DIGITAL TWINS IN MEDICINE

DIGITAL TWINS IN MEDICINE

2024 March ; 4(3): 184–191. | R. Laubenbacher, B. Mehrad, I. Shmulevich, N. Trayanova
The article "Digital Twins in Medicine" by R. Laubenbacher, B. Mehrad, I. Shmulevich, and N. Trayanova provides an overview of the current state and future prospects of medical digital twins (MDTs), particularly in oncology and cardiology. MDTs are computational models that integrate patient data to simulate and predict disease progression and treatment outcomes, aiming to enhance personalized medicine. The authors discuss the challenges in developing MDTs, such as data integration, privacy, and the need for advanced modeling techniques. They highlight the potential of MDTs to improve patient-specific treatments and diagnostics, emphasizing their role in preventive medicine, critical care, and drug development. The article also explores the regulatory and ethical considerations for bringing MDT technology into clinical practice, noting the lack of standardized models and data sharing protocols. Despite these challenges, the authors believe that MDTs have the potential to revolutionize healthcare by providing more accurate and timely interventions, ultimately improving patient outcomes.The article "Digital Twins in Medicine" by R. Laubenbacher, B. Mehrad, I. Shmulevich, and N. Trayanova provides an overview of the current state and future prospects of medical digital twins (MDTs), particularly in oncology and cardiology. MDTs are computational models that integrate patient data to simulate and predict disease progression and treatment outcomes, aiming to enhance personalized medicine. The authors discuss the challenges in developing MDTs, such as data integration, privacy, and the need for advanced modeling techniques. They highlight the potential of MDTs to improve patient-specific treatments and diagnostics, emphasizing their role in preventive medicine, critical care, and drug development. The article also explores the regulatory and ethical considerations for bringing MDT technology into clinical practice, noting the lack of standardized models and data sharing protocols. Despite these challenges, the authors believe that MDTs have the potential to revolutionize healthcare by providing more accurate and timely interventions, ultimately improving patient outcomes.
Reach us at info@study.space