FengGao Lab @ SYSU FengGao Lab @ SYSU
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  • Latest News
    • CGH: INTELCAPE for automated, high-accuracy Crohn's disease diagnosis via capsule endoscopy
    • Cancer Letters: Multi-omics immune classification reveals immunotherapy opportunities in colorectal cancer
    • Lab Update: Our in-house LLM platform is now live for all members
    • Lab Update: We have moved to Guangzhou International Bio Island
    • Infrastructure Update: Our new parallel storage system is now online
    • Nucleic Acids Research: PCsRNAdb expands pan-cancer small noncoding RNA resources
    • Advanced Science: CRCFound, a self-supervised CT foundation model for colorectal cancer
    • IEEE TMI: SegMamba-V2 for general 3D medical image segmentation
    • Nature Communications: PIANOS for robust personalized risk stratification in colorectal cancer
    • Advanced Science: Brim enables pathology-only pan-cancer survival prediction
    • Genomics Proteomics Bioinformatics: AI-driven biomedical multimodal data fusion and analysis
    • International Journal of Surgery: TLS heterogeneity reveals prognosis and therapy opportunities in colorectal cancer
    • Genome Biology: TMO-Net advances explainable multi-omics learning in oncology
    • MedComm: Senescence-based colorectal cancer subtyping guides therapy stratification
    • Medical Image Analysis: SOUSA learns segmentation from sparse annotations
    • Teacher's Day
    • Graduation & New members
    • Graduation
    • Nature Communications: Longitudinal imaging improves treatment response prediction
    • The Third Symposium on Intelligent Application of Big Data for Digestive Diseases
    • Huzhou visit
    • New members
    • The First Symposium on Intelligent Application of Big Data for Digestive Diseases
  • Publications
    • INTELCAPE: A Deep Learning-Powered System for Automated, High-Accuracy Crohn's Disease Diagnosis via Capsule Endoscopy
    • Multi-omics driven immune classification of colorectal cancer: Implications for immunotherapy efficacy prediction and enhancement with WNT signaling inhibition
    • Real-World Performance of Open-Source Large Language Models in Diabetes Diagnosis
    • Lactylation of SLC26A3 in the acidic tumor microenvironment promotes malignant progression of colorectal carcinoma
    • Translating Molecular Subtypes into Cost-Effective Radiogenomic Biomarkers for Prognosis of Colorectal Cancer
    • Decoding Senescence-Driven Heterogeneity in Early-Onset Colorectal Cancer for Prognostic and Therapeutic Stratification
    • Predominant mutated non-canonical tumor-specific antigens identified by proteogenomics demonstrate immunogenicity and tumor suppression in CRC
    • Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation
    • Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning
    • FSA-Net: Fractal-driven Synergistic Anatomy-aware Network for Segmenting White Line of Toldt in Laparoscopic Images
    • A plasma metabolite-based test to detect minimal residual disease in post-surgery patients with colorectal cancer
    • PCsRNAdb: a comprehensive resource of small noncoding RNAs across cancers
    • Immunological Microenvironment Differences Between Left and Right Colon Cancer: Dynamic Interactions of CASC15+KLK6+ Epithelial Subpopulation with T Cells and Mast Cells
    • The role of tertiary lymphoid structures in renal cell carcinoma: From predictive biomarker to therapeutic target
    • CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self-Supervised Learning
    • Personalized risk stratification in colorectal cancer via PIANOS system
    • Poor-prognosis young-onset colorectal cancer is defined by the mesenchymal subtype and can be predicted by integrating molecular and histopathological characteristics
    • Interpretable Multimodal Fusion Model for Bridged Histology and Genomics Survival Prediction in Pan-Cancer
    • HADiff: hierarchy aggregated diffusion model for pathology image segmentation
