Results 161 to 170 of about 113,247 (266)

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

Advanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang, Zexi Chen, Yuanxiang Miao, Zuolin Shen, Deyu Cai, Shijie Tang, Yun Xue, Weifeng Guo, Hongbin Ji, Jian Liu, Kazuyuki Aihara, Luonan Chen   +11 more
wiley   +1 more source

When are novel methods for analyzing complex chemical mixtures in epidemiology beneficial? [PDF]

Environ Epidemiol
Wiecha N, Griffith E, Reich BJ, Hoppin JA.   +3 more
europepmc   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Contributions of Gray Matter Microstructure to Differences in Fluid Cognition and Episodic Memory Across the Healthy Adult Lifespan. [PDF]

Hum Brain Mapp
Merenstein JL, Bennett IJ, Madden DJ.
europepmc   +1 more source

De Novo Designed Minibinders Targeting the GDF15–GFRAL Axis Reverse Cancer Cachexia and Restore Anti‐Tumor Immunity

Advanced Science, EarlyView.
Tumor‐derived GDF15 drives cancer cachexia and suppresses antitumor immunity. Here, de novo designed minibinders targeting the GDF15–GFRAL interface achieve picomolar affinity and potent pathway blockade. The minibinders alleviate cachexia, restore CD8+ T‐cell infiltration, enhance anti–PD‐1 responsiveness, and provide survival benefits across tumor ...
Haitao Wang, Tianzhen Hua, Meiling Wang, Bingbing Meng, Yue Zhang, Chengxu Jiang, Yunhe Gao, Hongqi Yang, Jian Bo   +8 more
wiley   +1 more source

Machine learning-based prediction of biomass pyrolysis kinetics: integrating mechanistic modeling and compositional features. [PDF]

RSC Adv
Asif M, Hakeem L, Yao C, Hira, Bibi R, Bilal M, Zeb H.   +6 more
europepmc   +1 more source

Wearable‐Derived Diurnal Alignment Between Physical Activity and Device Temperature Predicts Future Disease and Mortality Risk

Advanced Science, EarlyView.
Wearable‐derived diurnal alignment between physical activity and device temperature, decomposed into 24 h coupling strength (M24), phase deviation (D24), and 12 h harmonic magnitude (M12), is examined in approximately 90,000 UK Biobank participants.
Han Chen, Jiahe Wei, Jonathan Cedernaes, Christian Benedict, Athanasios Tsanas, Zhi Cao, Xiao Tan   +6 more
wiley   +1 more source

The relationship between nutrition, diet, and early childhood caries: A cross-sectional study using 2009 to 2014 NHANES data. [PDF]

Medicine (Baltimore)
Ren LS, Ji ZY, Ma SC, Li HY, Zhang XX, Sun Q, Li TK, Liu LH.   +7 more
europepmc   +1 more source

Advancing the Design of High‐Efficiency Printable Hole‐Conductor‐Free Mesoscopic Perovskite Solar Cells Through Machine Learning

Advanced Science, EarlyView.
Based on the largest printable mesoscopic perovskite solar cells database we established, stacking model achieved precise PCE prediction (R2 = 0.73, MAE = 2.18%). Multiple experiments verified the accuracy of the model, which guided the fabrication of high‐PCE devices with an efficiency of 19.36%.
Hao Meng, Jingzi Zhang, Xu Zhu, Yuelin Wang, Antai Yang, Kailong Hu, Chengquan Zhong, Jiakai Liu, Menghan Dun, Xi Lin   +9 more
wiley   +1 more source

ZJU index and prevalence of kidney stones in US adults: evidence for a threshold association from NHANES 2007-2018. [PDF]

Transl Androl Urol
Yang J, Cao J, Liu J, Cheng Q, Nie AP.
europepmc   +1 more source