Results 101 to 110 of about 290,643 (260)
Vladimir Holan,1,2 Eliska Javorkova,1,2 Barbora Hermankova,1 Pavel Rossner1 1Department of Toxicology and Molecular Epidemiology, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic; 2Department of Cell Biology ...
Holan V +3 more
doaj
Editorial: Molecular Epidemiology of Fungal Infections
Min Chen +4 more
doaj +1 more source
Background Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, Escherichia coli, Streptococcus pneumoniae and Staphylococcus aureus are major bacterial causes of lower respiratory tract infections (LRTIs) globally, leading to ...
Tran Thi Ngoc Dung +10 more
doaj +1 more source
Molecular Epidemiology of SARS-CoV-2 in Bangladesh
Mutation is one of the most important drivers of viral evolution and genome variability, allowing viruses to potentially evade host immune responses and develop drug resistance.
Abu Sayeed Mohammad Mahmud +16 more
doaj +1 more source
Fibrotic liver stiffness activates hepatic stellate cells through Piezo1‐dependent calcium influx and ER stress, promoting EV‐associated GMFG release. Delivered GMFG engages TNS4 in pancreatic cancer cells, triggering FAK/AKT signaling, adhesion, and fatty acid synthesis.
Biwen Zhu +11 more
wiley +1 more source
A pH/MMP dual‐responsive Bifidobacterium longum (BL) hydrogel (INPs@BL@Gel) functionalized with baicalin, tyrosine, and inulin is constructed. It enables gastric protection, inflammation‐targeted release, and prolonged intestinal colonization. By remodeling gut microbiota, elevating beneficial neuroactive metabolites (homovanillic acid, short‐chain ...
Shuo Zhang +17 more
wiley +1 more source
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang +10 more
wiley +1 more source
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang +10 more
wiley +1 more source

