AI-Powered Drug Discovery: Revolutionizing the Pharmaceutical Industry

EasyChair Preprint 14691

Abstract

Artificial Intelligence (AI) is transforming the pharmaceutical industry by revolutionizing the drug discovery process. This article delves into how AI-powered tools and techniques are accelerating the identification, design, and development of new drugs, significantly reducing the time and cost involved. By leveraging machine learning algorithms, AI can analyze vast datasets, predict molecular behavior, and identify potential drug candidates with unprecedented speed and accuracy. The integration of AI in drug discovery also enhances the precision of target identification, optimizes drug design through predictive modeling, and improves the efficiency of clinical trials by identifying optimal patient populations and predicting outcomes. Furthermore, AI-driven approaches facilitate the discovery of novel drug compounds and the repurposing of existing drugs, opening new avenues for treating complex and rare diseases. This article also explores the ethical considerations, challenges, and future implications of AI in the pharmaceutical industry, emphasizing its potential to bring about a paradigm shift in drug discovery, ultimately leading to more personalized and effective treatments for patients worldwide.

Keyphrases: Artificial Intelligence (AI), deep learning, drug design, drug discovery, machine learning, neural networks, target identification

@booklet{EasyChair:14691,
  author    = {Joseph Oluwaseyi},
  title     = {AI-Powered Drug Discovery: Revolutionizing the Pharmaceutical Industry},
  howpublished = {EasyChair Preprint 14691},
  year      = {EasyChair, 2024}}