Abstract

Rapid advancements in technological computing have driven significant growth and transformation across various engineering domains, particularly in medical science and human health. Progress in computer vision, image processing, machine learning, deep learning, and data science has revolutionized healthcare, enabling innovative solutions for a wide range of medical conditions and anatomical challenges. The integration of these technologies has not only enhanced medication and disease control but has also provided effective solutions for complex health sector issues. This research examines the impact of accelerated computing in biomedical engineering, highlighting the modern application of advanced toolsets in bioinformatics and mechanics, combined with artificial intelligence, within medical science. It also delves into the understanding of human anatomy, exploring the concept of functional genomics and its potential to offer insights into future diseases and health issues. By doing so, it paves the way for substantial advancements in healthcare, promising a transformative impact on medical science for the foreseeable future and beyond.

Keywords:Artificial Intelligence (AI); Biomedical Engineering (BME); Bioinformatics; Biomedical instrumentation measurements and design; Biomedical image processing; Deep Learning (DL); Functional genomics; Machine Learning (ML); Medical informatics