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Artificial Intelligence, LLM-based generation of synthetic patients with Parkinson’s Disease: towards a digital twin paradigm for in silico studies

2026-04-29

Abstract excerpt

Heterogeneity in sporadic Parkinson’s Disease (PD) is a critical problem that drives variable rates of progression and treatment response and complicates clinical trials. Access to large PD datasets that may help in clustering this heterogeneity is restricted by privacy and regulatory constraints. Simulated patients or digital twins may offer a solution. We developed a large language model (LLM)-framework to gener...

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Literature Corpus work
cbe5a141-7fd1-5b49-ba8a-a89eecb7510d
DOI
10.64898/2026.04.28.26351471
Open publication

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Artificial Intelligence, LLM-based generation of synthetic patients with Parkinson’s Disease: towards a digital twin paradigm for in silico studiesDOI 10.64898/2026.04.28.26351471
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