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Article
Open AccessMitochondrial respiratory chain component NDUFA4: a promising therapeutic target for gastrointestinal cancer
Gastrointestinal cancer, one of the most common cancers, continues to be a major cause of mortality and morbidity globally. Accumulating evidence has shown that alterations in mitochondrial energy metabolism a...
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Article
Open AccessEffective lung nodule detection using deep CNN with dual attention mechanisms
Novel methods are required to enhance lung cancer detection, which has overtaken other cancer-related causes of death as the major cause of cancer-related mortality. Radiologists have long-standing methods for...
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Article
MiR-7 deficiency promotes Th1 polarization of CD4+T cells and enhances the antitumor effect in adoptive cell therapy for lung cancer
Adoptive-cell-therapy (ACT) is important therapeutic approach against cancer. We previously showed that miR-7 deficiency endowed CD4+T cells with hyperactivation status in liver injury. However, whether CD4+T cel...
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Article
Open AccessDCCAFN: deep convolution cascade attention fusion network based on imaging genomics for prediction survival analysis of lung cancer
Recently, lung cancer prediction based on imaging genomics has attracted great attention. However, such studies often have many challenges, such as small sample size, high-dimensional information redundancy, a...
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Chapter and Conference Paper
GSPM: An Early Detection Approach to Sudden Abnormal Large Outflow in a Metro System
Early detection of Sudden Abnormal Large Outflow (SALO) aims to determine abnormal large outflows and locate the station where real-time outflow significantly exceeds expectations. SALO serves as a crucial indica...
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Chapter and Conference Paper
Enhanced HMM Map Matching Model Based on Multiple Type Trajectories
Map matching (MM) aims to align GPS trajectory with the actual roads on a map that vehicles pass through, essential for applications like trajectory search and route planning. The Hidden Markov Model (HMM) is ...
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Chapter and Conference Paper
MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles
Accurate and up-to-date digital road maps are the foundation of many applications, such as navigation and autonomous driving. Recently, the ubiquity of GPS devices in vehicular systems has led to an unpreceden...
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Chapter and Conference Paper
FMSYS: Fine-Grained Passenger Flow Monitoring in a Large-Scale Metro System Based on AFC Smart Card Data
In this paper, we investigate the real-time fine-grained passenger flows in a complex metro system. Our primary focus is on addressing crucial questions, such as determining the number of passengers on a movin...
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Article
Open AccessGraph Neural Network for representation learning of lung cancer
The emergence of image-based systems to improve diagnostic pathology precision, involving the intent to label sets or bags of instances, greatly hinges on Multiple Instance Learning for Whole Slide Images(WSIs...
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Article
A progressive phased attention model fused histopathology image features and gene features for lung cancer staging prediction
Identifying the stage of lung cancer accurately from histopathology images and gene is very important for the diagnosis and treatment of lung cancer. Despite the substantial progress achieved by existing metho...
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Article
Open AccessEpithelial plasticity and innate immune activation promote lung tissue remodeling following respiratory viral infection
Epithelial plasticity has been suggested in lungs of mice following genetic depletion of stem cells but is of unknown physiological relevance. Viral infection and chronic lung disease share similar pathologica...
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Article
Residual neural network with mixed loss based on batch training technique for identification of EGFR mutation status in lung cancer
Epidermal growth factor receptor (EGFR) is the key to targeted therapy with tyrosine kinase inhibitors in lung cancer. Traditional identification of EGFR mutation status requires biopsy and sequence testing, w...
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Article
Open AccessBispecific antibodies targeting BCMA, GPRC5D, and FcRH5 for multiple myeloma therapy: latest updates from ASCO 2023 Annual Meeting
Several bispecific antibodies (bsAbs) targeting BCMA, GPRC5D, and FcRH5 are in clinical trials for heavily pretreated multiple myeloma (MM) patients. Teclistamab was approved for relapsed/refractory MM therapy...
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Article
Open AccessCD20 × CD3 bispecific antibodies for lymphoma therapy: latest updates from ASCO 2023 annual meeting
Multiple bispecific antibodies (bsAbs) have been approved for cancer immunotherapy. Several CD20 × CD3 bsAbs have demonstrated significant anti-B-cell non-Hodgkin lymphoma (NHL) activity by engaging T cells to...
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Article
Multi-scale dense selective network based on border modeling for lung nodule segmentation
Accurate quantification of pulmonary nodules helps physicians to accurately diagnose and treat lung cancer. We try to improve the segmentation efficiency of irregular nodules while maintaining the segmentation...
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Article
A segmentation-based sequence residual attention model for KRAS gene mutation status prediction in colorectal cancer
In the computer-aided diagnosis of colorectal cancer, accurate determination of kratom sarcoma (KRAS) gene mutation status is crucial to provide better treatment for patients. In recent years, deep learning me...
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Article
MSTS-Net: malignancy evolution prediction of pulmonary nodules from longitudinal CT images via multi-task spatial-temporal self-attention network
Longitudinal CT images contain the law of lesion growth and evolution over time. Therefore, our purpose is to explore the growth and evolution law of pulmonary lesions in the time dimension to improve the perf...
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Article
Open AccessWeakly supervised label propagation algorithm classifies lung cancer imaging subtypes
Aiming at the problems of long time, high cost, invasive sampling damage, and easy emergence of drug resistance in lung cancer gene detection, a reliable and non-invasive prognostic method is proposed. Under t...
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Article
Open AccessTCR repertoire landscape reveals macrophage-mediated clone deletion in endotoxin tolerance
Endotoxin tolerance (ET) is a protective mechanism in the process of sepsis, septic shock, and their sequelae including uncontrolled inflammation. Accumulating evidence has shown that peripheral T cells contri...
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Article
Attention Matching Network for few-shot learning in the syndrome differentiation of cerebral stroke
Treatment based on Syndrome Differentiation is one of the most important characteristics of Traditional Chinese medicine (TCM). In recent years, Artificial Intelligence (AI) and Deep Learning has played a grea...
