Latest AI and machine learning research in covid-19 for healthcare professionals.
The aim of the study was to determine the clinical and diagnostic value of IL-17A, IL-17F, and IL-23...
Immunoassays are biochemical analytical techniques based on the specific binding between antigens an...
Medical interns are at high risk of acquiring Hepatitis B Virus (HBV) infection during their trainin...
Early detection of cancer is critical for improving patient survival rates, and current in vitro dia...
In our study, a multiplex real-time polymerase chain reaction (mRT-PCR)-based method was established...
Datura metel, a common plant in the Solanaceae family, is known for its valuable medicinal propertie...
This study aims to deepen the understanding and classification of tinnitus through a comprehensive a...
Long-term monitoring of biomedical signals is essential for the modern clinical management of neurol...
INTRODUCTION: Serum protein electrophoresis and serum free light chain (SFLC) assays are standard me...
To address the global emergence of mpox after the 2022 epidemic, a rapid and accurate diagnostic too...
Several arthropod-borne (arbo)-viruses have overlapping symptoms, insect vectors and geographical oc...
IntroductionEarly diagnosis of colorectal cancer (CRC) poses a significant clinical challenge. This ...
Migraine has an assumed polygenic basis, but the genetic risk variants identified in genome-wide ass...
Predicting cognitive load is a crucial issue in the emerging field of human-computer interaction and...
OBJECTIVES: Early prediction of critical COVID-19 disease is crucial for an optimal clinical managem...
The multi-modal lateral flow immunosensor (LFIS) with integrated advantages and mutual built-in cali...
Prostate cancer (PCa) requires improved diagnostic strategies beyond conventional imaging. This revi...
Cancer remains one of the leading causes of mortality worldwide, making early diagnosis and precise ...
Understanding the effects of missense mutations or single amino acid variants (SAVs) on protein func...
Understanding how genetic variation impacts transcription factor (TF) binding remains a major challe...
Accurate prediction of biogas production is essential for optimizing process performance, enhancing ...