Biotechnology-Artificial Intelligence Nexus: A Mini Review of Advanced Applications, Benefits, and Challenges in the Healthcare Domain

Abstract

The recent advancements in biotechnology and Artificial Intelligence (AI) have brought about an industry-transforming convergence with a huge potential to disrupt the healthcare sector. This review paper presents recent case studies on applications, benefits, and challenges in the healthcare industry by looking at the Biotechnology-AI Nexus. This article aims to create some background for further research, supplying information on the contemporary state of AI and biotechnology. Examples of areas covered in the study include drug development, genetics, proteomics, personalized medicine, and medical imaging. In addition, the latest breakthroughs and treatment techniques emerged from the fusion of AI with biotechnological methods such as CRISPR-Cas9 and gene-editing tools. The biotechnology artificial intelligence nexus has several applications. AI-enabled biotechnological breakthroughs may optimize workflow, make healthcare systems more efficient, and save costs in places that are not most needed. Furthermore, AI-powered analytics may illuminate complicated biological processes, creating data-centric choices that increase accuracy and personalization in healthcare. On the other hand, some impediments must be addressed before the Biotechnology-AI Nexus's actualization. Data privacy and security, ethical considerations, regulatory compliance, and cross-cutting teamwork are some of the issues that should be addressed. The possibility for AI and automation to disrupt the employment market also raises concerns regarding the displacement of workers and the need for re-skilling and up-skilling programs