role of artificial intelligence in drug discovery: Accelerating the development of new medicines
Nawal Ganai M Bahari, Alhanouf Zaid Almutairi, Nawal Hlal Almutairi, Samar Saad Alotaibi, Faisal Nasser Alharbi, Manal Nasser Almasad · International Journal of Health Sciences · 2018
Background _ Drug research and development (R&D) is a complex and lengthy process characterized by high costs, risks, and regulatory hurdles. It involves a multidisciplinary team of scientists, clinicians, and regulatory experts working collaboratively to bring innovative therapies to market. The process typically encompasses several stages, including target identification, drug discovery, preclinical and clinical testing, regulatory approval, and post-market surveillance. Aim of Work – This review aims to provide an overview of the drug development process, highlighting the critical role of technology and management in optimizing efficiency, reducing costs, and accelerating time-to-market. Methods – A comprehensive review of relevant literature was conducted to explore the various stages of drug development, challenges faced by the pharmaceutical industry, and the emerging role of technology in addressing these challenges. Results – Drug development is a high-stakes endeavor characterized by significant investment and uncertainty. Advancements in technology have transformed the drug discovery process, enabling researchers to identify potential drug targets more efficiently and screen vast chemical libraries rapidly. The integration of artificial intelligence and machine learning has accelerated drug design and optimization. Clinical trials, a crucial phase of drug development, have also benefited from technological advancements.