Wastewater-based surveillance (WBS) has undergone dramatic advancement in the context
of the coronavirus disease 2019 (COVID-19) pandemic. The power and potential of this …

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused an ongoing
coronavirus disease (COVID-19) outbreak and a rising demand for the development of …

In this work, we present DrugSolver CavitomiX, a novel computational pipeline for drug
repurposing and identifying ligands and inhibitors of target enzymes. The pipeline is based …

Objective The persistent spread of SARS-CoV-2 makes diagnosis challenging because
COVID-19 symptoms are hard to differentiate from those of other respiratory illnesses. The …

Serological detection of antibodies for diagnosing infectious diseases has advantages in
facile diagnostic procedures, thereby contributing to controlling the spread of the pathogen …

Most of the methods currently developed for RNA detection based on CRISPR were
combined with nucleic acid amplification. As a result, such methods inevitably led to certain …

We describe a machine learning (ML) approach to processing the signals collected from a
COVID-19 optical-based detector. Multilayer perceptron (MLP) and support vector machine …

Healthcare-associated infections (HAIs) are the most common adverse events in healthcare
and constitute a major global public health concern. Surveillance represents the foundation …

This study established a portable and ultrasensitive detection method based on
recombinase polymerase amplification (RPA) combined with high-sensitivity multilayer …

The COVID-19 pandemic took place during the years 2020–2022 and the virus, named
SARS-CoV-2, seems likely to have resulted in an endemic disease. Nevertheless …