"The explosion of technology in healthcare in recent years has rapidly changed the healthcare sector. Technologies such as artificial intelligence and machine learning along with the integration of the Internet of Medical Things (IoMT) have evolved to tackle the need for remote healthcare systems, augmenting them in a self-sustainable way. This new volume explores computational tactics as applied to the development of biomedical applications, using artificial intelligence, machine learning, signal analysis, computer-aided design, robotics and automation, biomedical imaging, telemedicine, and other technologies. The book aims to provide a solid framework to provide the modern class of medical gearheads with information on the innovative applications of computational mechanisms for improving and expediting patient-friendly automation in healthcare. The volume provides an overview of the advancements in modern technology for diagnosing major life-threatening diseases, including using photonic MEMS sensors, biomedical signal processing, 1D photonic crystal-based distributed Bragg reflectors (DBRs), and biosensor chips used to detect foreign bodies, such as cancer cells, or infected stages of blood cells for quick medical diagnosis"--