Computational Science Role in Medical and Healthcare‐Related Approach
Pawan Whig, Arun Velu, Rahul Reddy Nadikattu, Yusuf Jibrin Alkali · 2023
Medical imaging, human genome research, clinical diagnosis, and medical data management are all areas where computer technology plays a critical role in modern medicine, healthcare, and life sciences. Computer science solutions will undoubtedly become a vital element of modern medicine and healthcare as computer technology continues to advance. Computational research and applications in medicine and healthcare on modeling, creating, addressing, and assessing fundamental problems are not only vital but also indispensable! With an emphasis on medical imaging, we describe a collection of key computational challenges and methodologies in current medical research, clinical practice, and applications in this session. Computational issues that emerge in medical imaging, clinical diagnosis, therapy, and other medical applications are discussed in detail. These include immune cell identification and distribution analysis, optimal segmentation, and analysis of many medical objects in 3D images, cancer research and analysis, motion tracking of massive swarming bacteria, and so on. In this book chapter, we show how to formulate difficulties as computational problems using new models, as well as how to solve them effectively. Our methods rely on cutting-edge machine learning, data mining, and geometric optimization techniques, particularly novel deep learning models and algorithms. We also offer experimental data and findings to demonstrate how our ideas may be used in clinical settings. Finally, in the exciting new field of computational medicine and healthcare, we highlight several crucial future research themes and issues.