Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic
knowledge and provides expedited solutions to complex challenges. Remarkable …

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

Artificial Intelligence (AI) relies upon a convergence of technologies with further synergies
with life science technologies to capture the value of massive multi-modal data in the form of …

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 …

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

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) and machine learning, in particular, have gained significant interest
in many fields, including pharmaceutical sciences. The enormous growth of data from …

Drug delivery aims to potentiate the therapeutic effect of medicinal drugs by conferring
augmented physicochemical features upon them, for example, by overcoming the inherent …

Artificial Intelligence (AI)-based formulation development is a promising approach for
facilitating the drug product development process. AI is a versatile tool that contains multiple …

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 …