A new international study suggests that ancient viral DNA embedded in our genome, which were long dismissed as genetic "junk, ...

Diabetes Mellitus is a chronic metabolic disorder and is one of the leading chronic diseases worldwide. It is widely known ...

Researchers at the Yale School of Public Health have discovered the evolutionary rhythm of gene expression, showing that ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural networks ...

Today, the Chan Zuckerberg Initiative (CZI) announced its latest AI model aimed at helping researchers better understand how cells behave by focusing on the key networks that control cell behavior, ...

GREmLN focuses on the “molecular logic” that defines how genes interact and influence each other. This illustration highlights how the model uniquely captures gene interaction and the influence of ...

GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic applications.

To make up for the shortcomings of these two architectures, an emerging visual state space model (VMamba) is introduced. Motivated by this, this paper presents a NR-IQA method via VIsual State space ...

One of the biggest obstacles in cancer treatment is drug resistance in cancer cells. Conventional efforts have focused on ...

This paper examines the comparative life cycle assessment (LCA) of manufacturing novel fly ash blocks and sand blocks utilizing aerated autoclaved technology within a cradle-to-gate framework, ...