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

Artificial intelligence (AI) has transformed pharmacological research through machine
learning, deep learning, and natural language processing. These advancements have …

Drug development is expensive, time-consuming, and has a high failure rate. In recent
years, artificial intelligence (AI) has emerged as a transformative tool in drug discovery …

Highlights•Drug discovery data and data from other sources are different in quantity and
characteristics.•This article underlines the difference of data from different domains.•In order …

Artificial intelligence (AI) is becoming an integral part of drug discovery. It has the potential to
deliver across the drug discovery and development value chain, starting from target …

By harnessing artificial intelligence (AI) algorithms and machine learning techniques, the
entire drug discovery process stands to undergo a profound transformation, offering a …

Introduction: Artificial intelligence (AI) has inspired computer-aided drug discovery. The
widespread adoption of machine learning, in particular deep learning, in multiple scientific …

Highlights•Artificial Intelligence (AI) has transformed many areas such as speech and image
recognition, but not yet drug discovery.•Approaches to AI in drug discovery need to take in …

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

Artificial intelligence in drug design in experiencing a wave of excitement not seen since the
emergence of computational chemistry in the late 1980s and early 1990s. Apparently failing …