To cope with this problem, drug repurposing is a newly emerging technique in which existing drugs treat various other diseases. It has been a promising approach because of the opportunity for reduced development timelines and overall costs. It maximizes the potential usage of the existing drugs and increases the number of new drugs. It is a low-cost method of repurposing medications for new medical purposes.
In the past few years, various computational approaches have been used in drug repurposing, such as in-silico drug repurposing. Several articles are present in which there is a discussion of how computational methods such as artificial intelligence (AI) and Machine learning (ML) based on network propagation, matrix factorization, and completion are used. So here, Artificial intelligence (AI) and many computational methods accelerate drug repurposing.
Several machine learning (ML) and artificial intelligence (AI) algorithms have been developed to discover drug repurposing systematically leads using big data resources, thereby speeding up the drug development process.
For the complete in-depth article on ‘Artificial Intelligence for Drug Repurposing’, please visit @ https://www.iebrain.com/artificial-intelligence-for-repurposing-of-drugs/
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