Predicting disease outcomes from remote monitoring using machine learning: a systematic review.
Systematic review of machine‑learning methods applied to remote monitoring for predicting disease outcomes, focused on methodological performance rather than biological mechanisms.
What the AI sees
Systematic review of machine‑learning methods applied to remote monitoring for predicting disease outcomes, focused on methodological performance rather than biological mechanisms.
Research significance
Improving remote monitoring and ML-derived digital biomarkers can help Parkinson’s trial design and outcome measurement but the paper offers limited direct insight for therapeutic targets or mechanistic discovery.
Source abstract
No abstract available.