Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems

5An Overview of Computational-Based Strategies for Drug Repositioning

Shalu Verma¹*, Nidhi Nainwal¹, Alka Singh², Gauree Kukreti² and Kiran Dobhal³

¹Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, Uttarakhand, India

²School of Pharmaceutical Sciences, Sardar Bhagwan Singh University, Balawala, Dehradun, Uttarkhand, India

³Shivalik College of Pharmacy, Dehradun, Uttarakhand, India

Abstract

Drug repositioning is a technique for discovering new uses for investigational and approved drugs that are beyond the scope of the original medication indication. It enhances the drug’s therapeutic value, which raises the success rate. There are different approaches which offer several advantages over developing a novel drug for a given indication. In this study, we have discussed various strategies for drug repositioning like the use of the internet of things (IoT), artificial intelligence (AI), machine learning (ML), cloud computing, big data digital twin, etc. AI and ML allow for the rapid development of drugs, including the repositioning of existing drugs. IoT has penetrated the majority of application domains, the most important being in the field of healthcare. The integration of drug repositioning with the internet of things (IoT), artificial intelligence (AI), machine learning (ML), cloud computing, big data and digital twining, further enriches its significance and research potential with novel opportunities and unique challenges. The objective ...