Results 91 to 100 of about 6,048,895 (335)

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

open access: yesMolecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu   +9 more
wiley   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso   +5 more
wiley   +1 more source

Adaptive Evolutionary Computing Ensemble Learning Model for Sentiment Analysis

open access: yesApplied Sciences
Standard machine learning and deep learning architectures have been widely used in the field of sentiment analysis, but their performance is unsatisfactory if the input texts are short (e.g., social media posts).
Xiao-Yang Liu   +4 more
doaj   +1 more source

Spatial heterogeneity of hotspot mutations and clonal relatedness in ovarian endometrioid carcinoma

open access: yesMolecular Oncology, EarlyView.
Spatially resolved analysis revealed heterogeneous distributions of selected cancer‐associated mutations within ovarian endometrioid carcinomas. Shared mutations between paired endometrial and ovarian tumors supported clonal relatedness. These findings highlight the value of sampling multiple tumor regions when interpreting molecular profiles ...
Takahito Ashihara   +10 more
wiley   +1 more source

The Evolution of Evolutionary Computation [PDF]

open access: yes, 2003
Evolutionary computation has enjoyed a tremendous growth for at least a decade in both its theoretical foundations and industrial applications. Its scope has gone far beyond binary string optimisation using a simple genetic algorithm. Many research topics in evolutionary computation nowadays are not necessarily ”genetic” or ”evolutionary” in any ...
openaire   +1 more source

Vascular normalization confers an endothelial immune suppressive gene expression profile

open access: yesMolecular Oncology, EarlyView.
We compare the immunoregulatory gene expression profiles of healthy endothelial cells or endothelial cells from tumors having a normalized endothelium (low leakage) with that of wild‐type tumors (high leakage) and observe that the wild‐type tumor endothelium exhibits immunostimulatory properties.
Liqun He, Michael Welsh
wiley   +1 more source

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

open access: yesFEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão   +3 more
wiley   +1 more source

Evolutionary Computing for the Radiative-Convective Heat Transfer of a Wetted Wavy Fin Using a Genetic Algorithm-Based Neural Network. [PDF]

open access: yesBiomimetics (Basel), 2023
Poornima BS   +5 more
europepmc   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova   +2 more
wiley   +1 more source

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