Several new viral infections have emerged in the human population and establishing as
global pandemics. With advancements in translation research, the scientific community has …

Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

The worldwide burden of illness and death caused by vector-borne pathogens is substantial.
The capacity to properly categorize these illnesses is crucial for the development of efficient …

Tabular data is commonly used in business and literature and can be analyzed using tree-
based Machine Learning (ML) algorithms to extract meaningful information. Deep Learning …

Human-robot collaboration has gained a notable prominence in Industry 4.0, as the use of
collaborative robots increases efficiency and productivity in the automation process …

Background Care during pregnancy, childbirth and puerperium are fundamental to avoid
pathologies for the mother and her baby. However, health issues can occur during this …

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which caused
coronavirus diseases (COVID-19) in late 2019 in China created a devastating economical …

Introduction Anti-spike monoclonal antibodies (mAbs) were previously authorized for the
prevention and treatment of COVID-19 in immunocompromised patients. However, they are …

Dengue infection is a dangerous infectious disease that threatens human health at every
age and can be deadly. The imbalance of the dengue infection disease dataset will interfere …

Mathematical modeling has become an important tool for the understanding of
epidemiological systems, addressing ideas about the components of pathogenenvironment …