From mechanistic models to artificial intelligence: exploring the potential of digital twins in geriatric oncology
This survey explores how machine learning and artificial intelligence (AI) can be integrated with mechanistic models to create more accurate, dynamic, predictive, and personalized representations of biological systems, commonly referred to as digital twins (DTs). Mechanistic models, such as pathway-based Boolean or differential equation frameworks, provide interpretable insights into biological processes; however, calibrating these models to represent individual variability across large, heterog
Record details
Published: 23 July 2026
Source: Frontiers in Artificial Intelligence
Category: Research
Topics: Biotech
Retrieved: 25 July 2026
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How to cite this record
ethics.ai (23 July 2026), “From mechanistic models to artificial intelligence: exploring the potential of digital twins in geriatric oncology,” evidence record 13186, https://ethics.ai/record/13186 (originally published by Frontiers in Artificial Intelligence).
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