What question did this study set out to answer?

The aim is to establish a structured approach to developing personal biological digital twins through a product ladder framework.

May 16, 2026Open Access

From Data Aggregation to Mechanistic Simulation: A Product Ladder Framework for Personal Biological Digital Twins

Key Points

The aim is to establish a structured approach to developing personal biological digital twins through a product ladder framework.
Introduces a three-tier product ladder consisting of data aggregation, AI interpretation, and mechanistic simulation.
Applies Carlile's knowledge boundary framework to connect each tier.
Focuses on delivering incremental value while ensuring progress towards full mechanistic simulation.
Details how each tier can add value in the context of biological digital twins.
Illustrates potential pathways for commercialization and user adaptation across tiers.

Abstract

Proposes a three-tier product ladder for personal biological digital twins — aggregation, AI interpretation, and mechanistic simulation — mapped to Carlile's knowledge boundary framework. Addresses how to commercialize biological digital twins by delivering incremental value at each tier while preserving an architectural path toward full mechanistic simulation.

From Data Aggregation to Mechanistic Simulation: A Product Ladder Framework for Personal Biological Digital Twins

Key Points

Abstract

Cite This Study

Also Consider

Also Consider