Since microorganisms are evolving rapidly, there is a growing need for a new, fast, and
precise technique to analyse blood samples and distinguish healthy from pathological …

Machine learning (ML) is a broad term encompassing several methods that allow us to learn
from data. These methods may permit large real-world databases to be more rapidly …

Gold nanoparticles (AuNPs) have emerged as promising and versatile nanoparticles for
cancer therapy and are widely used in drug and gene delivery, biomedical imaging …

Low-cost sensors to detect cancer biomarkers with high sensitivity and selectivity are
essential for early diagnosis. Herein, an immunosensor was developed to detect the cancer …

Indigenous Qatari bacterial strains were isolated from highly weathered oil-contaminated
sites, identified, and differentiated based on their protein profiles using matrix-assisted laser …

Colorectal cancer is the second most common cause of cancer-related deaths worldwide. To
follow up on the progression of the disease, tumor markers are commonly used. Here, we …

Hematological diseases, due to their complex nature and diverse manifestations, pose
significant diagnostic challenges in healthcare. The pressing need for early and accurate …

Non-invasive detection of biomarkers can help in the early screening of lethal diseases,
such as cancer and Alzheimer's. In this paper, we present a numerical study of a high-quality …

The present article is focused on developing and validating an efficient, credible, minimally
invasive technique based on spectral signatures of blood samples of women with recurrent …

Highlights What are the main findings? Comparison of healthy controls with subtypes of
medulloblastoma using FTIR spectra. Analysis of physicochemical changes in FTIR …