Authors : Umang H Patel; Riya Mathur

Volume/Issue : Volume 9 - 2024, Issue 5 - May

Google Scholar : https://tinyurl.com/3c93cvhh

Scribd : https://tinyurl.com/3reyzknj

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAY2112

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The discipline of genomic sequencing has seen a revolution in recent years due to the merging of bioinformatics with artificial intelligence and machine learning. This role-playing exercise explores how these cutting-edge computational methods are revolutionizing genomic data processing and paving the way for ground- breaking advances in genetic engineering and personalized medicine. Participants will examine how AI plays a critical role in improving the precision, speed, and effectiveness of genomic analysis. During the event, important AI and ML techniques like deep learning and neural networks will be covered, along with how they are used to forecast illness susceptibility, find genetic markers, and customize treatment regimens. We will also look at AI's role in genetic engineering, particularly developments in CRISPR technology. The paper will cover the technological difficulties, moral dilemmas, and privacy issues related to this integration in addition to highlighting the revolutionary promise of AI-driven bioinformatics. Participants will acquire knowledge about the potential benefits and advancements that artificial intelligence (AI) may offer to the field of genomic science via engaging dialogues and hands-on experiments. Attendees will leave the workshop with a thorough grasp of how AI is affecting genomic sequencing and what it means for biotechnology and healthcare in the future.

Keywords : IOT (Internet of Things), Edge Computing, Data, Data Security, Genomic Data.

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