ACCELERATED COMPUTING A
BIOMEDICAL ENGINEERING AND MEDICAL SCIENCE PERSPECTIVE
Zarif Bin Akhtar1
Abstract. The rapid advancements
in technological computing have brought about significant growth and
transformation in various domains of engineering, particularly in the field of
medical science and human health. With the progress in computer vision, image
processing, machine learning, deep learning, and data science, there has been a
revolutionary change in healthcare, addressing a wide range of medical
conditions and human anatomy perspectives. The integration of these
technologies has not only improved medication and disease control but has also
provided solutions for complex tasks and issues related to human anatomy
threats in the health sector. This research focuses on the impact of
accelerated computing in biomedical engineering, providing insights into the modern
utility of toolsets in Bioinformatics and mechanics with artificial
intelligence within medical science and also diving into understanding the
human anatomy. Additionally, it explores the concept of functional genomics and
its potential to provide insights into future disease and health issues, paving
the way for advancements in healthcare for the foreseeable future and beyond.
Keywords:
Artificial Intelligence (AI); Biomedical Engineering
(BME); Deep Learning; Functional Genomics; Machine Learning.
DOI 10.56082/annalsarscibio.2023.2.138
