TITLE:
AI-Enabled Genomic Biomarkers: The Future of Pharmaceutical Industry and Personalized Medicine
AUTHORS:
Lata Kulkarni, Nirmala M S, Umme Najma, Jyothi N M
DOI: 10.5110/77. 1024 Page: 54-72 Vol: 18 Issue: 08 Year: 2023
ABSTRACT
The integration of artificial intelligence (AI) into genomics has ushered in a new era in pharmacy and personalized medicine. The current research delves into the transformative potential of AI-enabled genomic biomarkers and their profound implications for the future of healthcare. AI-driven advancements in genomics have revolutionized the way pharmaceuticals are developed and administered. By harnessing the power of machine learning algorithms, AI can analyze vast and intricate genomic datasets with unprecedented speed and precision, leading to the discovery of highly specific and individualized biomarkers. These biomarkers offer tailored insights into disease susceptibility, treatment response, and drug interactions, thereby facilitating a paradigm shift towards personalized medicine. The study highlights how AI-powered genomic biomarkers are poised to address the long-standing challenges of one-size-fits-all medicine. They enable healthcare practitioners to identify patient-specific genetic variations, enabling the customization of treatment regimens and pharmaceutical interventions. The result is not only increased treatment efficacy but also a reduction in adverse effects and healthcare costs. Furthermore, this paper explores the ethical and regulatory considerations surrounding AI-enabled genomic biomarkers, emphasizing the importance of data privacy, transparency, and informed consent. It discusses the need for interdisciplinary collaboration between pharmacists, geneticists, AI experts, and regulators to ensure the responsible integration of AI into pharmacy practice. AI-enabled genomic biomarkers represent a promising avenue for enhancing the precision, efficacy, and safety of pharmaceutical interventions. The research underscores the transformative potential of these biomarkers in reshaping pharmacy and personalized medicine, ushering in an era where treatments are as unique as the individuals they serve. The future of pharmacy is intertwined with the intelligent analysis of genomics, guided by AI, and its commitment to delivering truly personalized healthcare solutions.
Keywords:
Artificial Intelligence (AI), Genome,Biomarkers, precisionmedicine, pharmacology.
Received: 07 October 2023
Accepted: 17 October 2023
Published: 24 October 2023