Hong Bu
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View article: Identification of heterophyllin B accumulation associated genes via WGCNA in Pseudostellaria heterophylla
Identification of heterophyllin B accumulation associated genes via WGCNA in Pseudostellaria heterophylla Open
Pseudostellaria heterophylla (Miq.) Pax ( P. heterophylla ) is a perennial medicinal herb in which heterophyllin B (HB) serves as one of the primary bioactive compounds. Identifying genes associated with HB accumulation is crucial for bree…
View article: Author Correction: HDAC1 and HDAC2 regulate oligodendrocyte differentiation by disrupting the β-catenin–TCF interaction
Author Correction: HDAC1 and HDAC2 regulate oligodendrocyte differentiation by disrupting the β-catenin–TCF interaction Open
View article: S100a4+ alveolar macrophages accelerate the progression of precancerous atypical adenomatous hyperplasia by promoting the angiogenic function regulated by fatty acid metabolism
S100a4+ alveolar macrophages accelerate the progression of precancerous atypical adenomatous hyperplasia by promoting the angiogenic function regulated by fatty acid metabolism Open
Lung cancer is preceded by premalignant lesions, and what factors drive this transformation and the potential regulatory mode in the context of tumor initiation remain to be elucidated. In the course of precancerous lesions in mice, we fou…
View article: Author response: S100a4+ alveolar macrophages accelerate the progression of precancerous atypical adenomatous hyperplasia by promoting the angiogenic function regulated by fatty acid metabolism
Author response: S100a4+ alveolar macrophages accelerate the progression of precancerous atypical adenomatous hyperplasia by promoting the angiogenic function regulated by fatty acid metabolism Open
View article: Development and validation of a 10-gene signature for predicting recurrence risk in HR+/HER2- early breast cancer undergoing chemo-endocrine therapy
Development and validation of a 10-gene signature for predicting recurrence risk in HR+/HER2- early breast cancer undergoing chemo-endocrine therapy Open
View article: Multimodal recurrence risk prediction model for HR+/HER2- early breast cancer following adjuvant chemo-endocrine therapy: integrating pathology image and clinicalpathological features
Multimodal recurrence risk prediction model for HR+/HER2- early breast cancer following adjuvant chemo-endocrine therapy: integrating pathology image and clinicalpathological features Open
Our multimodal recurrence risk prediction model is a practical and reliable tool that enhances the predictive power of existing systems relying solely on clinicopathological parameters. It offers improved recurrence risk prediction for HR+…
View article: S100a4+ alveolar macrophages accelerate the progression of precancerous atypical adenomatous hyperplasia by promoting the angiogenic function regulated by fatty acid metabolism
S100a4+ alveolar macrophages accelerate the progression of precancerous atypical adenomatous hyperplasia by promoting the angiogenic function regulated by fatty acid metabolism Open
Lung cancer is preceded by premalignant lesions, and what factors drive this transformation and the potential regulatory mode in the context of tumor initiation remain to be elucidated. In the course of precancerous lesions, we found a pha…
View article: Experts' Cognition-driven Safe Noisy Labels Learning for Precise Segmentation of Residual Tumor in Breast Cancer
Experts' Cognition-driven Safe Noisy Labels Learning for Precise Segmentation of Residual Tumor in Breast Cancer Open
Precise segmentation of residual tumor in breast cancer (PSRTBC) after neoadjuvant chemotherapy is a fundamental key technique in the treatment process of breast cancer. However, achieving PSRTBC is still a challenge, since the breast canc…
View article: Joint Compensation of Optical Power Errors in Resonant Micro Optic Gyroscopes via Second Harmonic Demodulation
Joint Compensation of Optical Power Errors in Resonant Micro Optic Gyroscopes via Second Harmonic Demodulation Open
View article: S100a4+ alveolar macrophages accelerate the progression of precancerous atypical adenomatous hyperplasia by promoting the angiogenic function regulated by fatty acid metabolism
S100a4+ alveolar macrophages accelerate the progression of precancerous atypical adenomatous hyperplasia by promoting the angiogenic function regulated by fatty acid metabolism Open
Lung cancer is preceded by premalignant lesions, and what factors drive this transformation and the potential regulatory mode in the context of tumor initiation remain to be elucidated. In the course of precancerous lesions in mice, we fou…
