Precision Medicine serves as a critical bridge connecting fundamental research with clinical applications, focusing on the rapid translation of laboratory discoveries into therapeutic solutions. The integration of artificial intelligence (AI) and genomics has particularly revolutionized this field in recent years. AI's ability to parse complex biomedical data accelerates drug discovery and personalized treatments. Furthermore, genomics contributes to precision medicine by identifying genetic determinants of disease, providing deeper insights into pathophysiology. Despite these advancements, there remains a need for enhanced collaboration and more robust methods to improve these technologies into clinical practice effectively.
This Research Topic aims to showcase the transformative effects of AI and genomics on precision medicine. The goal is to elucidate how these technologies are being integrated into the pipeline from laboratory research into clinical settings, thereby optimizing treatment modalities, diagnosis, and patient outcomes. It seeks to foster a multidisciplinary dialogue that bridges gaps in current research and hastens the development of accessible, effective healthcare solutions tailored to individual patient needs.
To ensure a comprehensive exploration of this dynamic field, this Research Topic will focus on various pertinent aspects:
o AI applications in drug discovery and personalized medicine.
o The role of genomics in advancing precision medicine.
o The ethical, social, and economic implications of adopting new technologies in healthcare.
o Challenges and prospects in integrating these technologies into mainstream medical practice.
We invite original articles, reviews, and perspectives that discuss these themes. Each submission should clearly demonstrate its clinical applicability and potential health implications, contributing valuable insights to the global advancement of precision medicine.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Review
Study Protocol
Systematic Review
Technology and Code
Keywords: Artificial Intelligence, Deep Learning, Personalized Medicine, Genes, Clinical
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.