Advances in artificial intelligence for drug delivery and development

Abstract

Artificial intelligence (AI) is a strong tool that uses anthropomorphic knowledge to solve complicated problems faster. The amazing breakthroughs in artificial intelligence and machine learning mean that the fields of dosage form testing, pharmaceutical formulation, and drug discovery will undergo a major transformation. Researchers can identify disease-associated targets and predict their potential interactions with therapeutic choices using AI algorithms that analyze vast biological data, such as proteomics and genomics. This increases the possibility of successful drug approvals by enabling a more effective and focused approach to drug research. Artificial Intelligence has the potential to save development costs by streamlining processes in research and development. In addition to helping with experimental design, machine learning algorithms can forecast the pharmacokinetics and toxicity of potential drugs. Costly and time-consuming procedures are not as necessary thanks to the capacity to select and optimize lead compounds. Artificial Intelligence systems that evaluate actual patient data can assist in personalized drug recommendations, improving treatment outcomes and patient adherence. This thorough analysis examines the various uses of AI in drug discovery, pharmacokinetics/pharmacodynamics (PK/PD) research, process optimization, drug delivery dosage form designs, testing, and testing.