View article: <b>Experts' </b><b>C</b><b>ognition-Driven Ensemble Deep Learning </b><b>f</b><b>or External Validation of Predicting Pathological Complete Response to Neoadjuvant Chemotherapy </b><b>f</b><b>rom Histological Images in Breast Cancer</b>
<b>Experts' </b><b>C</b><b>ognition-Driven Ensemble Deep Learning </b><b>f</b><b>or External Validation of Predicting Pathological Complete Response to Neoadjuvant Chemotherapy </b><b>f</b><b>rom Histological Images in Breast Cancer</b> Open
In breast cancer, neoadjuvant chemotherapy (NAC) provides a standard treatment option for patients who have locally advanced cancer and some large operable tumors. A patient will have better prognosis when he has achieved a pathological co…
View article: Description of six new crab-spider species and first description of the male of Pharta xizang Liu &amp; Yao, 2023 from Medog, Xizang, China (Araneae, Thomisidae)
Description of six new crab-spider species and first description of the male of Pharta xizang Liu & Yao, 2023 from Medog, Xizang, China (Araneae, Thomisidae) Open
Seven species of the crab-spider family Thomisidae from Medog, Xizang, China are described here, including six new species: Camaricus medog Wang, Lu & Zhang, sp. nov. (♂♀), Monaeses xizang Wang, Lu & Zhang, sp. nov. (♂♀), Sinothomisus beib…
View article: Feasibility of knee magnetic resonance imaging protocol using artificial intelligence-assisted iterative algorithm protocols: comparison with standard MRI protocols
Feasibility of knee magnetic resonance imaging protocol using artificial intelligence-assisted iterative algorithm protocols: comparison with standard MRI protocols Open
Objective To evaluate the image quality and diagnostic performance of AI-assisted iterative algorithm protocols (AIIA) in accelerated fast spin-echo magnetic resonance imaging (MRI) versus standard (SD) fast spin-echo MRI for clinical 3.0 …
View article: S100a4 <sup>+</sup> alveolar macrophages accelerate the progression of precancerous atypical adenomatous hyperplasia by promoting the angiogenic function regulated by fatty acid metabolism
S100a4 <sup>+</sup> alveolar macrophages accelerate the progression of precancerous atypical adenomatous hyperplasia by promoting the angiogenic function regulated by fatty acid metabolism Open
Lung cancer is preceded by premalignant lesions, and what factors drive this transformation and the potential regulatory mode in the context of tumor initiation remain to be elucidated. In the course of precancerous lesions, we found a pha…
View article: Prognostic significance of ER-to-PR difference in ER+/HER2- early breast cancer
Prognostic significance of ER-to-PR difference in ER+/HER2- early breast cancer Open
ER+/HER2- breast cancer is a common subtype of breast cancer. This study aimed to evaluate the prognostic value of ER-to-PR difference (EPD) in ER+/HER2- early breast cancer (EBC). A retrospective cohort study was conducted, including 3,34…
View article: Validation of the practicability of logical assessment formula for evaluations with inaccurate ground-truth labels: An application study on tumour segmentation for breast cancer
Validation of the practicability of logical assessment formula for evaluations with inaccurate ground-truth labels: An application study on tumour segmentation for breast cancer Open
The logical assessment formula (LAF) is a new theory proposed for evaluations with inaccurate ground-truth labels (IAGTLs) to assess the predictive models for artificial intelligence applications. However, the practicability of LAF for eva…
View article: Gene panel predicts neoadjuvant chemoimmunotherapy response and benefit from immunotherapy in HER2-negative breast cancer
Gene panel predicts neoadjuvant chemoimmunotherapy response and benefit from immunotherapy in HER2-negative breast cancer Open
Background It is encountering the dilemma of lacking precise biomarkers to predict the response to neoadjuvant chemoimmunotherapy (NACI) and determine whether patients should use immune checkpoint inhibitors (ICIs) in early breast cancer (…
View article: Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images Open
Directly predicting human epidermal growth factor receptor 2 (HER2) status from widely available hematoxylin and eosin (HE)-stained whole slide images (WSIs) can reduce technical costs and expedite treatment selection. Accurately predictin…
View article: One-step in vivo gene knock-out in porcine embryos using recombinant adeno-associated viruses
