This specialized program integrates AI with immunology to advance vaccine development. Participants will learn how AI tools can analyze vast biological datasets to identify potential vaccine candidates, predict immune responses, and streamline the vaccine development pipeline. The course covers bioinformatics, machine learning models, and simulation techniques critical to modern vaccine research.

Aim

The aim of the AI in Immunoinformatics and Vaccine Development program is to empower professionals to harness advanced AI technologies to accelerate and refine the vaccine development process. This program focuses on utilizing AI to enhance predictive accuracy, streamline research, and foster innovative approaches in creating effective immunological responses.

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Workshop Objectives

Understand the role of AI in immunoinformatics and vaccine development.
Explore AI-driven techniques for epitope mapping and immune response modeling.
Apply AI tools to predict vaccine efficacy and safety.
Evaluate the integration of AI in clinical trial design for vaccines.
Discuss the ethical implications of using AI in vaccine research.
Foster interdisciplinary collaborations between immunologists, data scientists, and clinical researchers.
Enhance skills in managing and analyzing large-scale immunological data using AI.

Workshop Structure

Day 1: Basics of Immunology and AI Applications in Immunology
Introduction to Immunology and Immunoinformatics

Overview of the immune system: components and functions
Key concepts in immunoinformatics
Types of data in immunology: epitope data, HLA typing, etc.

AI in Immunology

Overview of AI applications in immunology research
Predicting antigen-antibody interactions using AI
Modeling immune responses to pathogens
Tools and techniques for AI modeling in immunoinformatics

Day 2: AI in Vaccine Development
AI-Driven Vaccine Development

Reverse vaccinology approaches
Role of AI in identifying novel vaccine candidates
Case studies: Recent AI-driven vaccine developments (e.g., COVID-19 vaccines)

Peptide-Based Vaccine Design Using AI

Designing peptide-based vaccines: steps and challenges
AI tools for designing peptide-based vaccines

Day 3: Advanced Topics and Ethical Considerations
AI in Autoimmune Diseases

How AI helps in understanding autoimmune diseases
Current research and advancements in AI-driven autoimmune disease research

Integrating Immunoinformatics with Systems Biology

Overview of systems biology approaches
How immunoinformatics and AI can be integrated with systems biology for vaccine
development

Ethical and Safety Considerations in AI-Driven Vaccine Development

Addressing vaccine hesitancy and misinformation
Balancing rapid vaccine development with safety assessments
Discussion on the ethical challenges and the importance of transparency

Participant’s Eligibility

Immunologists and Virologists
Bioinformaticians and Data Scientists
PhD Scholars and Postgraduate Students
Healthcare Professionals
Biomedical Researchers
Public Health Policymakers
Pharmaceutical Professionals

Important Dates

Registration Ends

2024-11-20
Indian Standard Timing 4:00 pm

Workshop Dates

2024-11-20 to 2024-11-22
Indian Standard Timing 4:30 pm

Workshop Outcomes

AI and Machine Learning Proficiency: Mastery of AI methodologies applicable to immunological data and vaccine research.
Data Analysis and Management: Skills in handling complex biological data sets for vaccine development.
Predictive Modeling: Ability to build and interpret models predicting immune responses and vaccine outcomes.
Ethical Research Practices: Understanding ethical considerations in deploying AI for health interventions.
Collaborative Research Techniques: Expertise in working across multidisciplinary teams to develop vaccines.
Innovative Problem Solving: Capacity to apply AI for solving complex problems in vaccine development.
Effective Communication: Skills to communicate complex AI concepts and results to non-specialist audiences, including policymakers and the public.

Mentor Profile

Name: Dr. Bandoo Chhagan Chatale
Designation: Founder and Mentor of Pharmacy Success Hub
Affiliation: Pharmacy Success Hub

Dr. Bandoo Chhagan Chatale is a distinguished figure in the pharmacy sector, celebrated for his visionary and mission-oriented approach. As the founder and mentor of Pharmacy Success Hub since July 2014, he has been a guiding force in empowering pharmacy professionals. He completed his Ph.D. in Pharmaceutical Chemistry from the Institute of Chemical TechDeactivatedlogy, Mumbai, in September 2020, after obtaining his master’s degree from NIPER, Mohali in June 2014. With a decade of experience in teaching and research, Dr. Chatale specializes in Computer-Aided Drug Design, taste masking, synthesis of small chemical entities, cocrystal formation, and Hot Melt Extrusion (HMT) TechDeactivatedlogy. His work extends into the inDeactivatedvative realms of Artificial Intelligence in Pharmacy and Healthcare. Dr. Chatale has authored six international research articles and holds a design patent granted by the UK government, marking significant contributions to his field.

Fee Structure

Student

INR. 1399
USD. 50

Ph.D. Scholar / Researcher

INR. 1699
USD. 55

Academician / Faculty

INR. 2199
USD. 60

Industry Professional

INR. 2499
USD. 85

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies

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Key Takeaways

Access to Live Lectures
Access to Recorded Sessions
e-Certificate
Query Solving Post Workshop

Future Career Prospects

Leadership in Biomedical Research: Senior roles managing AI-driven vaccine development projects.
Consultancy in Biotech and Pharma: Expert advisory roles in pharmaceutical companies leveraging AI.
Academic and Teaching Positions: Educating the next generation on AI applications in immunology and vaccine development.
Startup Ventures: Initiating startups focused on AI in healthcare and vaccine development.
Global Health Initiatives: Contributing to international efforts to combat emerging diseases.
Policy and Regulatory Roles: Influencing public health policies and standards related to vaccine development.
Research Grants and Funding: Leading grant-funded research projects in AI and vaccine development.
Innovation in Vaccine Technology: Driving the development of new vaccine technologies through innovative AI applications.