MEDICINE’S MIND: THE AI EVOLUTION IN HEALTHCARE

Dr. Sai Bhargavi Vampana*, Emani Sai Sri Jayanthi, D. Aashritha Mary and Chakravarthi Sriniketh

ABSTRACT

The process of drug discovery is a complex, multi-faceted endeavor where various aspects of drug candidates, such as their effectiveness, pharmacokinetics, and safety profiles, must be enhanced to create the final, market-ready pharmaceutical product. The exploration or design of a novel drug candidate encompasses a multitude of parameters, rendering this undertaking a time-consuming, expensive, and occasionally fraught journey, with the potential for unfavorable outcomes. The exponential growth in computing power and the swift advancements in computational chemistry and biology have enabled the successful integration of computer-aided drug design techniques throughout the entire drug discovery and development pipeline. This integration has been instrumental in expediting the research process, mitigating the costs, and lowering the risks associated with preclinical and clinical trials. This paper delves into the profound impact of Artificial Intelligence (AI) on the pharmaceutical and medical domains, examining its capacity to bring about transformative changes. AI, endowed with the capacity to replicate human intelligence in learning, reasoning, and decision-making, has lead in a new era of innovation in healthcare and drug development.

Keywords: AI, machine learning, NLP, pharmaceutical, healthcare.