfusion injury, which occurs when restored but exacerbates This review first addresses role innate immune system, including neutrophils and macrophages, in cascade events myocardial infarction injury. It then shifts focus critical involvement CD4+ T helper cells these processes. These cells,...
Importance Chimeric antigen receptor (CAR) T-cell therapy (CART) has transformed the treatment landscape of hematologic cancer, but negligible effects for adult solid cancers. In this trial, an autologous CAR product demonstrated antitumor activity in heavily pretreated patients with metastatic colorectal cancer (mCRC). Objective To evaluate safety and efficacy guanylate cyclase-C (GCC19) CART participants Design, Setting, Participants This single-arm, nonrandomized, phase 1 trial was...
Diabetes mellitus and nonalcoholic fatty liver disease (NAFLD) are often identified in patients simultaneously. Recent evidence suggests that endoplasmic reticulum (ER) stress autophagy dysfunction play an important role hepatocytes injury hepatic lipid metabolism, however the mechanistic interaction between diabetes NAFLD is largely unknown. In this study, we used a diabetic mouse model to study interplay ER during pathogenic transformation of NAFLD. The coexist inflammatory accumulation...
Long noncoding RNAs (lncRNAs) have been reported to play diverse roles in biologic and pathologic processes, including myogenesis. We found that lncRNA AK017368 is highly expressed skeletal muscle cells. Functional analyses showed overexpression of promoted proliferation restrained differentiation myoblasts; whereas inhibition had completely opposite effects vitro. In mice, knockdown hypertrophy vivo. RNA molecules acted mechanistically as competing endogenous target micro-RNA (miR)-30c,...