AI + Nanobiotechnology in Cancer Theranostics-4

• Understand the role of nanobiotechnology and AI in cancer theranostics.

• Learn to design AI-driven nanoparticles for targeted cancer therapy and diagnosis.

• Gain hands-on experience in developing models for nanoparticle optimization using AI.

• Understand the integration of smart nanomaterials in personalized cancer treatment.

• Explore real-world applications of AI in cancer imaging, diagnostics, and therapy.

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

• Undergraduate/postgraduate degree in Nanotechnology, Biotechnology, Bioinformatics, Molecular Biology, or related fields.

• Professionals in healthcare, pharma, diagnostics, and medical research sectors.

• Data scientists and AI/ML engineers with an interest in applying their skills to nanobiotechnology and oncology.

• Individuals passionate about cancer research, precision medicine, and innovative drug delivery systems.