Artificial intelligence is one of the emerging technologies being utilized in
various areas in the pharmaceutical sector to optimize different process parameters,
which leads to the development of novel drug delivery systems very efficiently.
Astonishing evolution in AI technology and machine learning brings out
transformational productivity in the formulation, drug discovery, and testing of
pharmaceutical dosage forms. Artificial intelligence utilizes various computational
tools and engineering technologies to fabricate varying dosage forms with high
therapeutic efficacy and precision. AI algorithms efficiently analyze substantial
biological data of proteomics and genomics, which allow researchers to find out the
target site and also to predict the interactions with potential drug molecules. This
phenomenon permits a targeted approach to drug discovery thereby enhancing the
probability of effective drug approvals. Artificial Intelligence (AI) allows the
development of intelligent modeling, resolving issues, and decision-making to create
efficient data handling. Artificial intelligence plays a very crucial role in various
pharmaceutical sectors including drug discovery, formulation and development of
novel dosage forms, development of new analytical techniques, development of design
of experiments, sales and marketing, quality assurance, clinical trials, hospital
pharmacy, etc. Various AI-based tools like Artificial Neural Networks (ANNs) or
Recurrent Neural Networks (RNNs) are successfully utilized in the field of drug
discovery and newer drug delivery systems. Several drug discoveries are being made in
pharmaceutical fields using AI technology in combination with quantitative structureproperty relationship (QSPR) or quantitative structure- activity relationship (QSAR),
which support evidence-based accurate and precise results. Additionally, de-novo
design is employed to invent significant new drug molecules with the desired quality.
AI algorithms are helpful in experimental design, which can accurately determine the
pharmacokinetic parameters and toxic effect of drug molecules. They also allow the
identification of impurities and the optimization of their concentration in the product to
formulate an effective dosage form. AI-based technology can be applied to optimize
the drug excipient ratio in the formulation of a new modified drug delivery system including sustained, delayed, or immediate release formulation. Formulation of
personalized medications as per patient’s need is one of the novel approaches that can
be possible by the utilization of AI tools, leading to more precise rational treatment and
improved patient compliance. The content incorporated further highlights more
detailed information on AI tools and their wide applications in various pharmaceutical
departments including drug discovery, process optimization, designing novel delivery
systems, testing, pharmacokinetics/ pharmacodynamics (PK/PD) studies, etc.
Keywords: Artificial intelligence, Drug delivery system, Manufacturing of pharmaceutical products, Pharmaceutical field.