Workshop Registration End Date :23 Feb 2026

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Virtual Workshop

Cellular Digital Twin for Precision Nano-Theranostics

Simulating Cells, Optimizing Nanotherapy—The Future of Precision Theranostics

Skills you will gain:

About Workshop:

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.

What you will learn?

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

Mentor Profile

Fee Plan

StudentINR 1699/- OR USD 70
Ph.D. Scholar / ResearcherINR 2699/- OR USD 80
Academician / FacultyINR 3699/- OR USD 95
Industry ProfessionalINR 4699/- OR USD 110

Important Dates

Registration Ends
23 Feb 2026 Indian Standard Timing 7:00 PM
Workshop Dates
23 Feb 2026 to
25 Feb 2026  Indian Standard Timing 8:00 PM

Get an e-Certificate of Participation!

2024Certfiacte

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

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.