A5100375867- Radiomics and Machine Learning in Medical Imaging
- Cancer Immunotherapy and Biomarkers
- Head and Neck Cancer Studies
- Machine Learning in Healthcare
- Graphene and Nanomaterials Applications
- Artificial Intelligence in Healthcare
- Wound Healing and Treatments
- Carbon and Quantum Dots Applications
- AI in cancer detection
- Cutaneous Melanoma Detection and Management
- Immunotherapy and Immune Responses
- Bariatric Surgery and Outcomes
- Male Reproductive Health Studies
- Mycobacterium research and diagnosis
- Advanced Nanomaterials in Catalysis
- Sexual function and dysfunction studies
- Bioactive Compounds and Antitumor Agents
- Artificial Intelligence in Games
- Nanomaterials for catalytic reactions
- Medical Imaging and Analysis
- Sexual Differentiation and Disorders
- Phytochemistry and biological activity of medicinal plants
- Sinusitis and nasal conditions
- Diabetes Treatment and Management
- Endoplasmic Reticulum Stress and Disease
Zhujiang Hospital
2012-2025
Southern Medical University
2012-2025
Nanfang Hospital
2013-2023
University of Science and Technology Liaoning
2023
Dongguan People’s Hospital
2022
Wuhan Union Hospital
2022
Xinjiang Medical University
2022
Tencent (China)
2020
Abstract Background Images from magnetic resonance imaging (MRI) are crucial unstructured data for prognostic evaluation in nasopharyngeal carcinoma (NPC). We developed and validated a system based on the MRI features clinical of locoregionally advanced NPC (LA-NPC) patients to distinguish low-risk with LA-NPC whom concurrent chemoradiotherapy (CCRT) is sufficient. Methods This multicenter, retrospective study included 3444 January 1, 2010, 31, 2017. A 3-dimensional convolutional neural...
Abstract Sepsis, caused by uncontrollable infection and inflammatory response, leads to more than 30 million infected patients results in high morbidity worldwide every year. Currently, no efficient approaches have been developed for sepsis therapy due antimicrobial resistance storm. Here, we report macrophages loaded with aggregated carbon dots (ACDs) the lysosome, termed MCDs, treat immunosuppressive mice. The ACDs are constructed negative CDs amine‐abundant polyethyleneimine (PEI),...
One of the main clinical treatments for advanced nasopharyngeal carcinoma is chemotherapy, but systemic administration can cause serious adverse reactions. New type nanomaterial which actively targeting, imaging, and treating at same time to enhance effect meanwhile monitoring intracellular drug release process level single cancer cell was urgently needed. GE11, an EGFR antagonist peptide, used target has positive expression on its nucleus. GE11-modified graphene quantum dots (GQDs@GE11)...
Emodin is a main anthraquinone compound which exists in Chinese traditional medicines including Polygonum multiflorum and Rhubarb. It documented to have obvious liver kidney toxicity. This study aims (a) estimate gender differences of the hepatotoxicity toxicokinetics rats after oral administration emodin (60 150 mg/kg/d) for consecutive 28 days (b) clarify relative mechanisms caused by glucuronidation disposition. Hepatotoxicity was significantly higher female than that male rats, as...
The presence of liver metastasis correlates with poor therapeutic response PD-1 blockade therapy in melanoma. A novel treatment protocol by combining cryoablation transarterial infusion pembrolizumab (CATAP) was proposed, and its feasibility safety assessed among this group patients.This registered ambispective cohort study enrolled fifteen melanoma patients multiple hepatic metastases who received planned two-stage CATAP therapy: the combined stage, subtotal on day 1, which one to two...
Proper characterization of animal models used for efficacy and safety assessment is crucial. The present study focuses on characterizing proteins that are important components the absorption, distribution, metabolism, elimination xenobiotics. Hepatic gene expression Cyp2b10, Cyp2c29, Cyp3a11, Cyp2e1, Cyp4a10, Nr1i2, Nr1i3, slco1a1, slco1a4, slco1b2, abcb1b, abcc2, abcg2 was examined using real-time polymerase chain reaction method in male db/db mice, a commonly type II diabetes model. We...
