Artificial Intelligence for Personalized and Predictive Genomics Data Analysis

About this Research Topic

Background

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.

The goal of this Research Topic is to publish Findable, Accessible, Intelligent, Reproducible (FAIR), and related approaches proposed to facilitate implementation of genomics and precision medicine, and accelerate diagnostic and preventive care delivery strategies beyond traditional symptom-driven, disease-causal medical practice.

This special issue features Artificial Intelligence, Machine Learning, Genomics and Precision Medicine, and invites relevant high-quality original research articles, reviews, perspectives, and opinions for transparent peer review and publication.

Keywords: Al Intelligence, Machine Learning, Genetics, Gene-Expression, Gene-Variant, Predictive Analysis, Precision Medicine.

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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