arXiv Machine Learning July 2, 2026 By Md Rakibul Haque, Shireen Elhabian, Warren Woodrich Pettine

Timesynth: A Temporal Fidelity Framework for Health Signal Digital Twins

Read the original on arXiv Machine Learning →

arXiv:2607. 00431v1 Announce Type: new Abstract: Forecasting models for health-signal digital twins must preserve the oscillatory, frequency, phase, and state-transition dynamics of physiological signals, yet the pointwise metrics used to benchmark them cannot detect when these fundamental properties are lost.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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