Programme Parameters
Graduate / Intermediate
3 Days (4.5 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
In silico medicine uses computational models to simulate the interaction between ultrasonic waves and biological tissues, enabling non‑invasive diagnostics and targeted treatments. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
In silico medicine uses computational models to simulate the interaction between ultrasonic waves and biological tissues, enabling non‑invasive diagnostics and targeted treatments.
📋 Course Objectives
1. Apply AI Enablement methods to authentic research and industry problems.
2. Assemble a documented case study that evidences your applied capability.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in AI Enablement
• R&D engineers and working professionals applying AI Enablement in industry
• Academics and educators building research or teaching capacity in AI Enablement
🚀 Key Learning Outcomes
• A portfolio-grade AI Enablement deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Day 1 – Transducer Design & Beam Steering
Explore piezoelectric physics and phased‑array fundamentals • Design a linear transducer array using k‑Wave • Implement time‑delay beam steering and visualize focused beams
Day 2 – Modeling Soft Tissue
Characterize acoustic properties and non‑linearity of soft tissues • Create multi‑layer phantom maps (skin, fat, muscle) • Generate B‑mode ultrasound images from simulated acoustic speed variations
Day 3 – Therapeutic Ultrasound (HIFU)
Understand high‑intensity focused ultrasound physics and thermal ablation mechanisms • Simulate focused heat‑deposition maps for virtual tumor targeting • Implement safeguarding strategies for surrounding healthy tissue
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | k-Wave |
| Covered Tool / Platform | MATLAB |
| Covered Tool / Platform | Python |
| Covered Tool / Platform | acoustic property databases |
Frequently Asked Questions
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