Digital twins in medicine.
Document Type
Article
Publication Date
3-1-2024
Publication Title
Nat Comput Sci
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.
Clinical Institute
Cardiovascular (Heart)
Clinical Institute
Cancer
Specialty
Cardiology
Specialty
Oncology
Recommended Citation
Laubenbacher, R; Mehrad, B; Shmulevich, Ilya; and Trayanova, N, "Digital twins in medicine." (2024). Articles, Abstracts, and Reports. 8680.
https://digitalcommons.providence.org/publications/8680
