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Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study

EBioMedicine, 2021-07, Vol.69, p.103460-103460, Article 103460

2021

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Impact of body mass index and its change on survival outcomes in patients with early breast cancer: A pooled analysis of individual-level data from BCIRG-001 and BCIRG-005 trials

Breast (Edinburgh), 2023-10, Vol.71, p.1-12

2023

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Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study

European radiology, 2022-03, Vol.32 (3), p.1983-1996

2022

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Highly Stable Five-Coordinated Mn(II) Polymer [Mn(Hbidc)]n (Hbidc=1H-Benzimidazole-5,6-dicarboxylate): Crystal Structure, Antiferromegnetic Property, and Strong Long-Lived Luminescence

Crystal growth & design, 2008-07, Vol.8 (7), p.2087-2089

2008

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Tumor microenvironment evaluation promotes precise checkpoint immunotherapy of advanced gastric cancer

Journal for immunotherapy of cancer, 2021-08, Vol.9 (8), p.e002467

2021

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Association of PIK3CA mutation with outcomes in HER2-positive breast cancer treated with anti-HER2 therapy: A meta-analysis and bioinformatic analysis of TCGA‑BRCA data

Translational oncology, 2023-11, Vol.37, p.101738-101738, Article 101738

2023

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Clinical Evidence for Locoregional Surgery of the Primary Tumor in Patients with De Novo Stage IV Breast Cancer

Annals of surgical oncology, 2021-09, Vol.28 (9), p.5059-5070

2021

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Identification of a tumor immune-inflammation signature predicting prognosis and immune status in breast cancer

Frontiers in oncology, 2023-01, Vol.12, p.960579-960579

2023

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Machine learning radiomics of magnetic resonance imaging predicts recurrence-free survival after surgery and correlation of LncRNAs in patients with breast cancer: a multicenter cohort study

Breast cancer research : BCR, 2023-11, Vol.25 (1), p.1-132, Article 132

2023

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Prognosis and Immunotherapy Response With a Novel Golgi Apparatus Signature-Based Formula in Lung Adenocarcinoma

Frontiers in cell and developmental biology, 2022-01, Vol.9, p.817085-817085

2022

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Artificial intelligence enables precision diagnosis of cervical cytology grades and cervical cancer

Nature communications, 2024-05, Vol.15 (1), p.4369-14, Article 4369

2024

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Deciphering the role of apoptosis signature on the immune dynamics and therapeutic prognosis in breast cancer: Implication for immunotherapy

Frontiers in genetics, 2024-05, Vol.15, p.1332935-1332935

2024

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Highly Stable Diamondoid Network Coordination Polymer [Mn(NCP)2] n with Notable NLO, Magnetic, and Luminescence Properties

Crystal growth & design, 2007-11, Vol.7 (11), p.2262-2264

2007

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Magnetic resonance imaging radiomics signatures for predicting endocrine resistance in hormone receptor-positive non-metastatic breast cancer

Breast (Edinburgh), 2021-12, Vol.60, p.90-97

2021

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Nanoparticles (NPs)-mediated lncBCMA silencing to promote eEF1A1 ubiquitination and suppress breast cancer growth and metastasis

Acta pharmaceutica Sinica. B, 2023-08, Vol.13 (8), p.3489-3502

2023

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A Prognostic Risk Score Based on Hypoxia-, Immunity-, and Epithelialto-Mesenchymal Transition-Related Genes for the Prognosis and Immunotherapy Response of Lung Adenocarcinoma

Frontiers in cell and developmental biology, 2022-01, Vol.9, p.758777-758777

2022

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Deep learning magnetic resonance imaging predicts platinum sensitivity in patients with epithelial ovarian cancer

Frontiers in oncology, 2022-11, Vol.12, p.895177-895177

2022

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KEAP1/NFE2L2 Mutations of Liquid Biopsy as Prognostic Biomarkers in Patients With Advanced Non-Small Cell Lung Cancer: Results From Two Multicenter, Randomized Clinical Trials

Frontiers in oncology, 2021-07, Vol.11, p.659200-659200

2021

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Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study

Journal for immunotherapy of cancer, 2023-05, Vol.11 (5), p.e006514

2023

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Synergistic role of activated CD4+ memory T cells and CXCL13 in augmenting cancer immunotherapy efficacy

Heliyon, 2024-03, Vol.10 (5), p.e27151-e27151, Article e27151

2024

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Homologous recombination repair rathway and RAD54L in early-stage lung adenocarcinoma

