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147 Result(s)
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Article
Open AccessToward the next generation EGFR inhibitors: an overview of osimertinib resistance mediated by EGFR mutations in non-small cell lung cancer
Epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) is currently the standard first-line therapy for EGFR-mutated advanced non-small cell lung cancer (NSCLC). The life quality and survival of th...
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Article
Attention-based deep learning for breast lesions classification on contrast enhanced spectral mammography: a multicentre study
This study aims to develop an attention-based deep learning model for distinguishing benign from malignant breast lesions on CESM.
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Article
Open AccessMean platelet volume/platelet count ratio in combination with tumor markers in colorectal cancer: a retrospective clinical study
Mean platelet volume (MPV) is a marker of platelet activation, which is usually negatively correlated with platelet count (PC). The ratio of MPV to PC (MPV/PC) has an essential role in the diagnosis of multipl...
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Article
Real-time fluorescent cholangiography with indocyanine green in laparoscopic cholecystectomy: a randomized controlled trial to establish the optimal indocyanine green dose within 30 min preoperatively
To establish the optimal dose of indocyanine green (ICG) to administer intravenously 30 min before laparoscopic cholecystectomy (LC).
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Article
Fludarabine- and low-dose cyclophosphamide-based conditioning regimens provided favorable survival and engraftment for unmanipulated hematopoietic cell transplantation from unrelated donors and matched siblings in patients with Fanconi anemia: results from the CBMTR
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Chapter and Conference Paper
A Correlational Strategy for the Prediction of High-Dimensional Stock Data by Neural Networks and Technical Indicators
Stock price prediction generates interesting outputs for investors. In recent years, stock technical indicators (STI) have played an important role in stock price prediction. However, the current performance o...
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Article
Open AccessGCNCPR-ACPs: a novel graph convolution network method for ACPs prediction
Anticancer peptide (ACP) inhibits and kills tumor cells. Research on ACP is of great significance for the development of new drugs, and the prediction of ACPs and non-ACPs is the new hotspot.
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Article
Intermedin1–53 Inhibits NLRP3 Inflammasome Activation by Targeting IRE1α in Cardiac Fibrosis
Intermedin (IMD), a paracrine/autocrine peptide, protects against cardiac fibrosis. However, the underlying mechanism remains poorly understood. Previous study reports that activation of nucleotide-binding oli...
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Article
Open AccessGenetic evidence supports the development of SLC26A9 targeting therapies for the treatment of lung disease
Over 400 variants in the cystic fibrosis (CF) transmembrane conductance regulator (CFTR) are CF-causing. CFTR modulators target variants to improve lung function, but marked variability in response exists and cur...
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Chapter
Unknown Primary/Undifferentiated Neoplasms
This chapter provides a practical overview of frequently used markers in the diagnosis and differential diagnosis of both common and rare metastatic tumors and undifferentiated neoplasms with a specific focus ...
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Chapter and Conference Paper
Temporal Convolution Network Based on Attention for Intelligent Anomaly Detection of Wind Turbine Blades
With the concept of “carbon neutral”, wind power industry ushers in a golden period of development. Wind turbine blades are the key components of wind turbine, their normal operation directly affects the opera...
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Chapter
Prostate Gland
This chapter provides a practical overview of frequently used markers in the diagnosis and differential diagnosis of both common and rare neoplasms of prostate gland, with a specific focus on adenocarcinoma an...
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Chapter
Kidney
This chapter provides a practical overview of frequently used markers in the diagnosis and differential diagnosis of both common and rare renal neoplasms, with a specific focus on renal epithelial tumors and t...
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Chapter
Pancreas and Ampulla
This chapter provides a practical overview of frequently used markers in the diagnosis and differential diagnosis of both common and rare pancreatic and ampullary neoplasms, with a specific focus on pancreatic...
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Chapter
Upper Gastrointestinal Tract
The application of immunohistochemistry (IHC) in diagnostic gastrointestinal (GI) pathology is similar to that in many other organ systems. The most commonly used markers are epithelial cell markers, such as c...
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Chapter
RNA In Situ Hybridization: Applications in Anatomic Pathology
This chapter focuses on RNA in situ hybridization (RNA ISH) technology and applications of RNA ISH in anatomic pathology. Over the last several years, novel RNA ISH methods that utilize signal amplification, s...
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Chapter
Thyroid, Parathyroid, and Adrenal Glands
This chapter provides a practical overview of frequently used markers in the diagnosis and differential diagnosis of both common and rare neoplasms of the thyroid, parathyroid and adrenal glands, with a specif...
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Chapter
Liver, Bile Ducts, and Gallbladder
Immunohistochemistry (IHC) is an indispensable tool for pathological diagnosis of both neoplastic and non-neoplastic diseases of the liver and biliary tract. It has a wide spectrum of application ranging from ...
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Chapter
Standardization of Diagnostic Immunohistochemistry
Standardization of every step in the pre-analytic, analytic, and post-analytic phases is crucial to achieving reproducible and reliable immunohistochemistry results. This chapter delineates some critical point...
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Chapter
Lower Gastrointestinal Tract and Microsatellite Instability (MSI)
By conventional definition, the lower gastrointestinal (GI) tract includes the appendix, entire colon, and anus. Diseases involving these organs are traditionally classified into nonneoplastic and neoplastic c...