Results 71 to 80 of about 199,526 (313)
In order to make more effective use of Wi-Fi fingerprint data to position an object, an improved adaptive genetic algorithm (IAGA) is proposed to optimize the BP (Back Propagation) neural network, namely, IAGA-BP. In this method, the selection, crossover
Xuerong Cui+3 more
doaj +1 more source
EMT‐associated bias in the Parsortix® system observed with pancreatic cancer cell lines
The Parsortix® system was tested for CTC enrichment using pancreatic cancer cell lines with different EMT phenotypes. Spike‐in experiments showed lower recovery of mesenchymal‐like cells. This was confirmed with an EMT‐inducible breast cancer cell line.
Nele Vandenbussche+8 more
wiley +1 more source
In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková+14 more
wiley +1 more source
In thyroid cancer patients, high‐dose (≥7.4 GBq) radioactive iodine therapy (RAIT) was associated with a higher prevalence of clonal hematopoiesis (variant allele frequency >2%) in individuals aged ≥50 years (OR = 2.44). In silico analyses showed that truncating PPM1D mutations conferred a selective advantage under these conditions.
Jaeryuk Kim+11 more
wiley +1 more source
An Interference Links Selection Method Based on Genetic Algorithm
Focusing on interference alignment with partial interference links in multi-cell multiple input multiple output (MIMO)networks, an interference links selection scheme was proposed based on genetic algorithm.
Juan Meng+4 more
doaj +2 more sources
Chimeric diphtheria toxin–CCL8 cytotoxic peptide for breast cancer management
DTCCL8 is a recombinant fusion toxin that targets cancer cells expressing chemokine receptors. By combining diphtheria toxin with CCL8, DTCCL8 binds to multiple receptors on tumor cells and induces selective cytotoxicity. This strategy enables receptor‐mediated targeting of cancer and may support the development of chemokine‐guided therapeutics ...
Bernardo Chavez+5 more
wiley +1 more source
Neurogenetic Algorithm for Solving Combinatorial Engineering Problems
Diversity of the population in a genetic algorithm plays an important role in impeding premature convergence. This paper proposes an adaptive neurofuzzy inference system genetic algorithm based on sexual selection.
M. Jalali Varnamkhasti, Nasruddin Hassan
doaj +1 more source
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima+6 more
wiley +1 more source
Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation
Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides+13 more
wiley +1 more source
A genetic algorithm for POMM neighborhood selection
Genetic algorithms are stochastic search methods that simulate the metaphor of natural biological evolution. These algorithms operate on a population of potential solutions applying the principle of survival of the fittest to produce improved approximations (members) to a solution.
openaire +4 more sources