Articles

The fusion of biotechnology and AI is redefining the field of modern medicinal techniques, revolutionizing how diseases are examined, drugs are made, and personalized treatments are established. The ability of AI to analyze large-scale and complicated biological data allows scientists to discover mechanisms that were hidden through traditional methods. AI and machine learning analyze biological datasets, target identification, and screen for biological designs and drug target mechanisms in drug discovery, which opens the road for faster and more accurate medicinal therapeutics. On the other hand, AI is also revolutionizing the fusion of AI and Genomics for personalized treatments, which helps in disease prediction, health risks, treatment responses to individuals, and patients' specific drug requirements, which automatically turns the healthcare system to the next level of precision from traditional methods. However, there are some ethical concerns as well, such as privacy being a big concern, algorithm bias, or regulatory challenges. In this article, we discuss the overall convergence of AI and Biotechnology, the future trends, and Personalized Medicine.