    • Challenges in AI-driven Biomedical Multimodal Data Fusion and Analysis
    • Liquid biopsy to identify Barrett's oesophagus, dysplasia and oesophageal adenocarcinoma: the EMERALD multicentre study
    • SegMamba-V2: Long-range Sequential Modeling Mamba For General 3D Medical Image Segmentation
    • Anatomic association between the gastrocolic trunk of Henle and right colic artery by high-quality CT venography
    • Integrated immune-related gene signature predicts clinical outcome for patients with Luminal B breast cancer
    • Single-cell encoded gene silencing for high-throughput combinatorial siRNA screening
    • Deciphering Tertiary Lymphoid Structure Heterogeneity Reveals Prognostic Signature and Therapeutic Potentials for Colorectal Cancer: A Multicenter Retrospective Cohort Study
    • A new vision of diabetes classification： A shift from clinical manifestation to etiological molecular mechanism
    • TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology
    • Cross-Level Contrastive Learning and Consistency Constraint for Semi-Supervised Medical Image Segmentation
    • Structure Embedded Nucleus Classification for Histopathology Images
    • Editorial: Clinical risk assessment and intervention of gastrointestinal tumors driven by big-data
    • Genome-wide study reveals novel roles for formin-2 in axon regeneration as a microtubule dynamics regulator and therapeutic target for nerve repair
    • A Longitudinal MRI-Based Artificial Intelligence System to Predict Pathological Complete Response After Neoadjuvant Therapy in Rectal Cancer: A Multicenter Validation Study
    • A prognostic model for ovarian neoplasms established by an integrated analysis of 1580 transcriptomic profiles
    • Deep learning-derived spatial organization features on histology images predicts prognosis in colorectal liver metastasis patients after hepatectomy
    • Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction
    • Application of the Chinese Expert Consensus on Diabetes Classification in Clinical Practice
    • The landscape of objective response rate of anti-PD-1/L1 monotherapy across 31 types of cancer: a system review and novel biomarker investigating
    • Senescence-based colorectal cancer subtyping reveals distinct molecular characteristics and therapeutic strategies
    • Deep learning-derived spatial organization features on histopathology images to predict prognosis in patients with colorectal liver metastasis, after hepatectomy.
    • Immunological profiling of human colorectal cancer defines four distinct molecular subtypes
    • Senescence-Based Colorectal Cancer Subtyping Reveals Distinct Molecular Characteristics and Therapeutic Strategies
    • An immune, stroma, and epithelial--mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II--III colorectal cancer
    • MiR-423-5p is a novel endogenous control for the quantification of circulating miRNAs in human esophageal squamous cell carcinoma
    • Editorial: Medical knowledge-assisted machine learning technologies in individualized medicine
    • Association between genetically predicted leukocyte telomere length and non-scarring alopecia: a two-sample Mendelian randomization study
    • Exploring multi-omics latent embedding spaces for characterizing tumor heterogeneity and tumoral fitness effects
    • Medical knowledge-assisted machine learning technologies in individualized medicine
    • CT-based radiogenomic analysis dissects intratumor heterogeneity and predicts prognosis of colorectal cancer: a multi-institutional retrospective study
    • Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
    • Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images
    • A transcription factor signature can identify the CMS4 subtype and stratify the prognostic risk of colorectal cancer
    • A tumor immune microenvironment-related lncRNA signature for the prognosis and immunotherapeutic sensitivity prediction in colorectal cancer.
