Search Results - "SHEN, Jeanne"
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Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study
Published in The lancet oncology (01-01-2021)“…Detecting microsatellite instability (MSI) in colorectal cancer is crucial for clinical decision making, as it identifies patients with differential treatment…”
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Microsatellite Instability and BRAF Mutation Testing in Colorectal Cancer Prognostication
Published in JNCI : Journal of the National Cancer Institute (07-08-2013)“…BRAF mutation in colorectal cancer is associated with microsatellite instability (MSI) through its relationship with high-level CpG island methylator phenotype…”
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3
Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images
Published in Scientific reports (21-01-2021)“…Recurrence risk stratification of patients undergoing primary surgical resection for hepatocellular carcinoma (HCC) is an area of active investigation, and…”
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4
The persistent problem of new-onset postoperative atrial fibrillation: A single-institution experience over two decades
Published in The Journal of thoracic and cardiovascular surgery (01-02-2011)“…Objective Postoperative atrial fibrillation is the most common complication after cardiac surgery. A variety of postoperative atrial fibrillation risk factors…”
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5
A temporal switch from notch to Wnt signaling in muscle stem cells is necessary for normal adult myogenesis
Published in Cell stem cell (10-01-2008)“…The temporal switch from progenitor cell proliferation to differentiation is essential for effective adult tissue repair. We previously reported the critical…”
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SWI/SNF component ARID1A restrains pancreatic neoplasia formation
Published in Gut (01-07-2019)“…is commonly mutated in pancreatic ductal adenocarcinoma (PDAC), but the functional effects of mutations in the pancreas are unclear. Understanding the…”
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Pepsinogens and Gastrin Demonstrate Low Discrimination for Gastric Precancerous Lesions in a Multi-Ethnic United States Cohort
Published in Clinical gastroenterology and hepatology (01-04-2022)“…Early identification of gastric precancerous lesions, including atrophic gastritis (AG) and intestinal metaplasia (IM), may improve gastric cancer detection…”
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Impact of a deep learning assistant on the histopathologic classification of liver cancer
Published in NPJ digital medicine (26-02-2020)“…Artificial intelligence (AI) algorithms continue to rival human performance on a variety of clinical tasks, while their actual impact on human diagnosticians,…”
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Continuity of transcriptomes among colorectal cancer subtypes based on meta-analysis
Published in Genome Biology (25-09-2018)“…Previous approaches to defining subtypes of colorectal carcinoma (CRC) and other cancers based on transcriptomes have assumed the existence of discrete…”
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Enteric Glia Play a Critical Role in Promoting the Development of Colorectal Cancer
Published in Frontiers in oncology (13-11-2020)“…Enteric glia are a distinct population of peripheral glial cells in the enteric nervous system that regulate intestinal homeostasis, epithelial barrier…”
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Clinical, pathologic, and outcome study of hyperplastic and sessile serrated polyps in inflammatory bowel disease
Published in Human pathology (01-10-2015)“…Summary There is evidence that some cancers in patients with inflammatory bowel disease (IBD) develop via the serrated pathway of carcinogenesis. This study…”
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Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning
Published in Communications medicine (24-04-2023)“…Background Presence of lymph node metastasis (LNM) influences prognosis and clinical decision-making in colorectal cancer. However, detection of LNM is…”
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Inflamed immune phenotype predicts favorable clinical outcomes of immune checkpoint inhibitor therapy across multiple cancer types
Published in Journal for immunotherapy of cancer (14-02-2024)“…BackgroundThe inflamed immune phenotype (IIP), defined by enrichment of tumor-infiltrating lymphocytes (TILs) within intratumoral areas, is a promising…”
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Prediction of immunochemotherapy response for diffuse large B‐cell lymphoma using artificial intelligence digital pathology
Published in The journal of pathology. Clinical research (01-05-2024)“…Diffuse large B‐cell lymphoma (DLBCL) is a heterogeneous and prevalent subtype of aggressive non‐Hodgkin lymphoma that poses diagnostic and prognostic…”
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15
The surgical treatment of atrial fibrillation
Published in Heart rhythm (01-08-2009)“…For two decades, the cut-and-sew Cox-maze III procedure was the gold standard for the surgical treatment of atrial fibrillation (AF) and has proven to be…”
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Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation
Published in IEEE transactions on medical imaging (01-12-2021)“…Suboptimal generalization of machine learning models on unseen data is a key challenge which hampers the clinical applicability of such models to medical…”
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In the Thick of It: The Many Faces of Collagenous Gastritis
Published in Digestive diseases and sciences (01-06-2020)Get full text
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Single-cell analyses define a continuum of cell state and composition changes in the malignant transformation of polyps to colorectal cancer
Published in Nature genetics (01-07-2022)“…To chart cell composition and cell state changes that occur during the transformation of healthy colon to precancerous adenomas to colorectal cancer (CRC), we…”
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Clinical, Pathologic, and Biologic Features Associated with BRAF Mutations in Non―Small Cell Lung Cancer
Published in Clinical cancer research (15-08-2013)“…BRAF mutations are found in a subset of non-small cell lung cancers (NSCLC). We examined the clinical characteristics and treatment outcomes of patients with…”
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Development and Validation of a Machine Learning Model for Detection and Classification of Tertiary Lymphoid Structures in Gastrointestinal Cancers
Published in JAMA network open (03-01-2023)“…Tertiary lymphoid structures (TLSs) are associated with a favorable prognosis and improved response to cancer immunotherapy. The current approach for…”
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