Results 131 to 140 of about 175,566 (257)

A Generalizable Multimodal Model for Treatment‐Stratified Risk and Survival Assessment under Real‐World Constraints: A Multi‐Center Study of Colorectal Cancer

Advanced Science, EarlyView.
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao, Zheyi Ji, Chang He, Jiying Wang, Xiaoming Luo, Junyi Liu, Xiaohu Jing, Fang Yan, Yirong Chen, Linhao Qu, Sen Yang, Le Lu, Yuming Jiang, Xiyue Wang, Chengyun Dou, Junhan Zhao   +15 more
wiley   +1 more source

BAMITA: Bayesian multiple imputation for tensor arrays. [PDF]

Biostatistics
Jiang Z, Li G, Lock EF.
europepmc   +1 more source

Context‐Dependent Inverse Association of Glucose–Lipid Metabolic Status With Anemia: Evidence From Multinational Multicohort Analyses

Advanced Science, EarlyView.
Across six multinational cohorts, higher triglyceride–glucose index values are consistently associated with lower prevalent and incident anemia, despite their established adverse cardiometabolic significance. This inverse relationship varies across inflammatory, cardiovascular, and renal contexts, suggesting that glucose–lipid metabolic status carries ...
Guosong Jiang, Xinxing Wang, Lianfeng Xie, Wenna Ding, Yingyong Yin, Mei Yao, Zhibo Cui, Kaiqiang Tang, Lijie Zhong, Zhi Wang, Jia Wang, Lei Lei, Xiaoxiao Qu, Chi‐E. Qiu   +13 more
wiley   +1 more source

A comparative simulation study of cluster ensemble algorithms integrated with multiple imputation for clustering with missing data. [PDF]

BMC Med Res Methodol
Tomo Y, Sato F, Oba M.
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

Standard rescue medication adjustments produce biased estimates of analgesic efficacy: reducing bias with multiple imputation for rescue adjustment (MIRA). [PDF]

Pain
Miller CJ, Farrar JT.
europepmc   +1 more source

Climate Change is Rewriting the Hydroclimatic Operating Envelope of Mines

Advanced Science, EarlyView.
Climate change is shown to shift the hydroclimatic operating envelope of mines: 16.2% of represented mine locations have already changed Köppen subtype, rising to 42.5% by late century under SSP5‐8.5. Divergent water trajectories are filtered through geology, infrastructure and lifecycle stage, indicating that adaptation requires monitored, scenario ...
Haoxuan Yu, Izni Zahidi, Chow Ming Fai, Jilong Pan   +3 more
wiley   +1 more source

The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimation. [PDF]

Stat Med
D'Agostino McGowan L.
europepmc   +1 more source

Hybrid Spring‐Coupled Broadband Energy Harvester Integrated with CuSCN Functionalized Triboelectric Vibration Sensor for Self‐Sustainable Vehicular IoTs

Advanced Science, EarlyView.
A self‐sustainable vehicular vibration and indoor environment monitoring IoT platform is developed which integrates a hybrid spring‐coupled broadband energy harvester with a machine learning‐assisted PAN‐CuSCN nanofiber triboelectric vibration sensor for subtle‐to‐wide‐range vibration detection and road/speed classification.
Trilochan Bhatta, Gagan Bahadur Pradhan, Shital Sharma, MoonSeong Jo, Aklesh Teli, Hochan Chang, Jae Yeong Park   +6 more
wiley   +1 more source

A comparative analysis in a clinical cohort: multiple imputation by chained equations and a novel super learner-based imputation approach. [PDF]

BMC Med Res Methodol
Zbysinski T, Wu L, Dale J, Coates J, Sapiah K, Reuben J, Markson F, Kulkarni U, Islam N.   +8 more
europepmc   +1 more source