    • Multi-size deep learning based preoperative computed tomography signature for prognosis prediction of colorectal cancer
    • PIANOS: A platform independent and normalization free single-sample classifier for colorectal cancer
    • The growth pattern of liver metastases on MRI predicts early recurrence in patients with colorectal cancer: a multicenter study
    • Cross-level contrastive learning and consistency constraint for semi-supervised medical image segmentation
    • DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients
    • A microRNA-based liquid biopsy signature for the early detection of esophageal squamous cell carcinoma: a retrospective, prospective and multicenter study
    • Single-cell RNA-seq recognized the initiator of epithelial ovarian cancer recurrence
    • Dissecting Cellular Heterogeneity Based on Network Denoising of scRNA-seq Using Local Scaling Self-Diffusion
    • Lesion-aware dynamic kernel for polyp segmentation
    • Identification of an autophagy-related gene signature for the prediction of prognosis in early-stage colorectal cancer
    • Cancer-associated fibroblasts impact the clinical outcome and treatment response in colorectal cancer via immune system modulation: a comprehensive genome-wide analysis
    • OCaMIR—a noninvasive, diagnostic signature for early-stage ovarian cancer: a multi-cohort retrospective and prospective study
    • An interpretable computer-aided diagnosis method for periodontitis from panoramic radiographs
    • Genome-Wide analysis reveals hypoxic microenvironment is associated with immunosuppression in poor survival of stage II/III colorectal cancer patients
    • A model combing an immune-related genes signature and an extracellular matrix-related genes signature in predicting prognosis of left-and right-sided colon cancer
    • Deep learning to identify a gene signature associated with molecular subtypes that predicts prognosis in colorectal cancer.
    • Genome-wide analysis indicating cancer associated fibroblast (CAF) impacts on colorectal cancer (CRC) prognosis via immunosuppression.
    • Identifying an immune-related gene-pair for prognosis prediction of metastatic colorectal cancer.
    • Integrated immune-related gene signature to predict clinical outcome for patients with luminal B breast cancer.
    • Multi-omics longitudinal analyses in stages I to III CRC patients: Surveillance liquid biopsy test to predict early recurrence and enable risk-stratified postoperative CRC management.
    • Su029 INTEGRATING PROGNOSIS-RELATED GENES WITH IMMUNE-RELATED GENE SIGNATURE FOR SURVIVAL STRATIFICATION OF EARLY-STAGE COLORECTAL CANCER
    • Deep transformers for fast small intestine grounding in capsule endoscope video
    • Predicting treatment response from longitudinal images using multi-task deep learning
    • A novel cell-free DNA methylation-based model improves the early detection of colorectal cancer
    • Identification of prognostic spatial organization features in colorectal cancer microenvironment using deep learning on histopathology images
    • Response to Letter to the Editor from Knobler et al:“Validation of the Swedish Diabetes Regrouping Scheme in Adult-Onset Diabetes in China”
    • A metabolism-related radiomics signature for predicting the prognosis of colorectal cancer
    • Protein-protein interaction analysis reveals a novel cancer stem cell related target TMEM17 in colorectal cancer
    • Genome-wide Discovery of MicroRNA Biomarkers for Cancer Precision Medicine
    • Automatic and interpretable model for periodontitis diagnosis in panoramic radiographs
    • Identification of a stemness-related gene signature for predicting prognosis of patients with adjuvant chemotherapy in colorectal cancer
    • Validation of the Swedish diabetes re-grouping scheme in adult-onset diabetes in China
    • Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients
    • Multiomics-based colorectal cancer molecular subtyping using local scaling network fusion
    • Hippo-YAP signaling controls lineage differentiation of mouse embryonic stem cells through modulating the formation of super-enhancers
    • Integrating diffusion components of multi-omics datasets with application to cancer molecular subtyping
    • Roscovitine enhances All-trans retinoic acid (ATRA)-induced leukemia cell differentiation: Novel effects on signaling molecules for a putative Cdk2 inhibitor
    • GLP-1 receptor agonists and pancreatic safety concerns in type 2 diabetic patients: data from cardiovascular outcome trials
    • Development of a novel liquid biopsy test to diagnose and locate gastrointestinal cancers
    • Roscovitine enhances all-trans retinoic acid (ATRA)-induced nuclear enrichment of an ensemble of activated signaling molecules and augments ATRA-induced myeloid cell differentiation
    • Analysis of potential hub genes involved in the pathogenesis of Chinese type 1 diabetic patients
    • Development and validation of an individualized gene expression-based signature to predict overall survival in metastatic colorectal cancer
    • The potential application of Cordyceps in metabolic-related disorders
    • Immune-related gene signature for predicting the prognosis of head and neck squamous cell carcinoma
    • Obesity-related glomerulopathy: a latent change in obesity requiring more attention
    • Multiomics-Based Colorectal Cancer Molecular Subtyping Using Local Scaling Network Fusion
    • GLP-1 receptor agonists and risk of cancer in type 2 diabetes: an updated meta-analysis of randomized controlled trials
    • Identification, development and validation of a circulating miRNA-based diagnostic signature for early detection of gastric cancer
    • A signature of hypoxia-related factors reveals functional dysregulation and robustly predicts clinical outcomes in stage I/II colorectal cancer patients
    • Long-Read RNA Sequencing Identifies Alternative Splice Variants in Hepatocellular Carcinoma and Tumor-Specific Isoforms
    • An immune-related gene pairs signature predicts overall survival in serous ovarian carcinoma
    • DeepCC: a novel deep learning-based framework for cancer molecular subtype classification
    • An immune-related gene signature predicts prognosis of gastric cancer
    • A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction
    • Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
    • Gene expression signature in surgical tissues and endoscopic biopsies identifies high-risk T1 colorectal cancers
    • Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients
    • Pathway analysis of hypoxia-related factors in early colorectal cancer patients with poor prognosis.
