AI + Nanobiotechnology in Cancer Theranostics-4

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.

• 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.