PeerJ (San Francisco, CA), 2021-02, Vol.9, p.e10680, Article e10680

2021

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Deep Learning Chest CT for Clinically Precise Prediction of Sepsis-Induced Acute Respiratory Distress Syndrome: A Protocol for an Observational Ambispective Cohort Study

Healthcare (Basel), 2022-10, Vol.10 (11), p.2150

2022

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Immune gene patterns and characterization of the tumor immune microenvironment associated with cancer immunotherapy efficacy

Heliyon, 2023-03, Vol.9 (3), p.e14450-e14450, Article e14450

2023

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A Comprehensive Analysis of Programmed Cell Death-Associated Genes for Tumor Microenvironment Evaluation Promotes Precise Immunotherapy in Patients with Lung Adenocarcinoma

Journal of personalized medicine, 2023-03, Vol.13 (3), p.476

2023

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Unraveling the role of M1 macrophage and CXCL9 in predicting immune checkpoint inhibitor efficacy through multicohort analysis and single‐cell RNA sequencing

MedComm (2020), 2024-03, Vol.5 (3), p.e471-n/a

2024

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Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study

Impact of body mass index and its change on survival outcomes in patients with early breast cancer: A pooled analysis of individual-level data from BCIRG-001 and BCIRG-005 trials

Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study

Highly Stable Five-Coordinated Mn(II) Polymer [Mn(Hbidc)]n (Hbidc=1H-Benzimidazole-5,6-dicarboxylate): Crystal Structure, Antiferromegnetic Property, and Strong Long-Lived Luminescence

Tumor microenvironment evaluation promotes precise checkpoint immunotherapy of advanced gastric cancer

Association of PIK3CA mutation with outcomes in HER2-positive breast cancer treated with anti-HER2 therapy: A meta-analysis and bioinformatic analysis of TCGA‑BRCA data

Clinical Evidence for Locoregional Surgery of the Primary Tumor in Patients with De Novo Stage IV Breast Cancer

Identification of a tumor immune-inflammation signature predicting prognosis and immune status in breast cancer

Machine learning radiomics of magnetic resonance imaging predicts recurrence-free survival after surgery and correlation of LncRNAs in patients with breast cancer: a multicenter cohort study

Prognosis and Immunotherapy Response With a Novel Golgi Apparatus Signature-Based Formula in Lung Adenocarcinoma

Artificial intelligence enables precision diagnosis of cervical cytology grades and cervical cancer

Deciphering the role of apoptosis signature on the immune dynamics and therapeutic prognosis in breast cancer: Implication for immunotherapy

Highly Stable Diamondoid Network Coordination Polymer [Mn(NCP)2] n with Notable NLO, Magnetic, and Luminescence Properties

Magnetic resonance imaging radiomics signatures for predicting endocrine resistance in hormone receptor-positive non-metastatic breast cancer

Nanoparticles (NPs)-mediated lncBCMA silencing to promote eEF1A1 ubiquitination and suppress breast cancer growth and metastasis

A Prognostic Risk Score Based on Hypoxia-, Immunity-, and Epithelialto-Mesenchymal Transition-Related Genes for the Prognosis and Immunotherapy Response of Lung Adenocarcinoma

Deep learning magnetic resonance imaging predicts platinum sensitivity in patients with epithelial ovarian cancer

KEAP1/NFE2L2 Mutations of Liquid Biopsy as Prognostic Biomarkers in Patients With Advanced Non-Small Cell Lung Cancer: Results From Two Multicenter, Randomized Clinical Trials

Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study

Synergistic role of activated CD4+ memory T cells and CXCL13 in augmenting cancer immunotherapy efficacy

Homologous recombination repair rathway and RAD54L in early-stage lung adenocarcinoma

Deep Learning Chest CT for Clinically Precise Prediction of Sepsis-Induced Acute Respiratory Distress Syndrome: A Protocol for an Observational Ambispective Cohort Study

Immune gene patterns and characterization of the tumor immune microenvironment associated with cancer immunotherapy efficacy

A Comprehensive Analysis of Programmed Cell Death-Associated Genes for Tumor Microenvironment Evaluation Promotes Precise Immunotherapy in Patients with Lung Adenocarcinoma

Unraveling the role of M1 macrophage and CXCL9 in predicting immune checkpoint inhibitor efficacy through multicohort analysis and single‐cell RNA sequencing

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