University of Toronto researchers have built and tested a proof-of-concept AI-driven computer worm that uses a locally hosted open-weight large language model to reason its way through a network, ...

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...

To develop a Python-based digital technique for accurate measurement of pupil size, corneal size, and eccentricity in guinea pigs, and to validate its efficiency and accuracy against traditional OCT ...

Embarking on a journey to master Data Structures and Algorithms (DSA) is a crucial step for any aspiring software developer. This guide outlines a 100-day plan to help you build a strong foundation in ...

The significance of urban trees in promoting human health and well-being has been amplified by urbanization and the climate change effects. Simultaneously, advancements in remote sensing techniques ...

4D-BioReconX is a scalable and versatile framework designed to construct a comprehensive four-dimensional (4D) spatial transcriptomics atlas of whole animals at single-cell resolution. This approach ...

Cis-regulatory sequences regulate the expression of nearby genes. Recently, remarkable advances in our ability to predict the function of cis-regulatory sequences have been achieved by using ...

Neuromorphology is crucial to identifying neuronal subtypes and understanding learning. It is also implicated in neurological disease. However, standard morphological analysis focuses on macroscopic ...

GnssMapper provides tools for generating 3D maps by using Global Navigation Satellite System (GNSS) data. It is connected to a research project at the University of Glasgow, which investigates methods ...

Genetic recombination processes, such as reassortment, make it complex or impossible to use standard phylogenetic and phylodynamic methods. This is due to the fact that the shared evolutionary history ...