Rare genetic disorders (RDs), characterized by their low prevalence and diagnostic
complexities, present significant challenges to healthcare systems. This article explores the …

Emerging machine learning (ML) technologies have the potential to significantly improve the
research and treatment of rare diseases, which constitute a vast set of diseases that affect a …

In this paper, quantitative, descriptive, and correlational research is carried out on the impact
that the process of digitalization of academic activities in higher education has had on the …

Early detection of heart complications is highly effective in treating patients with
cardiovascular diseases. Various machine learning methods have previously been used for …

Artificial intelligence (AI) has recently become the focus of academia and practitioners,
reflecting the substantial evolution of scientific production in this area, particularly during the …

Abstract The World Health Organization (WHO) declared a pandemic in response to the
coronavirus COVID-19 in 2020, which resulted in numerous deaths worldwide. Although the …

The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide.
This gynecological carcinoma causes many deaths, even though it can be treated by …

In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …

Digital pandemic stress among university faculty has become a key issue in the
contemporary era, marked by the rapid transition to online teaching. This study conducts a …

UTI (Urinary Tract Infection) has become common with maximum error rates in diagnosis.
With the current progress on DM (Data Mining) based algorithms, several research projects …