Results 71 to 80 of about 1,479,521 (268)
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande +11 more
wiley +1 more source
ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang +8 more
wiley +1 more source
Seven-parameter PEMFC model optimization using an battlefield optimization algorithm
Precise modeling of Proton Exchange Membrane Fuel Cells (PEMFCs) requires accurate identification of key parameters, which are often unavailable from manufacturers but crucial for predicting fuel cell performance.
Manish Kumar Singla +7 more
doaj +1 more source
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization
We aimed to evaluate computer-aided diagnosis (CADx) system for lung nodule classification focusing on (i) usefulness of gradient tree boosting (XGBoost) and (ii) effectiveness of parameter optimization using Bayesian optimization (Tree Parzen Estimator,
Kojima, Ryosuke +6 more
core +2 more sources
Intein‐based modular chimeric antigen receptor platform for specific CD19/CD20 co‐targeting
CARtein is a modular CAR platform that uses split inteins to splice antigen‐recognition modules onto a universal signaling backbone, enabling precise, scarless assembly without re‐engineering signaling domains. Deployed here against CD19 and CD20 in B‐cell malignancies, the design supports flexible multi‐antigen targeting to boost T‐cell activation and
Pablo Gonzalez‐Garcia +9 more
wiley +1 more source
An Interactive Approach for Hierarchical Parameter Optimization
We propose a novel interactive parameter optimization technique which asks users to determine whether further exploration is required by using a hierarchical visualization technique. Our technique generates a k-d tree and uses the coefficient of multiple
Teppei TANAKA +3 more
doaj +1 more source
Enhancing Differential Evolution With Novel Parameter Control
In this paper, we proposed a novel DE variant named DE-NPC for real parameter single objective optimization. In DE-NPC algorithm, a novel adaptation scheme for the scale factor F is first proposed, which is based on the location information of the ...
Zhenyu Meng, Yuxin Chen, Xiaoqing Li
doaj +1 more source
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Background Traditional optimization methods often struggle to balance global exploration and local refinement, particularly in complex real-world problems.
Neha Majhi, Rajashree Mishra
doaj +1 more source
Process parameter optimization for lateral flow immunosensing
Lateral flow immunoassay (LFIA) is a widely used technique in the field of point-of-care diagnostics. Assembly of components such as sample pad, conjugate pad, nitrocellulose membrane (NCM), absorbent pad on the plastic backing laminate to prepare the ...
Vivek Borse, Rohit Srivastava
doaj +1 more source

