Artificial Intelligence (AI): Drug Design and Formulation
DOI:
https://doi.org/10.64062/IJPCAT.Vol2.Issue1.1Keywords:
- Artificial intelligence, Machine learning, Drug Design, Pharmaceutical Industry.
Abstract
The way pharmaceutical companies find, develop, and evaluate new treatments is changing as a result of the combination of AI and machine learning. This method is more accurate and efficient, which not only expedites drug discovery but also raises the likelihood of successful drug approvals. AI-driven formulation design has emerged as a potential technique in recent years to enhance the body's absorption and distribution of medications. AI also has the ability to improve drug distribution, which is essential to guaranteeing that medications go to their targeted locations.One significant benefit of AI-assisted formulation design is the potential to increase drug bioavailability. Many medications have limited distribution choices due to issues like low solubility or stability; however, AI interventions can improve formulations and bring novel delivery techniques like tailored drug administration. By lowering the number of tests required to find the best preparation, collaborating with AI in formulation design speeds up the entire formulation development process and aids in the rapid creation of novel drugs.
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