Sep 6, 2024 · Integrating gait data with metabolomics and clinical data improved predictions for challenging-to-detect comorbidities such as hallucinations.

Sep 6, 2024 · Integrating gait data with metabolomics and clinical data improved predictions for challenging-to-detect comorbidities such as hallucinations.

Sep 6, 2024 · Integrating gait data with metabolomics and clinical data improved predictions for challenging-to-detect comorbidities such as hallucinations.

Sep 10, 2024 · Integrating gait data with metabolomics and clinical data improved predictions for challenging-to-detect comorbidities such as hallucinations.

Sep 6, 2024 · The researchers explored the use of digital gait data, along with metabolomics and clinical data, to predict various health outcomes in Parkinson's disease (PD ...

Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. https://doi.org/10.1038/s41746-024-01236-z ...

This approach using digital biomarkers and multimodal data integration can assist in objective disease monitoring, diagnosis, and comorbidity detection.

May 15, 2024 · This study used digital gait sensor data to predict clinically relevant outcomes in PD, including the integration with complementary metabolomics and clinical ...

Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease on behalf of the NCER-PD Consortium.

Sep 6, 2024 · New article! Read Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease ...