Results 221 to 230 of about 459,600 (289)
Practical Considerations for Incorporating Equity More Explicitly in Australian Health Technology Assessment Processes. [PDF]
Killedar A +3 more
europepmc +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
CellCraft: an extensible visual programming application for gene regulatory network inference. [PDF]
Shin D, Kim JH, Sung R, Kim J, Lee D.
europepmc +1 more source
Laterally spreading tumors (LSTs) are precancerous colorectal lesions characterized by a flat morphology. This study reveals a mechanochemical pathway through which a soft matrix microenvironment diminishes spatial constraints in intestinal adenomas. This process promotes deficiencies in tight junction proteins, mediated by the mechanoreceptor ADORA2B ...
Jiamin Zhong +21 more
wiley +1 more source
Classified modeling and day-ahead optimal scheduling of multi-type adjustable industrial loads in industrial microgrid using improved approximate dynamic programming. [PDF]
Sun T +5 more
europepmc +1 more source
Species Dependent Toxicity Comparison Outcome
By quantitatively assessing and comparing toxicity responses across different animal species and material compositions, our data reveal that toxicity rankings among different materials may be reversed across species. ABSTRACT Toxicity comparison plays a crucial role in material selection across diverse application fields.
Lian Xiao +7 more
wiley +1 more source
A symbolic dataset for large language models to solve second kind Fredholm integral equations. [PDF]
Dana Mazraeh H +3 more
europepmc +1 more source
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng +17 more
wiley +1 more source

