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Artificial Intelligence, Quantum Computing and Cloud Computing Enabled Personalized Medicine in Next Generation Sequencing Bioinformatics

Siddharth Goswami, Sachin Sharma

2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), 2024

19 citations

Abstract

Flow research elucidate on how advanced technologies might be combined to revolutionize personalized medicine. The research emphasizes the revolutionary effects of Artificial Intelligence in patient data analysis, illness susceptibility prediction, and improving diagnostic and treatment planning. The research also provides an effective overview that how the drug discovery can be sped up using quantum computing, which can also examine genomic data at previously unheard-of speeds. Scalable solutions for managing clinical data, analyzing genetic data, and securely exchanging data are available from cloud service providers including AWS, GCP, and Azure. Decoding genomic data and customizing patient care depend on NGS bioinformatics technologies such alignment and variant calling methods, annotation databases, and structural variant detection software. By reinventing personalized patient care, the combination of these technologies provides a promising new frontier in healthcare.

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