Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Tissue expansion, originally developed for super-resolution imaging, has become a foundation for expansion omics (ExO), a ...

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...

A new AI dataset teaches machines to smell by associating smell data with images, letting models match odors to objects, ...

Damaged mitochondria can be eliminated from the cell by the PINK1-Parkin mitophagy pathway, but whether there is a convergent ...

This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...

Abstract: We propose a sparsity-promoting feedback control design for stochastic linear systems with multiplicative noise. The objective is to identify an optimal sparse control architecture and ...

In the past few years, rapid development has been witnessed in spacecraft formation to complete complex missions instead of ...

Background Eosinophilic oesophagitis (EoE) is a chronic allergic disease characterised by oesophageal epithelial remodelling, barrier dysfunction and inflammation. The transcription factor forkhead ...

Background Left ventricular mass (LVM) is suggested to be a sensitive predictor of adverse cardiovascular outcomes, such as ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...

Abstract: With increasing complexity of industrial processes, a number of variables are becoming increasingly large in modeling and monitoring steps, which is particularly prominent in dynamic ...