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Digital Twins & Patient Specific Systems Models Training | Mechanistic Twins & Simulation

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Systems Biology, Network Medicine & Pathway Modeling >> Digital Twins & Patient Specific Systems Models Training | Mechanistic Twins & Simulation

Digital Twins & Patient Specific Systems Models — Hands-on

Learn how to design and implement digital twins and patient specific systems models that combine mechanistic models with omics, imaging and clinical data. This module focuses on model structuring, data linkage, calibration logic and scenario simulation so that you can build transparent and decision oriented digital twin prototypes for research and translational settings.

Digital Twins & Patient Specific Systems Models
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Session 1
Fee: Rs 8800
Concepts, Architectures & Use Cases
  • Digital twin ideas in engineering and life sciences
  • virtual replicas of patients or systems mechanistic plus data driven hybrids research vs clinical scenarios
  • Architectural patterns for biomedical digital twins
  • core mechanistic model layer data ingestion and pre processing layer interface, dashboard and API ideas
  • Scoping use cases and requirements for twins
  • therapy planning and what if scenarios monitoring disease trajectory trial enrichment and in silico arms
Session 2
Fee: Rs 11800
Structuring Patient Specific Mechanistic Models
  • Choosing model form and level of detail
  • ODE and compartment models PK PD and systems pharmacology structures coarse vs fine grained trade offs
  • Parameter maps for patient specific customisation
  • which parameters are patient specific linking to covariates and omics priors and physiological ranges
  • Digital twin ready model implementation practices
  • modular code and configuration files SBML and compatible formats unit testing and sanity checks
Session 3
Fee: Rs 14800
Data Integration, Updating & Monitoring
  • Data streams for twins and how to wire them
  • omics and biomarker panels imaging and device signals EHR and longitudinal labs
  • Updating models with new observations
  • refitting and recalibration logic filtering and state estimation ideas drift detection and alerting
  • Simulation dashboards and decision facing outputs
  • what if and scenario sliders risk bands and forecast plots documenting assumptions and limits
Session 4
Fee: Rs 18800
Mini Capstone: Prototype Digital Twin Workflow
  • Define a small digital twin scenario and data bundle
  • Theory + Practical
  • Instantiate a patient specific model and run scenarios
  • parameter customisation from data baseline and intervention simulations simple dashboard style outputs
  • Deliverables: model, scripts, configuration and short note
  • SBML or notebook model implementation config and example patient data files interpretation and future extension ideas


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