The survival path mapping approach has been proposed for dynamic prognostication of cancer patients using time-series data. SurvivalPath R package was developed to facilitate building personalized models. contains functions convert data into time-slices by fixed interval based on time information input medical records. After the pre-processing data, under a user-defined parameters covariates, significance level, minimum bifurcation sample size and number slices analysis, paths can be...
Currently, the diagnosis of invasive pulmonary aspergillosis (IPA) mainly depends on integration clinical, radiological and microbiological data. Artificial intelligence (AI) has shown great advantages in dealing with data-rich biological medical challenges, but literature IPA is rare.This study aimed to provide a non-invasive, objective easy-to-use AI approach for early IPA.We generated prototype diagnostic deep learning model (IPA-NET) comprising three interrelated computation modules...
We used Aldehyde sodium alginate (ASA) as modifier to improve surfactivity and stability of magnetic nanoparticles, folate acid (FA) targeting molecule. Fe 3 O 4 nanoparticles were prepared by chemical coprecipitation method. FA was activated coupled with diaminopolyethylene glycol (NH2‐PEG‐NH2). ASA combined FA‐PEG connected Schiff’s base formation. Then Cl - in cisplatin replaced hydroxyl group ASA, FA‐ ASA‐modified cisplatin‐loaded nanomedicine (CDDP‐FA‐ASA‐MNPs) prepared. This...
418 Background: Sitravatinib is a selective tyrosine kinase inhibitor that reduces the number of myeloid-derived suppressor and regulatory T cells increases ratio M1/M2-polarized macrophages. This may help to overcome an immunosuppressive tumor microenvironment augment antitumor responses. TIS, anti-programmed cell death protein-1 (PD-1) antibody, has shown activity in multiple advanced solid tumors. multicohort, phase 1/2 study assessed safety/tolerability efficacy sitravatinib alone or...
G-protein-coupled receptor-associated sorting protein 1 (GPRASP1) plays an important role in tumorigenesis. However, GPRASP1 specific has not been clarified head and neck cancer (HNC).HNC RNA sequencing (RNA-seq) datasets, DNA methylation data, somatic mutation copy number variation (CNV) corresponding clinicopathologic information were acquired from the Cancer Genome Atlas (TCGA) Gene Expression Omnibus (GEO) databases. A comprehensive evaluation was performed to explore relationship of...
The greatly accelerated development of information technology has conveniently provided adoption for risk stratification, which means more beneficial both patients and clinicians. Risk stratification offers accurate individualized prevention therapeutic decision making etc. Hospital discharge records (HDRs) routinely include conclusions diagnoses the patients. For this reason, in paper, we propose an improved model a supervised fashion by exploring HDRs about coronary heart disease (CHD).We...
At present, the research on Surakarta game is relatively less than other games. Aiming at this situation, a chess program designed. This implements basic algorithms such as board representation, move generation, evaluation, and tree search. The evaluation of takes into account number pieces, moving range, attacking power value, arc etc. search algorithm uses Alpha-Beta pruning algorithm. whole fully functional has strong level, which provides reference significance value for related...
Background: Among patients with advanced stage melanoma receiving pembrolizumab, the presence of liver metastasis is an indicator suggestive poor therapeutic response. A modified treatment strategy by combining transarterial infusion pembrolizumab cryoablation was proposed and its efficacy assessed among this group patients. Methods: This study retrospectively reviewed records 15 multiple hepatic metastases who received a planned therapy combined (CATAP) in Sun Yat-sen University Cancer...
Background and ObjectiveTraditional hypertension hyperlipidemia prediction models suffer from uneven modeling data sources, short sample sizes, a lack of uniform standards for the index system, resulting in model failing to fulfill clinical applications. To address this issue, work will offer DHDIP, an interpretable based on EMR data.MethodsFirst, we select massive high-dimensional, unstructured as unified source, propose pre-processing algorithm solve problem that cannot be directly...