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In silico medicine uses computational models to simulate the interaction between ultrasonic waves and biological tissues, enabling non-invasive diagnostics and targeted treatments. This approach enhances the precision of ultrasound therapies, optimizes treatment outcomes, and supports personalized healthcare by tailoring therapies to individual tissue responses.
The aim of this research is to explore the interactions between ultrasonic wave propagation and biological tissues through in silico models. This will enhance non-invasive diagnostic accuracy, optimize therapeutic ultrasound treatments, and contribute to the development of personalized medicine by tailoring interventions based on tissue-specific responses.
Wave-field Animation: Focused Beam Scanning a Sector
B-Mode Ultrasound Image Generated from Code
Thermal Dose Map Confirming Virtual Tumor Destruction
01/16/2026
IST 04:30 PM
01/16/2026 β 01/18/2026
IST 05: 30PM
βΉ1999 | $60
βΉ2999 | $70
βΉ3999 | $80
βΉ5999 | $100
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PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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