The high incidence of venous thromboembolism (VTE) globally and the morbidity and
mortality burden associated with the disease make it a pressing issue. Machine learning …

The field of computational protein engineering has been transformed by recent
advancements in machine learning, artificial intelligence, and molecular modeling, enabling …

Introduction In the past few years, the use of artificial intelligence in healthcare has grown
exponentially. Prescription of antibiotics is not exempt from its rapid diffusion, and various …

The landscape of Software Engineering evolves rapidly amidst digital transformation and the
ascendancy of AI, leading to profound shifts in the role and responsibilities of Software …

The aging of the world's population due to accelerating demographic shift on all continents
is causing increasing pressure worldwide, giving rise to a “crisis of care” or “care wave.” The …

Background: Pandemic management and preparedness are more needed than ever before
and there is widespread governmental interest in learning from the COVID-19 pandemic in …

Diabetes causes an increase in the level of blood sugar, which leads to damage to various
parts of the human body. Diabetes data are used not only for providing a deeper …

Artificial intelligence (AI) has drawn every field's attention towards itself. Experts have shown
millions of possibilities in the future using this technique, which is anticipated to encourage …

The rapid emergence of artificial intelligence tools and their integration into various societal
sectors have introduced significant ethical challenges. This research focuses on identifying …

Medical AI is one of the hot topics in the research and applied fields of medicine. Various
research mention privacy as a major ethical challenge for medical uses of AI. The good …