Digital twins in medicine.
Publication Title
Nat Comput Sci
Document Type
Article
Publication Date
3-1-2024
Keywords
washington; isb; machine learning; Humans; Precision Medicine; Biomedical Research; Cardiology; Health Facilities; Medical Oncology
Abstract
Medical digital twins, which are potentially vital for personalized medicine, have become a recent focus in medical research. Here we present an overview of the state of the art in medical digital twin development, especially in oncology and cardiology, where it is most advanced. We discuss major challenges, such as data integration and privacy, and provide an outlook on future advancements. Emphasizing the importance of this technology in healthcare, we highlight the potential for substantial improvements in patient-specific treatments and diagnostics.
Area of Special Interest
Cardiovascular (Heart)
Area of Special Interest
Cancer
Specialty/Research Institute
Cardiology
Specialty/Research Institute
Oncology
DOI
10.1038/s43588-024-00607-6
