Digital Twins & Personalized Systems Medicine — Hands-on

Learn how to combine mechanistic systems biology models with patient level data streams to create digital twins for personalized medicine. This module covers digital twin concepts, data and modeling pipelines, simulation workflows for stratification and scenario testing, and communication of decision support outputs in clinical and translational settings.

Digital Twins & Personalized Systems Medicine

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Session Index

Session 1 — Concepts & Architectures of Digital Twins Session 2 — Data, Models & Personalization Pipelines Session 3 — Simulation, Stratification & Decision Support Session 4 — Mini Capstone: Prototype a Simple Digital Twin

Session 1

Fee: Rs 8800

Concepts & Architectures of Digital Twins

What digital twins mean in life sciences and medicine

virtual patient idea model plus data fusion monitoring and prediction roles

Architecture patterns for digital twins

offline vs online twins batch, streaming and hybrid flows loop between data, model and action

Scope, assumptions and ethical framing

disease areas and use cases model assumptions awareness fairness and transparency notes

Session 2

Fee: Rs 11800

Data, Models & Personalization Pipelines

Data sources for digital twins

EHR and lab results omics and imaging summaries wearable and sensor streams (conceptual)

Mechanistic and data driven model components

ODE and PBPK style blocks risk scores and ML surrogates linking parameters to patient features

Personalization and updating workflows

initialization from baseline data parameter and state updates handling missing or delayed data

Session 3

Fee: Rs 14800

Simulation, Stratification & Decision Support

Running virtual scenarios on a twin

therapy schedules and doses what if progression paths safety and boundary checks

Risk stratification and responder identification

summary metrics and endpoints cohorts and phenotypes from simulations uncertainty in risk estimates

Presenting decision support outputs responsibly

dashboards and summaries confidence bands and caveats keeping clinicians in the loop

Session 4

Fee: Rs 18800

Mini Capstone: Prototype a Simple Digital Twin

Select a small use case and sketch a twin architecture

Theory plus guided practical

Implement a lightweight twin prototype with sample data

simple mechanistic block or surrogate personalization from a few records simulate basic scenarios

Deliverables: notebook, architecture diagram and brief note

Python or R notebook diagram of data and model flow PDF or HTML summary

PDF

Digital Twins and Personalized Systems Medicine Training | Virtual Patients & Decision Support

Digital Twins & Personalized Systems Medicine — Hands-on