New Year Offer End Date: 30th April 2024
Program

Cellular Digital Twin for Precision Nano-Theranostics

Simulating Cells, Optimizing Nanotherapy—The Future of Precision Theranostics

Skills you will gain:

About Program:

Nano-theranostics combines targeted drug delivery, imaging, and therapy into a single nanoscale platform, offering powerful solutions for cancer and complex diseases. However, patient-to-patient variability, tumor heterogeneity, immune interactions, and toxicity concerns make nanomedicine development highly challenging. Cellular digital twins—virtual computational replicas of cellular systems—provide a next-generation approach to simulate how cells respond to nanocarriers, drugs, and microenvironment conditions before clinical translation.

This workshop explores how AI-powered digital twin models integrate genomic, proteomic, imaging, and clinical data to predict therapeutic response, nanoparticle uptake, toxicity risk, and treatment outcomes. Participants will learn dry-lab workflows for building simplified cellular twin models, applying predictive analytics, and understanding how digital twins accelerate nanotherapeutic design. The program emphasizes future-ready applications in precision oncology, personalized nanomedicine, and safe-by-design nano-therapeutics.

Aim:

This workshop aims to introduce participants to the concept of cellular digital twins and their transformative role in precision nano-theranostics. It focuses on how computational models, AI, and multi-omics data can simulate cellular behavior to optimize nanoparticle-based diagnosis and targeted therapy. Participants will learn how digital twin frameworks support personalized treatment design and safer nanomedicine development. The program bridges nanotechnology, systems biology, and AI-driven precision healthcare.

Program Objectives:

  • Understand the concept and architecture of cellular digital twins.
  • Learn how nano-theranostic systems interact with cellular pathways.
  • Explore AI-driven prediction of nanoparticle uptake, efficacy, and toxicity.
  • Integrate multi-omics and imaging data into digital twin frameworks.
  • Study personalized and safe-by-design strategies for nano-therapeutic development.

What you will learn?

Day 1: Foundations of Cellular Digital Twins & Multi-Omics Integration

  • What is a Cellular Digital Twin? (CDT architecture: data + model + feedback loop)
  • Static vs Dynamic Biological Models (ODE, agent-based, hybrid models)
  • Role of CDTs in Precision Nanomedicine & Personalized Therapy
  • Case studies from literature (tumor microenvironment modeling, patient-specific simulations)
  • Hands-On : Load real dataset (e.g., TCGA / GEO RNA-seq), Perform preprocessing & normalization
  • Hands-On : Apply PCA/UMAP for cell-state visualization, basic cellular state map,  Gene interaction network (GIN)

Day 2: Modeling Nano-Therapeutic Interactions in a Digital Cell

  • Nano-theranostics overview (drug delivery + diagnostics integration)
  • Nanoparticle-cell interaction mechanisms: Endocytosis pathways & Surface functionalization & targeting ligands
  • Receptor-ligand binding models, Systems pharmacology basics
  • Pathway modeling: KEGG / Reactome pathways
  • Signal transduction under nanoparticle influence, Drug perturbation modeling & Dose-response curve modeling 
  • Computational Modeling: Gene Regulatory Networks (GRNs)

Day 3: Real-Time Updating, Uncertainty & Precision Decision Systems

  • Predictive response modeling
  • Clinical decision support systems (CDSS)
  • Digital twin-guided therapy optimization
  • Ethical & regulatory considerations (FDA digital twin frameworks)
  • Simulate nanoparticle interaction with a cell pathway
  • Model drug-induced gene expression changes
  • Hands On Tools: Python/PyMC/Numpy/ Scipy

Mentor Profile

Fee Plan

INR 1999 /- OR USD 50

Get an e-Certificate of Participation!

Intended For :

  • Doctoral Scholars & Researchers: PhD candidates seeking to integrate computational workflows into their molecular research.
  • Postdoctoral Fellows: Early-career scientists aiming to enhance their data-driven publication profile.
  • University Faculty: Professors and HODs interested in modern bioinformatics pedagogy and tool mastery.
  • Industry Scientists: R&D professionals from the Biotechnology and Pharmaceutical sectors transitioning to genomic-driven discovery.
  • Postgraduate Students: Final-year PG students looking for specialized research-grade exposure beyond standard curricula.

Career Supporting Skills

Program Outcomes

Participants will be able to:

  • Explain how cellular digital twins enable precision nano-theranostics.
  • Identify key biological and nano-scale parameters influencing therapy response.
  • Apply AI concepts to predict efficacy, uptake, and safety of nanocarriers.
  • Understand integration of omics + imaging data into digital twin models.
  • Propose personalized nano-therapeutic strategies supported by simulations.

FREEDOM TO LEARN 10% OFF All Courses & Workshops Use Code: NANOINDIA10 ⏳ Offer Ends In: Loading... Learn Today. Lead Tomorrow. Explore Programs →
FREEDOM TO LEARN 10% OFF All Courses & Workshops Use Code: NANOINDIA10 ⏳ Offer Ends In: Loading... Learn Today. Lead Tomorrow. Explore Programs →