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

Department

Cardiology

Department

Oncology

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