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 ...

Falisse A, Serrancoli G, Dembia C, Gillis J, Jonkers J, De Groote F. 2019 Rapid predictive simulations with complex musculoskeletal models suggest that diverse healthy and pathological human gaits can ...

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 ...

Advances in high-throughput microscopy have enabled the rapid acquisition of large numbers of high-content microscopy images. Next, whether by deep learning or classical algorithms, image analysis ...

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 ...

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 ...

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 ...

Raspberry Pi has received the lion’s share of attention devoted to cheap, single-board computers in the past year. But long before the Pi was a gleam in its creators’ eyes, there was the Arduino.