Results 181 to 190 of about 73,109 (211)
Metrnβ serves as a novel prognostic biomarker for sepsis and that targeted blockade of the Metrnβ‐c‐Kit axis represents a promising therapeutic strategy for sepsis. Abstract Sepsis is a heterogeneous syndrome critically driven by immunosuppression, yet lacking personalized prognostic markers and therapeutic targets. Here, we provide evidence to support
Xiao Li +15 more
wiley +1 more source
ABSTRACT The N‐acylhydrazone scaffold is recognized as a privileged structure for the design of bioactive substances with increasing applications in medicinal chemistry research. Ensuring the safety of newly developed molecules is a critical step for both human health and environmental protection. Accordingly, this study aimed to evaluate the cytotoxic
Larissa Ribeiro Canuto Santos +4 more
wiley +1 more source
Molecular Functions and Drug Prediction of MMP1 and TGFBR2 in Nasopharyngeal Carcinoma
MMP1 and TGFBR2 were validated by machine learning and external datasets as the candidate genes. Dexamethasone showed strong binding affinity to MMP1 (−7.72 kcal/mol) and TGFBR2 (−7.27 kcal/mol) in docking studies. Knockdown of MMP1 repressed the malignant phenotypes of NPC cells.
Feng Wang +5 more
wiley +1 more source
This graphical abstract summarizes a workflow‐based Reflex rule optimization for the Sysmex XN‐9100 automated hematology line. A total of 78,364 routine complete blood count samples were analyzed by middleware simulation. The optimized strategy differentiated initial from follow‐up visit samples, incorporated 7‐day historical fluctuation thresholds ...
Lianhui Yu +5 more
wiley +1 more source
This graphical abstract illustrates the prognostic significance of systemic inflammatory markers in Multiple Myeloma (MM). The left panel depicts the immunosuppressive tumor microenvironment, where abundant neutrophils and M2 macrophages promote MM cell survival while lymphocytes are depleted.
Lihong Zhang, Bing Ma, Jingyu Zhang
wiley +1 more source
We developed logistic regression models integrating routine complete blood count (CBC) parameters and analyzer‐derived cell population data (CPD) to predict RT‐PCR–confirmed dengue infection and evaluated their performance across internal and external settings.
Lin‐Chen Hsu +2 more
wiley +1 more source
This cross‐sectional study evaluated the feasibility of applying machine learning for complete blood count autoverification. Among 63,201 CBC results, the XGBoost model achieved higher sensitivity and predictive values compared with the traditional rule‐based system. ABSTRACT Background Autoverification improves laboratory efficiency by reducing manual
Sinsorn Srirujee +1 more
wiley +1 more source
Abstract Infectious diseases remain a leading cause of morbidity and mortality among pediatric transplant recipients, despite significant advances in transplantation management. Vaccination is the most effective strategy to prevent infections; however, its efficacy is hindered in solid organ transplant (SOT) and hematopoietic stem cell transplant (HSCT)
Valeria Casotti +35 more
wiley +1 more source
ABSTRACT Contrast‐induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventive strategies remain limited. This study investigated the renoprotective effects of riociguat, a soluble guanylate cyclase stimulator, in an experimental rat model of CIN and explored machine ...
Mustafa Begenc Tascanov +10 more
wiley +1 more source

