Results 211 to 220 of about 1,818,334 (300)

Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning

Advanced Science, EarlyView.
A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Jinwook Yeo, Peter Serles, Donggeun Park, Julia R. Greer, Seunghwa Ryu   +4 more
wiley   +1 more source

Selection Biases in Perinatal Research: A Comparison of Inverse Probability Weighting, Instrumental Variable and Sibling-Comparison Design. [PDF]

Paediatr Perinat Epidemiol
Dib BN, Caniglia EC, Brummel S, Shapiro R, Swanson SA.   +4 more
europepmc   +1 more source

Early life exposure to greenness and executive function and behavior: An application of inverse probability weighting of marginal structural models. [PDF]

Environ Pollut, 2021
Jimenez MP, Aris IM, Rifas-Shiman S, Young J, Tiemeier H, Hivert MF, Oken E, James P.   +7 more
europepmc   +1 more source

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

Advanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin, Yujia Shi, Ruoyu Zhang, Yong Xiang, Jinghong Qiu, Pak‐Chung Sham, Hon‐Cheong So   +6 more
wiley   +1 more source

Case-mix adjustment through inverse probability weighting to compare health indicators across territories or providers - an application in the agency for health protection of Milan. [PDF]

BMC Health Serv Res
Mazzali C, Andreano A, Magnoni P, Salvatori A, Testa D, Milanese A, Zanfino A, Russo AG.   +7 more
europepmc   +1 more source

Inverse probability weighting is an effective method to address selection bias during the analysis of high dimensional data. [PDF]

Genet Epidemiol, 2021
Carry PM, Vanderlinden LA, Dong F, Buckner T, Litkowski E, Vigers T, Norris JM, Kechris K.   +7 more
europepmc   +1 more source

A Biomimetic cRGDyk‐Engineered Platelet Nanoplatform for ACAD11 Delivery to Trigger Pyroptosis in Hepatocellular Carcinoma

Advanced Science, EarlyView.
A biomimetic platelet nanoplatform (OE‐ACAD11@R‐PLT) is developed for targeted hepatocellular carcinoma immunotherapy. By selectively delivering therapeutic plasmids, this system induces mitochondrial dysfunction and triggers robust NLRP3/Caspase‐1/GSDMD‐mediated pyroptosis in tumor cells.
Hongyi Bao, Wei Feng, Wei Zong, Yi Li, Xinyue Qin, Xinyue Wang, Yubo Yang, Guanhua Chen, Yiting Hou, Xuan Tan, Lin Chen, Ming Zhang, Feng Wang   +12 more
wiley   +1 more source

Inverse probability weighting to estimate impacts of hypothetical occupational limits on radon exposure to reduce lung cancer. [PDF]

Am J Epidemiol
Keil AP, Li Y, Lan Q, Bertke S, Daniels RD, Edwards JK, Kelly-Reif K.   +6 more
europepmc   +1 more source

Data‐Driven and Physics‐Informed Modeling Perspectives for Soft Manipulators: From SINDy to Hybrid Intelligence

Advanced Science, EarlyView.
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui, Yunyi Wang, Teng Zhang, Yang Chen, Min Pan   +4 more
wiley   +1 more source

Sex-based differences in inflammatory predictors of outcomes in patients undergoing mechanical thrombectomy: an inverse probability weighting analysis. [PDF]

Ther Adv Neurol Disord
Prandin G, Foschi M, Valente M, Zhang L, Malhotra P, Sacco S, Ornello R, Toraldo F, Maisano D, Del Regno C, Komauli F, Gartner Jarmillo A, Al-Karadsheh H, Zahid H, Klein P, Abdalkader M, Manganotti P, Lobotesis K, Nguyen TN, Gigli GL, Banerjee S, Merlino G, D'Anna L.   +22 more
europepmc   +1 more source