Advancements within Molecular Engineering for Regenerative Medicine and Biomedical Applications an Investigation Analysis towards A Computing Retrospective

Zarif Bin Akhtar; Anik Das  Gupta

doi:10.35882/jeeemi.v6i1.351

Zarif Bin Akhtar MPhil Research Postgraduate Student, Master of Philosophy (MPhil) in Machine Learning and Machine Intelligence, Department of Engineering, University of Cambridge, Cambridge, United Kingdom https://orcid.org/0009-0004-5498-6458
Anik Das Gupta Master of Engineering in Electrical and Computer Engineering, Gina Cody school of Engineering and Computer Science, Concordia University, Montreal, Canada

DOI: https://doi.org/10.35882/jeeemi.v6i1.351

Keywords: Artificial Intelligence (AI), Biomedical Engineering (BME), Biomedical Instrumentations Measurement and Applications, Deep Learning, Machine Learning, Molecular Engineering, Regenerative Medicine

Abstract

The field of molecular engineering in medicine has witnessed remarkable progress in recent years, revolutionizing healthcare, diagnostics, and therapy development. However, the pandemic showcased there is still more requirement for progress along with further detailed investigation which is paramount and also a necessity moving forward. This research investigation delves into the interdisciplinary realm of molecular engineering, exploring its impact on regenerative medicine, biomaterials, tissue engineering, and the innovation from various advanced biotechnologies which has accelerated health science. The main objective for this research aims at providing an in depth investigative exploration of biomaterial applications with their respective roles within regenerative medicine and its associated advancements along with, tissue engineering, organ-on-a-chip device peripheral mechanics functionality and how bioprinting is paving the way for the creation of functional tissues and organs with a case study analysis on drug discovery, immune engineering, to the field of precision medicine, gene editing with the insight towards drug discovery processing, design and screening pipelined for biologics and the how therapeutics and drugs will play out in future healthcare. This exploration also provides many meaningful and remarkable conclusions on the advanced technologies which are explored and investigated throughout the step-by-step systematic technical computing methods approached for the research.

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