Applications of artificial intelligence in pharmacy

Artificial Intelligence (AI) has emerged as a transformative technology in the pharmaceutical industry, significantly reshaping the processes of drug discovery, development, and production. By leveraging machine learning algorithms and deep neural networks, AI has reduced the time and cost of drug research and development while enhancing prediction accuracy. From identifying drug molecules and analyzing genomic data to optimizing clinical trials and personalizing treatments, AI plays a pivotal role in improving patient outcomes. However, challenges such as data limitations, regulatory hurdles, and ethical concerns remain significant barriers. Future advancements in integrating AI with emerging technologies like nanotechnology and RNA-based therapeutics hold the potential to revolutionize rare disease treatments and increase the efficiency of personalized medicine. This paper explores the applications, benefits, challenges, and future innovations of AI in the pharmaceutical landscape.

کلیدواژه ها:

Artificial Intelligence ، Pharmaceuticals ، Personalized Medicine ، Machine Learning