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Timesynth: A Temporal Fidelity Framework for Health Signal Digital Twins
Md Rakibul Haque, Shireen Elhabian, Warren Woodrich Pettine
Forecasting models for health-signal digital twins must preserve the oscillatory, frequency, phase, and state-transition dynamics of physiological signals, yet the pointwise metric…
TimeSynth: A Framework for Uncovering Systematic Biases in Time Series Forecasting
Md Rakibul Haque, Vishwa Goudar, Shireen Elhabian +1
Time series forecasting is a fundamental tool with wide ranging applications, yet recent debates question whether complex nonlinear architectures truly outperform simple linear mod…
Assessing Foundation Models' Transferability to Physiological Signals in Precision Medicine
Matthias Christenson, Cove Geary, Brian Locke +2
The success of precision medicine requires computational models that can effectively process and interpret diverse physiological signals across heterogeneous patient populations. W…