The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

Rare tumors, although individually uncommon, collectively account for a considerable proportion of cancer diagnoses and pose unique clinical and biological ...

This repository contains the analysis code, results, and methodology from the Spatial Biology Hackathon 2026 (January 20-23). We analyzed spatial transcriptomics data from PDAC patients comparing ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

Abstract: Cardiovascular diseases are one of the leading causes of death globally, and the electrocardiogram (ECG) serves as a primary diagnostic tool, making automated ECG classification of ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

Abstract: In the process of feature extraction of point cloud data, most of the existing methods ignore the rich spatial geometric information in point cloud data, resulting in poor classification ...