Digital twin for personalized medicine development
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View abstract on PubMed
Summary
This summary is machine-generated.Digital Twins (DTs) create personalized patient replicas using AI and IoT for advanced healthcare. This technology revolutionizes diagnostics and treatment, paving the way for precision medicine.
Area Of Science
- Healthcare Technology
- Digital Health
- Personalized Medicine
Background
- Digital Twin (DT) technology, an Industry 4.0 innovation, integrates AI, IoT, and ML.
- DTs create dynamic, data-driven patient replicas for advanced medical applications.
Purpose Of The Study
- To review the evolution, architecture, and technologies of DTs in healthcare.
- To explore the transformative applications of DTs in personalized medicine (PM).
Main Methods
- Review of existing literature on Digital Twin technology in healthcare.
- Analysis of AI, IoT, and ML integration for patient replica creation.
- Exploration of applications in disease simulation, diagnostics, and treatment optimization.
Main Results
- DTs enable real-time patient monitoring and predictive analytics.
- Personalized treatment plans are optimized using genetic and lifestyle data.
- DTs facilitate simulations for disease progression and diagnostic improvements.
Conclusions
- DT integration offers significant potential to enhance healthcare outcomes and efficiency.
- Addressing challenges like data privacy, interoperability, and ethics is crucial.
- Future advancements in AI, cloud computing, and blockchain will drive precision medicine.
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