AI-assisted Formulation Design for Improved Drug Delivery and Bioavailability

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Sahil Tyagi, Anuj Pathak, Dr. N.G. Raghavendra Rao, Shagun Nehra, Ayush Asthana, Vaibhav Sharma, Garima Katyal, Abhay Bhardwaj, Latika Sharma, Surya Prakash, Deepti Katiyar


The pharmaceutical sector is changing thanks to artificial intelligence (AI), which has improved drug discovery, development, and delivery. AI-assisted formulation design has been a viable strategy in recent years to enhance drug distribution and bioavailability. Machine learning algorithms are used in AI-assisted formulation design to optimise medication formulations. The most effective formulation for a given medicine is predicted by these algorithms after analysing enormous quantities of data on drug qualities including solubility, permeability, and stability. Drug bioavailability can be increased thanks to AI-assisted formulation design, which is one of its key benefits. Bioavailability refers to the amount of a drug that enters the bloodstream and reaches the intended target. Due to characteristics including poor solubility or quick metabolism, many drugs have low bioavailability. AI can boost medicinal efficacy and bioavailability by enhancing drug formulations. AI-assisted formulation design also has the potential to improve drug delivery. The process of getting drug to its intended target is referred to as drug delivery. Due to issues like poor solubility or stability, many medications have few delivery alternatives. AI can enhance drug delivery and enable new delivery strategies, such as targeted drug delivery, by optimising drug formulations. The design of formulations with AI assistance may help hasten the development of new medications. AI can quicken the formulation development process by lowering the number of tests required to determine the ideal formulation.

Keywords: Artificial intelligence, Bioavailability, Machine learning, Algorithms, Optimize, Permeability.

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