Abstract

A REVIEW ON: THE IMPACT OF ARTIFICIAL INTELLIGENCE IN FORMULATION DEVELOPMENT

Sandip Kumar Tiwari, Vipul Singh and Sanjay Kumar Kushwaha*

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Abstract

AI has become a game-changing instrument that uses human knowledge to solve difficult problems with previously unheard-of levels of efficiency. Artificial intelligence (AI) and machine learning technologies have completely changed the pharmaceutical sciences, including drug development, formulation, and dosage form testing. Scientists are able to determine disease targets and anticipate interactions with possible treatment candidates by using artificial intelligence (AI) algorithms to analyse large biological datasets like proteomics and genomes. By improving the accuracy and speed of drug discovery, this strategy raises the possibility that a medicine will be approved. Additionally, AI lowers research and development costs by streamlining procedures, helping with trial planning, forecasting pharmacokinetics, and assessing toxicity at an early stage of development. This feature reduces the need for time-consuming and expensive animal testing by streamlining the lead compound optimisation and prioritisation process. By analysing real-world patient data, AI also helps personalised medicine by enabling the development of individualised treatment plans that increase patient adherence and efficacy. This thorough analysis examines the many uses of AI in pharmaceutical technology, including pharmacokinetics/pharmacodynamics (PK/PD) research, dosage form design, process optimisation, and drug discovery. The paper addresses several AI-based strategies, highlighting their advantages while also pointing out any potential drawbacks. The pharmaceutical business has great opportunities to improve patient care and advance drug development processes via further investment and investigation of AI.

Keywords: Artificial intelligence (AI), Drug discovery, Drug delivery, Machine learning, Era of machines, Algorithm, Machine learning, Nano medicine, Nano robots, Pharmaceutical formulation, Drug development.