Results 151 to 160 of about 495,754 (290)
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
This study uncovered a dual‐track mechanism by which ADAMTS9‐AS2 overcame chemoresistance in CRPC: suppressing cancer stemness through the FOXF2/TGF‐β2 pathway, and triggering ferroptosis via competitive SLC7A11 sequestration. Polymeric materials co‐targeting these vulnerabilities further boost docetaxel sensitivity, highlighting a compelling strategy ...
Ji Liu +12 more
wiley +1 more source
Further results involving Marshall-Olkin log-logistic distribution: reliability analysis, estimation of the parameter, and applications. [PDF]
Alshangiti AM, Kayid M, Alarfaj B.
europepmc +1 more source
We developed a real‐time, label‐free, high‐throughput cell‐on‐a‐chip system based on a metasurface plasmon resonance colorimetric sensor (MetaSPRCS) to evaluate intestinal barrier function. This platform enables continuous monitoring of cell adhesion, proliferation, and barrier layer formation, disruption, and repair.
Youqian Chen +14 more
wiley +1 more source
A parametric method for cumulative incidence modeling with a new four-parameter log-logistic distribution. [PDF]
Shayan Z, Ayatollahi SM, Zare N.
europepmc +1 more source
Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture
Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang +11 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
This research explores Bayesian and classical estimation methods for the Log Logistic distribution, focusing on upper record values in bladder cancer remission times.
Rabia Azeem +2 more
doaj +1 more source
Cholesterol is revealed as a multitasking fuel for lung adenocarcinoma brain metastasis: it locks EGFR at the membrane to sustain AKT/NF‐κB–driven glycolysis and EMT, loosens the blood–brain barrier by promoting Claudin‐5 loss, and rewires microglia through IL‐4R lipid‐raft–JAK1/STAT6 signaling.
Ying Chen +14 more
wiley +1 more source
This paper investigates maximum likelihood estimation (MLE) of the scale parameter, denoted as α, and shape parameter, denoted as β, in the context of the log–logistic distribution, employing median ranked set sampling (MRSS).
doaj +1 more source

