Triple Assessment in Diagnosis of Thyroid Nodules and Its Comparison With Histopathology.

Background:  Thyroid nodules are more common than previously realised, and the rate of prevalence is hugely impacted by the method of detection and their easy access. No single test is sufficient to access the thyroid nodule at any given time. Hence this necessitates the need for clinicians to use an evidence-based protocol for their assessment and diagnosis.

Hybrid Deep Neural Network for Handling Data Imbalance in Precursor MicroRNA.

Over the last decade, the field of bioinformatics has been increasing rapidly. Robust bioinformatics tools are going to play a vital role in future progress. Scientists working in the field of bioinformatics conduct a large number of researches to extract knowledge from the biological data available.

Iron sulphide rice grain nanostructures as potential electrocatalysts for an improved oxygen evolution reaction.

Iron based chalcogenides are considered a promising group of electro-active materials for various electrochemical technologies. Herein we demonstrate a facile fabrication of various iron sulphide (FeS) nanostructures, including rice grains (RGS)-, nanoflowers (NFS)- and nanoparticles (NPS)-like surface morphologies electrochemical, solvothermal and chemical strategies, respectively. The as-developed FeS nanostructures have been employed as electrocatalysts for the oxygen evolution reaction (OER) in an alkaline electrolyte.

Cervical Cancer Diagnostics Healthcare System Using Hybrid Object Detection Adversarial Networks.

Cervical cancer is one of the common cancers among women and it causes significant mortality in many developing countries. Diagnosis of cervical lesions is done using pap smear test or visual inspection using acetic acid (staining). Digital colposcopy, an inexpensive methodology, provides painless and efficient screening results.

COVID_SCREENET: COVID-19 Screening in Chest Radiography Images Using Deep Transfer Stacking.

Infectious diseases are highly contagious due to rapid transmission and very challenging to diagnose in the early stage. Artificial Intelligence and Machine Learning now become a strategic weapon in assisting infectious disease prevention, rapid-response in diagnosis, surveillance, and management. In this paper, a bifold COVID_SCREENET architecture is introduced for providing COVID-19 screening solutions using Chest Radiography (CR) images.