AI-Driven Network Pharmacology and Predictive Medicine Evaluation of Curcumin in OSCC (Oral Squamous Cell Carcinoma)

Offered by Swalife Biotech Ltd.

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🌍 Program Overview

A 4-week structured, project-based certification program designed to train participants in AI-enabled network pharmacology, predictive analytics, and translational medicine.

Participants will use proprietary Swalife AI Studios to convert scientific literature into discovery logic, predictive models, and clinical insights — working primarily on secondary metabolites.

This is hands-on implementation, not theoretical learning.

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⏳ Duration & Mode

Duration: 4 Weeks (1 Month)
Mode: Online / Hybrid
Daily Live Sessions: 60–90 Minutes

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🛠 AI Tools Used

• Swalife Literature Mining Tool
• AI Discovery & Study Design Studio v3.2
• Predictive Analytics Prompt Studio
• Predictive Medicine Prompt Studio

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📚 Program Modules

🔬 Module 1 – Literature Mining & Evidence Structuring

Build structured disease–metabolite–target relationships and scientific evidence matrix.

🤖 Module 2 – AI Discovery & Study Design

Transform literature into AI-driven hypotheses, mechanism maps, and experimental design logic.

📊 Module 3 – Predictive Analytics & Outcome Modeling

Generate predictions, risk insights, and data-driven scientific conclusions.

🏥 Module 4 – Predictive Medicine & Scientific Reporting

Translate predictions into clinical logic and prepare structured scientific reports.

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🎯 Final Deliverables

✔ Full Project Report
✔ AI Studio Outputs
✔ Network Pharmacology Figures
✔ Predictive Analytics Interpretation
✔ Clinical Summary
✔ Final Presentation (PPT)

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🏅 Certification

“Project-Based Certification in AI-Driven Network Pharmacology & Predictive Medicine”
Issued by Swalife Biotech Ltd.