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From Noise to Signal: Unveiling Treatment Effects from Digital Health Data through Pharmacology-Informed Neural-SDE
March 7, 2024, 5:42 a.m. | Samira Pakravan, Nikolaos Evangelou, Maxime Usdin, Logan Brooks, James Lu
cs.LG updates on arXiv.org arxiv.org
Abstract: Digital health technologies (DHT), such as wearable devices, provide personalized, continuous, and real-time monitoring of patient. These technologies are contributing to the development of novel therapies and personalized medicine. Gaining insight from these technologies requires appropriate modeling techniques to capture clinically-relevant changes in disease state. The data generated from these devices is characterized by being stochastic in nature, may have missing elements, and exhibits considerable inter-individual variability - thereby making it difficult to analyze using …
abstract arxiv continuous cs.ai cs.lg data development devices digital digital health effects health health data insight math.ds medicine modeling monitoring noise novel patient personalized q-bio.qm real-time signal technologies through treatment type wearable wearable devices
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