BIOMEDICAL ENGINEERING (BME) AND MEDICAL HEALTH SCIENCE: AN INVESTIGATION PERSPECTIVE EXPLORATION
Keywords:
Artificial Intelligence (AI), Biomedical Engineering (BME), bioinformatics, biomedical imaging, data science, Deep Learning (DL)Abstract
In the ever-evolving landscape, rapid advancements within the domains surrounding technological computing have brought about significant growth and transformation in the various types of biomedical engineering (BME) domains of engineering, medical engineering, health informatics particularly in the field of medical science and human health. With the accelerated progress in computer vision, image processing, machine learning, deep learning, and especially data science, there has been a booming revolutionary change in healthcare, addressing towards a wide range of the 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 medical health sector. This research focuses on the impact of these various types of innovative accelerated computing in biomedical engineering, providing insights into the modern utility of toolsets in line with Bioinformatics, Biomedical Applications and mechanics with artificial intelligence (AI) within medical science and also diving into a much deeper understanding towards the human anatomy. It also explores the concept of functional genomics and its potential to provide insights into future disease and health issues, paving the way for advancements in medical healthcare for the foreseeable future and beyond.
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