Cellular Digital Twin for Precision Nano-Theranostics
Simulating Cells, Optimizing Nanotherapy—The Future of Precision Theranostics
About This Course
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.
Workshop 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.
Workshop Structure
Day 1: Foundations of Cellular Digital Twins & Multi-Omics Integration
- What is a Cellular Digital Twin?
- Static vs dynamic biological models
- Role of digital twins in precision nanomedicine
- Overview of transcriptomics, proteomics, metabolomics
- Data preprocessing and normalization
- Dimensionality reduction (PCA/UMAP conceptually)
- Systems-level representation of cellular states
- Loading sample transcriptomic dataset
- Building a basic cellular state map
- Constructing gene interaction network
- Visualizing biological heterogeneity
- Challenges in real-time integration
Day 2: Modeling Nano-Therapeutic Interactions in a Digital Cell
- Nano-theranostics overview
- Nanoparticle-cell interaction dynamics
- Receptor targeting & uptake pathways
- Systems pharmacology principles
- Gene regulatory networks
- Pathway perturbation modeling
- Signal propagation under drug influenc
- Simulating dose-response effects
- Visualizing pathway activation/inhibition
- Predicting responder vs non-responder states
Day 3: Real-Time Updating, Uncertainty & Precision Decision Systems
- Streaming biological data concepts
- Feedback loops in therapeutic systems
- Adaptive model recalibration
- Monte Carlo simulation concepts
- Confidence estimation in predictions
- Predictive response modeling
- Identifying dominant omics drivers
- Visualizing uncertainty bands
- Designing a mini digital twin decision workflow
Who Should Enrol?
- 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.
Important Dates
Registration Ends
02/18/2026
IST 7:00 PM
Workshop Dates
02/18/2026 – 02/20/2026
IST 8:00 PM
Workshop 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.
Fee Structure
Student Fee
₹1699 | $70
Ph.D. Scholar / Researcher Fee
₹2699 | $80
Academician / Faculty Fee
₹3699 | $95
Industry Professional Fee
₹4699 | $110
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Publication Opportunity
Get published in a prestigious open-access journal.
Centre of Excellence
Become part of an elite research community.
Networking & Learning
Connect with global researchers and mentors.
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
View All Feedbacks →