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Control of Medical Digital Twins with Artificial Neural Networks
March 22, 2024, 4:42 a.m. | Lucas B\"ottcher, Luis L. Fonseca, Reinhard C. Laubenbacher
cs.LG updates on arXiv.org arxiv.org
Abstract: The objective of personalized medicine is to tailor interventions to an individual patient's unique characteristics. A key technology for this purpose involves medical digital twins, computational models of human biology that can be personalized and dynamically updated to incorporate patient-specific data collected over time. Certain aspects of human biology, such as the immune system, are not easily captured with physics-based models, such as differential equations. Instead, they are often multi-scale, stochastic, and hybrid. This poses …
abstract artificial artificial neural networks arxiv biology computational control cs.lg cs.sy data digital digital twins eess.sy human human biology key math.ds math.oc medical medicine networks neural networks patient personalized q-bio.qm technology twins type
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