In the past few decades, according to the rapid development of information technology,
artificial intelligence (AI) has also made significant progress in the medical field. Colorectal …

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 …

Evolutionarily conserved signaling pathways are essential for early embryogenesis, and
reducing or abolishing their activity leads to characteristic developmental defects …

Nowadays, machine learning (ML) has attained a high level of achievement in many
contexts. Considering the significance of ML in medical and bioinformatics owing to its …

Cancer is a fatal disease and a significant cause of millions of deaths. Traditional methods
for cancer detection often have limitations in identifying the disease in its early stages, and …

To foster early bowel cancer diagnosis, a non-invasive biomechanical characterisation of
bowel lesions is proposed. This method uses the dynamics of a self-propelled capsule and a …

Gastrointestinal (GI) cancers account for a significant incidence and mortality rates of
cancers globally. Utilization of a phenomic data approach allows researchers to reveal the …

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 …

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 …

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 …