Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …

It is essential to monitor any health issues during pregnancy to ensure a safe delivery
because pregnancy is crucial for both mother and child. However, developing countries …

With increasing computing power, artificial intelligence (AI) and machine learning (ML) have
prospered, which facilitate the analysis of large datasets, especially those found in critical …

The emergence of newer SARS-CoV-2 variants of concern (VOCs) profoundly changed the
ICU demography; this shift in the virus's genotype and its correlation to lethality in the ICUs is …

Healthcare's evolution amid rapid scientific progress demands the efficient management of
extensive data. This has given rise to electronic health passports, which play a crucial role in …

Reverse vaccinology (RV) is a significant step in sensible vaccine design. In recent years,
many machine learning (ML) methods have been used to improve RV prediction accuracy …

Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …

Background Growing demand for student-centered learning (SCL) has been observed in
higher education settings including dentistry. However, application of SCL in dental …

Critical care medicine in the 21st century has witnessed remarkable advancements that
have significantly improved patient outcomes in intensive care units (ICUs). This abstract …

Breast cancer is a serious disease, and therefore early detection is crucial for successful
treatment and patient management. Unfortunately, globally, the number of breast cancer …