The drug discovery and design process has been significantly transformed by the integration
of data science, artificial intelligence (AI), green chemistry principles, and affordable …

Artificial Intelligence (AI) has emerged as a transformative tool in the field of drug discovery,
revolutionizing the way researchers identify and develop new therapeutic compounds. This …

Artificial intelligence (AI), particularly deep learning as a subcategory of AI, provides
opportunities to discover and develop innovative drugs. The use of AI in drug discovery is …

Drug discovery is adapting to novel technologies such as data science, informatics, and
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …

Background: The lengthy and expensive process of developing a novel medicine often takes
many years and entails a significant financial burden due to its poor success rate …

Drug discovery and development are among the most important translational science
activities that contribute to human health and wellbeing. However, the development of a new …

Traditional drug development heavily relies on human-derived rational and effort to detect
the functional mechanisms of diseases, identify druggable targets, and design lead …

Drug discovery and development affects various aspects of human health and dramatically
impacts the pharmaceutical market. However, investments in a new drug often go …

This chapter comprehensively explores the pivotal role of artificial intelligence (AI) in drug
discovery and development, encapsulating its potentials, methodologies, real-world …

The fusion of machine learning (ML) and artificial intelligence (AI) is experiencing a dramatic
transition in the field of pharmaceutical research and development. This study examines the …