I’m excited to share my latest research on AI-driven Human Digital Twins (HDTs) and their transformative role in personalized and predictive medicine.

This study presents a comparative analysis of current HDT frameworks, highlighting how real-time data from wearables, molecular diagnostics, and imaging can create dynamic simulations of individual health states. By combining AI, machine learning, and IoT, HDTs can predict disease progression, personalize treatments and improve clinical decision-making.

Key areas discussed in the paper:

• Simulation of patient-specific conditions
• Integration of multi-scale biological data
• Ethical challenges and data security
• Impact on clinical workflows and outcomes

Call to action:

I invite fellow researchers to share insights, experiences and questions on the practical application of HDTs in clinical settings.

Paper link: Article Comparative analysis on AI-driven human digital twin for per...

💡Let’s discuss the future of AI in medicine!

Feel Free to Cite:

Din GM, Shams MU, Rahmani AN, Rehman A, Ahmed MA, Shoukat MA. Comparative analysis on AI-driven human digital twin for personalized and predictive medicine. J Clin Pract Med Res, 2025;1(1):30-8. DOI: 10.59324/jcpmr.2025.1(1).06