Microfluidic devices are increasingly widespread in the literature, being applied to numerous
exciting applications, from chemical research to Point-of-Care devices, passing through drug …

Recent advances in microfluidic technology and biomaterial science have augmented the
use of organ-on-chip (OoC) technology to closely mimic the human pathophysiology. Thus, it …

The derivation of input–output relationships in deep learning architectures is mostly a black-
box process, in which uninformative or confounding factors might bias the classification …

Bladder cancer is one of the most common cancer types in the urinary system. Yet, current
bladder cancer diagnosis and follow-up techniques are time-consuming, expensive, and …

Astrocytes are glycolytically active cells in the central nervous system playing a crucial role
in various brain processes from homeostasis to neurotransmission. Astrocytes possess a …

To gain insights into the impact of upper limb (UL) dysfunctions after breast cancer
treatment, this study aimed to develop a temporal convolutional neural network (TCN) to …

This research aims to develop a diagnostic tool that can quickly and accurately detect
prostate cancer using electronic nose technology and a neural network trained on a dataset …

Selecting and isolating various cell types is a critical procedure in many applications,
including immune therapy, regenerative medicine, and cancer research. Usually, these …

Abstract The Anti-Nuclear Antibodies (ANA) test using Human Epithelial type 2 (HEp-2) cells
in the Indirect Immuno-Fluorescence (IIF) assay protocol is considered the gold standard for …

In recent years, 2D CNNs have excelled in analyzing single-frame video sequences,
prompting the evolution of standard architectures toward full 3D CNNs. This transition, while …