The Role of Artificial Intelligence in Accelerating Drug Discovery and Personalized Medicine

Abstract

The healthcare industry is quickly changing due to artificial intelligence (AI), especially in the areas of customized treatment and medication development. Artificial intelligence (AI) tools like machine learning, deep learning, and natural language processing are speeding up the process of finding new medication candidates and allowing for more accurate, customized treatment regimens for patients. In drug discovery, AI algorithms expedite the process by predicting how different compounds will interact with biological systems, identifying promising drug candidates, and optimizing the design of molecules for improved efficacy. AI can find patterns, forecast drug efficacy, and find possible treatment targets by evaluating enormous volumes of biological data that would be challenging to find using conventional techniques. Artificial intelligence (AI) models are being used in drug discovery to expedite the process of finding chemicals that might interact with particular biological targets, thereby cutting down on the time and expense involved in early-stage medication development. The transformative role of AI in drug discovery and personalized medicine, highlighting its potential to revolutionize healthcare by offering faster, more targeted, and individualized therapeutic solutions.