In-silico trials alternative in-vivo animal studies: potentiality, predictive modelling, and realism

Yash Chavan; Sahebrao Boraste; Smita Shelke; Prashant Pingale; Sunil Amrutkar

Authors

Yash Chavan Department of Pharmaceutics, GES’s Sir Dr. M. S. Gosavi College of Pharmaceutical Education and Research, Nashik-422005, India
Sahebrao Boraste Department of Pharmaceutics, GES’s Sir Dr. M. S. Gosavi College of Pharmaceutical Education and Research, Nashik-422005, India
Smita Shelke Department of Pharmaceutical Chemistry, GES’s Sir Dr. M. S. Gosavi College of Pharmaceutical Education and Research, Nashik-422005, India
Prashant Pingale Department of Pharmaceutics, GES’s Sir Dr. M. S. Gosavi College of Pharmaceutical Education and Research, Nashik-422005, India
Sunil Amrutkar Department of Pharmaceutical Chemistry, GES’s Sir Dr. M. S. Gosavi College of Pharmaceutical Education and Research, Nashik-422005, India

Keywords:

animal studies, clinical trials, in-silico trials, PBPK, QSAR, virtual modulation

Abstract

The use of very powerful models can persuade the translation from labs and animal research as well as the human trials into something simpler, less tedious, and more precise, just as digitalization has tenfold transformed industries like financial services, insurance, entertainment, and tourism. In these times of pandemic, we have realized the value of new drug innovation. However, at the same moment, we all happened to know how the amount of time required for a particular medication to be developed. Our time is valuable, and we cannot afford to wait a few years for the establishment of a new medication that might fail. R&D spending is expected to cost approximately 400 to 500 crores. Up to 50% of the time and cost of medication and medical device production could be avoided using In-silico processes.” The 3Rs, or refinement, reduction, and replacement reasoning represent the road to applying these strategies in a manner that guarantees appropriate outcomes that are as close to the real-world outcome as possible. Model validation is a crucial step in achieving this degree of consistency and offering the best solution to In-vivo animal experiments. This review article seeks to offer knowledge that can help clinical trials progress quicker and for less use of animals.

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