Results 161 to 170 of about 2,231,738 (318)
Single‐cell and spatial profiling of 110 human thoracic aortic samples reveals a stromal–immune circuit driving aortic dissection. An elastin‐rich fibroblast subset is depleted with age and markedly reduced in disease, weakening aortic wall integrity.
Jing Tao +25 more
wiley +1 more source
Partial Exchangeability and Partial Covariate Balance.
E. Suzuki, E. Yamamoto
semanticscholar +1 more source
Inhibitory Decay and Supercritical Brain Dynamics During Sleep Deprivation
Sleep deprivation progressively shifts human brain dynamics from near‐critical toward supercritical states, as revealed by neuronal avalanche analysis of resting‐state fMRI. These changes track subjective sleep pressure rather than vigilance lapses and show marked network heterogeneity. A circuit model suggests that reduced inhibitory efficacy provides
Dai Zhang +6 more
wiley +1 more source
Estimating the causal effects of exposure mixtures: a generalized propensity score method
Background In environmental epidemiology and many other fields, estimating the causal effects of multiple concurrent exposures holds great promise for driving public health interventions and policy changes. Given the predominant reliance on observational
Qian Gao +7 more
doaj +1 more source
This study applied AI to quantify multidimensional body composition from CT images in gastric cancer and healthy controls. Distinct sex‐specific patterns and disease‐related alterations were identified and were associated with survival. Higher muscle and fat measures were linked to improved outcomes.
Tianxiang Li +13 more
wiley +1 more source
How Balanced Should Causal Covariates Be?
Covariate balancing is a popular technique for controlling confounding in observational studies. It finds weights for the treatment group which are close to uniform, but make the group's covariate means (approximately) equal to those of the entire sample.
Kaul, Shiva, Kim, Min-Gyu
openaire +2 more sources
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
NMI Regulates Adipose Adaptive Thermogenesis Through TLR4/IRF3 Signaling to Promote Obesity
Adipose tissue‐derived NMI is secreted under metabolic stress and suppresses adaptive thermogenesis through TLR4/IRF3 signaling, repressing the PPARα/PGC‐1α/UCP1 thermogenic transcriptional program. Genetic ablation or anti ‐ NMI monoclonal antibody treatment enhances energy expenditure, protects against DIO, and ameliorates adipose tissue inflammation,
Ting‐Ting Li +7 more
wiley +1 more source
Sample Size for Confidence Interval of Covariate-Adjusted Mean Difference
This article provides a way to determine adequate sample size for the confidence interval of covariate-adjusted mean difference in randomized experiments.
Xiaofeng Steven Liu
core +1 more source
Mechanical Activation of Piezo1 Drives Osteoarthritis Through Kdm5c‐Mediated Epigenetic Silencing
Excessive mechanical stress activates Piezo1, triggering Ca2+‐dependent cytoskeletal forces that deform the nucleus and reduce H3K4me3. Kdm5c demethylates H3K4me3 at Col2a1 and Runx3 promoters. Kdm5c knockout rescues degradation. Repurposed telmisartan directly inhibits Kdm5c, blocking this axis and showing disease‐modifying efficacy in mouse OA models
Tianyou Kan +13 more
wiley +1 more source

