2023 · Database : the journal of biological databases and curation · open access
AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence
Romero-Tapiador et al.
The finding, in our words
The authors present AI4FoodDB, a public dataset from a one-month nutritional weight-loss intervention in 100 overweight and obese participants. The database integrates continuous wearable sensor data, food images, validated questionnaires and biological samples, providing a resource for developing AI techniques in personalised nutrition and for identifying novel digital biomarkers and endpoints.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
In progressive multiple sclerosis, higher serum neurofilament light chain levels were associated with reduced daily step counts from wearables, while higher step counts were linked to lower sNfL. A ten percent increase in steps corresponded to a 0.015 decrease in sNfL z-score, suggesting rising sNfL may predict subsequent mobility decline.
Joseph et al., Annals of clinical and translational neurology (paywalled) · source ↗
Wearable-derived digital biomarkers have been accepted by regulatory agencies as endpoints in clinical trials for Duchenne muscular dystrophy, showing their potential to support decentralised diagnostics through patient-centric monitoring. This matters because it enables more sensitive and continuous assessment of disease progression outside clinical settings.
Ma et al., Neurology and therapy (paywalled) · source ↗
Higher plasma BDNF levels were associated with a lower prevalence of sarcopenia and better kinetic and spatiotemporal gait performance in older adults.
Zhang et al., Journal of cachexia, sarcopenia and muscle · source ↗
Wearable biochemical monitoring requires a complete measurement chain that integrates quality-controlled biofluid sampling, sensor fusion and metadata capture to convert raw sensor outputs into clinically valid digital biomarkers.
The High-Definition Oncology feasibility study in 30 women with metastatic cancer demonstrated high adherence to biospecimen collection (97.4% plasma, 80.7% stool) and wearable monitoring (70–95% of days captured for activity, heart rate, sleep, and oxygen saturation). This establishes a viable framework for decentralised, multimodal data collection in oncology to support individualised treatment models.
Garma et al., JCO precision oncology (paywalled) · source ↗