Results 81 to 90 of about 199,526 (313)
This work, introduces different powerful chemometric methods for determination of cefoxitin-sodium in presence of its alkali-induced degradation product without prior separation steps, dubbed; Principal component regression, Partial least squares with ...
Khalid Abdel-Salam M. Attia+3 more
doaj
A dynamic adaptive particle swarm optimization and genetic algorithm is presented to solve constrained engineering optimization problems. A dynamic adaptive inertia factor is introduced in the basic particle swarm optimization algorithm to balance the ...
Hao Zhu, Yumei Hu, Weidong Zhu
doaj +1 more source
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova+26 more
wiley +1 more source
Proteomic and phosphoproteomic analyses were performed on lung adenocarcinoma (LUAD) tumors with EGFR, KRAS, or EML4–ALK alterations and wild‐type cases. Distinct protein expression and phosphorylation patterns were identified, especially in EGFR‐mutated tumors. Key altered pathways included vesicle transport and RNA splicing.
Fanni Bugyi+12 more
wiley +1 more source
GENETIC ALGORITHM BASED LOAD FLOW SOLUTION PROBLEM IN ELECTRICAL POWER SYSTEMS
In this paper, a proposed method based on real-coded genetic algorithm is presented and applied to solve multiple load flow solution problem. Genetic algorithm is a kind of stochastic search algorithm based on the mechanics of natural selection and ...
Hassan A. Kubba, Samir Sami Mahmood
doaj +1 more source
Pericytes change function depending on glioblastoma vicinity: emphasis on immune regulation
Pericytes alter their transcriptome depending on their proximity to the tumor core. In the tumor core, pericytes display a more active state with higher communication strength but with lower immune activation potential and a shift toward extracellular matrix production.
Carolina Buizza+5 more
wiley +1 more source
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi+2 more
wiley +1 more source
ABSTRACT Objective To provide a comprehensive clinical and genetic characterization of individuals with arthrogryposis multiplex congenita (AMC), focusing on the distribution of genetic etiologies across the neuromuscular spectrum and comparing myogenic and neurogenic subtypes. Methods A total of 105 individuals with AMC were clinically and genetically
Florencia Pérez‐Vidarte+13 more
wiley +1 more source
NMDAR‐Antibody Encephalitis Diagnosed With Primary Central Nervous System Lymphoma: A Case Series
ABSTRACT N‐methyl‐D‐aspartate receptor‐antibody encephalitis (NMDAR encephalitis) is one of the most common forms of autoimmune encephalitis, with a paraneoplastic relationship described in approximately 38%. Primary central nervous system lymphoma (PCNSL) is a rare hematologic malignancy that is not often considered as the underlying neoplasm in this ...
Soo Hyun Ahn+4 more
wiley +1 more source
Phenotyping Healthcare Use 2–3 Decades Before the First Multiple Sclerosis Demyelinating Event
ABSTRACT Objective Phenotype hospital, physician, and emergency department (ED) visits by diagnoses and specialty up to 29 years pre‐multiple sclerosis (MS) onset versus a matched population without MS. Methods We identified people with MS (PwMS) using population‐based administrative data from Ontario, Canada (1991–2020).
Helen Tremlett+8 more
wiley +1 more source