Artificial Intelligence (AI) offers tremendous opportunities to transform healthcare by reducing human error, supporting medical professionals, and providing continuous patient services. With ongoing advancements, AI has demonstrated significant potential in medical imaging, such as interpreting X-rays, scans, and other diagnostics, as well as assisting in disease identification and treatment planning. Beyond clinical applications, AI is streamlining healthcare operations—from managing patient interactions and answering queries to analyzing population-level health data and predicting emerging health trends. The book, Artificial Intelligence in Biomedical Sciences and Healthcare, will serve as a comprehensive collection of current research on AI and its applications across diverse areas of biochemical and medical sciences. It will not only present recent advances in AI but also introduce the foundational concepts of biomedical sciences and machine learning, enabling students and professionals to better grasp these interdisciplinary fields. Furthermore, the book will address real-world challenges in healthcare—such as diagnostics, treatment, and disease management—and illustrate how AI-driven techniques can provide innovative solutions. This volume aims to serve as a valuable reference for students, researchers, academicians, and professionals engaged in biomedical sciences and AI.