    • Genome-wide discovery of a novel gene-expression signature for the identification of lymph node metastasis in esophageal squamous cell carcinoma
    • RNAMethyPro: a biologically conserved signature of N6-methyladenosine regulators for predicting survival at pan-cancer level
    • Molecular subtyping of colorectal cancer: Recent progress, new challenges and emerging opportunities
    • A genomewide transcriptomic approach identifies a novel gene expression signature for the detection of lymph node metastasis in patients with early stage gastric cancer
    • Retinoic acid and 6-formylindolo(3,2-b)carbazole (FICZ) combination therapy reveals putative targets for enhancing response in non-APL AML
    • High-throughput three-dimensional chemotactic assays reveal steepness-dependent complexity in neuronal sensation to molecular gradients
    • Dissecting cancer heterogeneity based on dimension reduction of transcriptomic profiles using extreme learning machines
    • Genome-wide discovery and identification of a novel miRNA signature for recurrence prediction in stage II and III colorectal cancer
    • A Novel Non-Invasive Circulating Mirna Signature for Detection of Esophageal Adenocarcinoma
    • Dysregulation of m6A RNA methylation regulators in colorectal cancer: Clinical implication as prognostic biomarkers and potential therapeutic targets
    • A microRNA signature associated with metastasis of T1 colorectal cancers to lymph nodes
    • Potential for subsets of wt-NPM1 primary AML blasts to respond to retinoic acid treatment
    • HTSanalyzeR2: An Ultra-Fast R/Bioconductor Package for High-Throughput Screens with Interactive Report
    • Poor-prognosis nasopharyngeal carcinoma as defined by a molecularly distinct subgroup and prediction by a miRNA expression signature
    • A Novel Mirna Signature for the Detection of Lymph Node Metastasis in Submucosal Colorectal Cancer Patients
    • A Novel Mirna-Based, Non-Invasive, Diagnostic Panel for Detection of Esophageal Squamous Cell Carcinoma
    • Genome-Wide Analysis Revealed a Robust Gene Expression Signature to Identify Lymph Node Metastasis in Submucosal Colorectal Cancer
    • Genome-wide discovery and identification of a novel microrna signature for recurrence prediction in colorectal cancer
    • Identification, Development and Validation of a Circulating Mirna-Based Diagnostic Signature for Early Detection of Gastric Cancer
    • Biomarkers for Precision Medicine
  • Research
    • ICGC-ARGO CRC
    • CRCFound
    • SegMamba-V2
    • PIANOS
    • Brim
    • TMO-Net
    • SOUSA
    • 3D RP-Net
    • DeepCC

Graduation

Jun 1, 2021 · 1 min read
post

Congratulating Qiqi for her PhD graduation.

Last updated on Jun 1, 2021
← Graduation & New members Jun 2, 2021
Nature Communications: Longitudinal imaging improves treatment response prediction Mar 25, 2021 →

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