Title: Role of Artificial Intelligence in Drug Discovery: Driving Next-Generation Therapeutic Innovation
Authors: Bassem S. Abu-Nasser and Samy S. Abu-Naser
Volume: 10
Issue: 3
Pages: 1-6
Publication Date: 2026/03/28
Abstract:
The adoption of artificial intelligence (AI) in drug discovery is significantly transforming the pharmaceutical landscape by enhancing the speed and efficiency of developing new therapeutic agents. AI-based techniques allow researchers to analyze large and complex datasets, facilitating the identification of potential drug candidates and enabling accurate predictions of their effectiveness and safety profiles. This paper examines the growing influence of AI in drug discovery, with a focus on recent developments in machine learning, deep learning, and predictive analytics. It also discusses key challenges related to AI integration, such as data reliability, regulatory constraints, and ethical concerns. Through the evaluation of selected case studies involving AI-driven innovations, the study highlights the potential of AI to optimize drug development processes, lower associated costs, and address critical gaps in healthcare. As AI technologies continue to evolve, they are expected to play a pivotal role in shaping the future of drug discovery and improving overall patient outcomes..