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**Dr. Mohamed Rehman**, a professor of Anesthesiology at Johns Hopkins School Of Medicine, highlighted the growing significance of digital twin technology in healthcare during his keynote session titled “Human Digital Twin: Improving health of our patients and employees.” Digital twins can be employed to provide personalized care, tracking factors like heart rate and steps, especially for nurses, before scaling up for more intricate monitoring. The primary focus of their research is to utilize real-time data analytics to transition from generalized medicine to precision medicine and emphasize prevention over treatment. By creating individualized digital twin models for patients, timely interventions can be made based on detected health trajectories, benefiting conditions like sickle cell, seizures, and diabetes. Despite the abundance of health data available today, Dr. Rehman emphasized the importance of refining and utilizing that data through effective algorithms. However, he reassured that institutions initiating digital twin projects don’t need advanced algorithms from the get-go, as digital twins inherently improve over time. He further advised that digital twins don’t initially need vast amounts of data, emphasizing a gradual scaling approach.
https://www.healthcareitnews.com/news/asia/starting-your-own-human-digital-twin-project