About this Research Topic
This special issue features Artificial Intelligence, Machine Learning, Genomics and Precision Medicine, and invites relevant high-quality original research, systematic review, methods, review, mini review, perspective, case report, data report, policy brief, general commentary, opinion, and editorial article for the transparent peer review and publication.
The quest to understand what causes chronic, acute, and infectious diseases has been a central focus of human health studies since the beginning of scientific discovery. Our evolving understanding of their complex nature has led us to realize the importance of effective diagnosis and treatment of patients with these conditions. Over the last few decades, genomics has been leading us towards an audacious future; it has been changing our views about conducting biomedical research, studying diseases, and understanding diversity in our society across the human species. However, there are more unknowns than knowns in genomics. By identifying the novel risk factors and disease biomarkers, genomics and precision medicine has the potential to translate scientific discovery into clinically actionable personal healthcare. Nevertheless, we still require innovative and intelligent solutions to advance genomics and precision medicine such as creating new models of medicine where physicians use clinical decision support systems based on Artificial Intelligence (AI) to choose the best treatment for a patient guided by the genomics variants that each of us have.
Topic Editors: Zeeshan Ahmed, Donghyung Lee, and Saman Zeeshan.
|16 May 2022||Abstract|
|15 July 2022||Manuscript|
Further special issue and submission details are available at: https://www.frontiersin.org/research-topics/35498/artificial-intelligence-for-personalized-and-predictive-genomics-data-analysis