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Digital Twin

Patient Digital Twin Updates Forecasts Without Retraining

US & West ·

ICare-DT, a Transformer-based twin, updates a latent patient state hourly from new measurements without retraining. Trained on 140,473 eICU-CRD stays, its later forecasts beat earlier ones in all 12 settings, with gains confirmed on a second database and traced to the patient's own measurements.

Why it matters

Demonstrates continuous forecast updating as new data arrives and robustness when transferred to another database, a central question for any predictive model of large systems.

Relevant to DT products

Original headline
ICare-DT: a digital twin for continuous forecasting of intensive care patients
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Digital Twins for Clinical Development: A Five-Level Framework from Prognostic Adjustment to In-Silico Trials

Digital twins are increasingly discussed in drug development, often narrowly as virtual control arms or synthetic data. We propose a broader framework for data-driven clinical digital twins, organized into five levels according to how much of the trial data matrix of baseline covariates, treatment…

DTCDT.StoragearXiv API — полнотекстовый поиск "digital twin" ↗