One-step in vivo gene knock-out in porcine embryos using recombinant adeno-associated viruses Open
Introduction: Gene-edited pigs have become prominent models for studying human disease mechanisms, gene therapy, and xenotransplantation. CRISPR (clustered regularly interspaced short palindromic repeats)/CRISPR-associated 9 (CRISPR/Cas9) …
View article: DNAJC12 causes breast cancer chemotherapy resistance by repressing doxorubicin-induced ferroptosis and apoptosis via activation of AKT
DNAJC12 causes breast cancer chemotherapy resistance by repressing doxorubicin-induced ferroptosis and apoptosis via activation of AKT Open
DNAJC12 expression is closely linked to chemoresistance in BC. The DNAJC12-HSP70-AKT signaling axis is crucial in mediating resistance to chemotherapy by suppressing DOX-induced ferroptosis and apoptosis. Our findings suggest that targetin…
View article: Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images Open
Directly predicting human epidermal growth factor receptor 2 (HER2) status from widely available hematoxylin and eosin (HE)-stained whole slide images (WSIs) can reduce technical costs and expedite treatment selection. Accurately predictin…
View article: 336P Dual-mode near-infrared multispectral imaging system equipped with deep learning models improves the identification of cancer foci in breast cancer specimens
336P Dual-mode near-infrared multispectral imaging system equipped with deep learning models improves the identification of cancer foci in breast cancer specimens Open
View article: Exponential Distance Transform Maps for Cell Localization
Exponential Distance Transform Maps for Cell Localization Open
Cell localization is an important area of medical image analysis, which is dedicated to predicting the precise location of cells in an image. The existing localization paradigm is to predict the density map using a Convolutional Neural Net…
View article: Clinical outcome and therapeutic impact on neuroendocrine neoplasms of the breast: a national cancer database study
Clinical outcome and therapeutic impact on neuroendocrine neoplasms of the breast: a national cancer database study Open
View article: Near-Infrared II Hyperspectral Imaging Improves the Accuracy of Pathological Sampling of Multiple Cancer Types
Near-Infrared II Hyperspectral Imaging Improves the Accuracy of Pathological Sampling of Multiple Cancer Types Open
View article: Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels: An Application Study on Tumour Segmentation for Breast Cancer
Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels: An Application Study on Tumour Segmentation for Breast Cancer Open
The logical assessment formula (LAF) is a new theory proposed for evaluations with inaccurate ground-truth labels (IAGTLs) to assess the predictive models for artificial intelligence applications. However, the practicability of LAF for eva…
View article: Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer
Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer Open
In breast cancer, neoadjuvant chemotherapy (NAC) provides a standard treatment option for patients who have locally advanced cancer and some large operable tumors. A patient will have better prognosis when he has achieved a pathological co…
View article: Glutamine synthetase-negative hepatocellular carcinoma has better prognosis and response to sorafenib treatment after hepatectomy
Glutamine synthetase-negative hepatocellular carcinoma has better prognosis and response to sorafenib treatment after hepatectomy Open
Background: Glutamine synthetase (GS) and arginase 1 (Arg1) are widely used pathological markers that discriminate hepatocellular carcinoma (HCC) from intrahepatic cholangiocarcinoma; however, their clinical significance in HCC remains unc…
View article: Difference-Deformable Convolution with Pseudo Scale Instance Map for Cell Localization
Difference-Deformable Convolution with Pseudo Scale Instance Map for Cell Localization Open
Cell localization is still facing two unresolved challenges: 1) the large variability in cell size and shape, coupled with the heterogeneous intensity distribution of lightly stained cells, presents the bottleneck limiting accurate cell lo…
View article: Difference-Deformable Convolution with Pseudo Scale Instance Map for Cell Localization
Difference-Deformable Convolution with Pseudo Scale Instance Map for Cell Localization Open
Cell localization is still facing two unresolved challenges: 1) the large variability in cell size and shape, coupled with the heterogeneous intensity distribution of lightly stained cells, presents the bottleneck limiting accurate cell lo…