- Understand core concepts of insect immunology, including immune pathways, immune priming, and host–pathogen interactions.
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Interpret how artificial intelligence and machine learning are applied to analyze insect immune responses and biological datasets.
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Apply AI-based approaches to predict pest resistance and immune suppression mechanisms.
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Analyze real-world case studies involving biopesticides, RNAi, and immune-modulating agents.
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Develop basic predictive models for pest management using immune and molecular data.
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Gain insights into global, sustainable, and data-driven pest control strategies relevant to academia and industry.
Mentor Based
AI-Driven Insect Immunology: Enhancing Pest Control Through Advanced Biotechnological Solutions
From Immune Pathways to AI-Powered Pest Management
About This Course
A 3-day, globally relevant workshop on insect immunity and AI-enabled pest management—covering immune pathways, immune priming, RNAi/biopesticide relevance, and predictive modeling. Participants will complete guided, hands-on exercises (40%) using datasets and open tools to build practical insights for research and real-world pest control.
Aim
To equip participants with a strong understanding of insect immune systems and the practical application of artificial intelligence in analyzing immune responses, predicting pest resistance, and developing sustainable, next-generation pest control strategies through a balanced blend of theory and hands-on learning.
Workshop Objectives
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To introduce the fundamentals of insect immunology, including humoral and cellular immune pathways and immune priming.
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To explain the role of artificial intelligence in analyzing insect immune parameters and gene expression data.
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To demonstrate how AI-driven approaches can predict insect resistance to pathogens, pesticides, and biocontrol agents.
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To provide hands-on experience with open-source tools for immune response modeling and data-driven pest management.
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To highlight global case studies linking insect immunity, AI, and sustainable pest control practices.
Workshop Structure
Day 1: Introduction to Insect Immunology & AI Integration
- Global Challenges in Pest Control: Discuss the environmental impact of current pest management practices and how insect immunology offers sustainable solutions.
- Global Advances in Insect Immunology: Highlight international research and breakthroughs in insect immunity, focusing on cutting-edge methodologies used in various countries.
- AI in Insect Immunology: Deep dive into AI-driven research on immune parameters, including machine learning models used in countries like the U.S. and Europe.
- Include examples of AI applications in various insect pest management projects from around the world.
🛠️ Hands-on Tools:
- Practical work on AI-based immune response prediction using global datasets to simulate immune responses to different pathogens (e.g., agricultural pests in India vs. the U.S.).
- Use open-source tools to analyze insect immune system data.
Day 2: Mechanisms of Immune Response and AI in Enhancing Immunity
- Global Perspective on Immune Pathways: Compare humoral and cellular immune responses across different insect species and regions, with case studies from areas like Southeast Asia and Europe.
- Discuss how AI optimizes pest resistance strategies globally.
- Immune Priming in Insects: Explore international studies on immune priming, showcasing its implementation in pest management worldwide.
🛠️ Hands-on Tools:
- Practical analysis of case studies from around the world, e.g., AI in predicting immune responses in pest species across climates (tropical vs. temperate zones).
- Use international datasets for simulating immune responses.
Day 3: Immune Priming and AI Applications in Pest Management
- AI and Biopesticides: Discuss how AI develops new biopesticides, focusing on analyzing insect DNA and proteins for discovering new biocontrol agents.
- Explore the global application of RNAi technology in manipulating insect immune responses.
- AI in Global Pest Management: Examine AI-driven pest management solutions from countries like Japan, the U.S., and India.
- Explore future trends in AI and pest management from an international perspective.
🛠️ Hands-on Tools:
- Simulate biopesticide responses using AI-powered tools to predict how bio-pesticides affect immune responses in various ecosystems (agricultural vs. wild populations).
- Participants create their own predictive models for pest control based on immune data.
Who Should Enrol?
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Entomologists & Immunologists – Focused on insect immunity and pest control.
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AI & Machine Learning Professionals – Applying AI to pest management and biological research.
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Agricultural Scientists – Seeking AI-driven solutions for pest control.
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Biotechnologists – Involved in biopesticide development and RNAi technology.
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Environmental Scientists – Focused on sustainable pest management.
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Researchers & Academics – In immunology, AI, or pest control.
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Students & Graduate Researchers – Interested in insect immunology and AI applications in pest management.
Important Dates
Registration Ends
01/20/2026
IST 4:30 PM
Workshop Dates
01/20/2026 – 01/22/2026
IST 5: 30PM
Workshop Outcomes
Meet Your Mentor(s)
Fee Structure
Student
₹1999 | $60
Ph.D. Scholar / Researcher
₹2999 | $70
Academician / Faculty
₹3999 | $80
Industry Professional
₹5999 | $100
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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