AI + Nanobiotechnology in Cancer Theranostics
“Transforming Cancer Therapy with AI-Optimized Nanobiotechnology.”
About This Course
Cancer theranostics, which integrates diagnostic and therapeutic approaches, has emerged as a promising solution for personalized medicine. The integration of AI with nanobiotechnology can enhance the precision of both cancer detection and treatment by enabling targeted therapy and minimizing side effects. This workshop will cover the principles of nanobiotechnology, AI-driven models for nanoparticle design, and how these technologies can be utilized in the early diagnosis and effective treatment of cancer.
Over the course of three days, participants will gain a deep understanding of how AI can be leveraged to design, test, and optimize nanoparticles for targeted drug delivery. Through case studies and hands-on sessions, participants will explore real-world applications of AI and nanobiotechnology, including the use of smart nanoparticles in imaging, treatment, and personalized medicine for various types of cancer.
Aim
This workshop aims to explore the convergence of artificial intelligence (AI) and nanobiotechnology in the field of cancer theranostics. Participants will learn how AI can optimize nanomaterials for early detection, targeted therapy, and real-time monitoring of cancer. The goal is to provide hands-on experience in designing smart nanomaterials and utilizing AI models for personalized cancer therapy.
Workshop Objectives
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Understand the role of nanobiotechnology and AI in cancer theranostics.
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Learn to design AI-driven nanoparticles for targeted cancer therapy and diagnosis.
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Gain hands-on experience in developing models for nanoparticle optimization using AI.
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Understand the integration of smart nanomaterials in personalized cancer treatment.
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Explore real-world applications of AI in cancer imaging, diagnostics, and therapy.
Workshop Structure
Day 1 – Introduction to Cancer Nanotheranostics
- Concept of theranostics (therapy + diagnostics)
- Role of nanotechnology in targeted drug delivery & imaging
- AI-assisted cancer diagnosis from nano-enabled imaging modalities
- Case study: AI in nanoparticle-based photothermal therapy
Day 2 – AI for Personalized Nanotherapeutic Design
- Predictive models for tumor targeting efficiency
- AI-based image analysis for treatment planning
- Demo: Using AI to classify tumor imaging data
- Integrating patient-specific parameters into nanoparticle design
Day 3 – Clinical Translation & Market Trends
- Regulatory and clinical trial landscape for AI-nanotheranostics
- Investment and commercialization opportunities
- Capstone Discussion: Drafting a research-to-clinic roadmap for AI-cancer nanotherapy
Who Should Enrol?
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Undergraduate/postgraduate degree in Nanotechnology, Biotechnology, Bioinformatics, Molecular Biology, or related fields.
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Professionals in healthcare, pharma, diagnostics, and medical research sectors.
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Data scientists and AI/ML engineers with an interest in applying their skills to nanobiotechnology and oncology.
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Individuals passionate about cancer research, precision medicine, and innovative drug delivery systems.
Important Dates
Registration Ends
09/24/2025
IST 2:00 PM
Workshop Dates
09/24/2025 – 09/26/2025
IST 3:00 PM
Workshop Outcomes
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Ability to design AI-assisted nanomaterials for targeted cancer therapy.
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Understanding of how AI can optimize the efficacy of nanoparticles in oncology.
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Knowledge of how to apply nanobiotechnology in the early detection and treatment of cancer.
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Hands-on experience with AI models for designing nanoparticles and optimizing drug delivery.
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Understanding of the integration of nanotechnology and AI in personalized cancer therapy.
Fee Structure
Student Fee
₹1399 | $55
Ph.D. Scholar / Researcher Fee
₹1699 | $60
Academician / Faculty Fee
₹2199 | $75
Industry Professional Fee
₹2699 | $80
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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