Jinjoo Shim
Jinjoo Shim
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Digital Biomarker
Circadian Rhythm Analysis Using Wearable-Based Accelerometry as a Digital Biomarker of Aging and Healthspan
Recognizing the pivotal role of circadian rhythm in the human aging process and its scalability through wearables, we introduce …
Jinjoo Shim
,
Elgar Fleisch
,
Filipe Barata
DOI
Non-invasive, Multi-modal Inflammatory Biomarker Discovery for Systemic Inflammation (NOVA Study): A Feasibility Study Protocol (Under Review)
Prolonged systemic inflammation is recognized as a major contributor to the development of various chronic inflammatory diseases. Daily …
Jinjoo Shim
,
Sinziana Muraru
,
Rucsandra Dobrota
,
Elgar Fleisch
,
Oliver Distler
,
Filipe Barata
DOI
1.Digital biomarker for longevity & Healthspan
Applying AI/ML and statistical methods for predicting biological age and healthspan using wearable data
May 3, 2024
5.Digitization of Inflammatory Biomarkers for Systemic Inflammation
Development of digital, multi-modal, and non-invasive inflammatory biomarkers to improve early diagnosis and patient-centered disease monitoring for systemic inflammation
May 3, 2024
The Bitemporal Lens Model—toward a holistic approach to chronic disease prevention with digital biomarkers
We introduce the Bitemporal Lens Model, a comprehensive methodology for chronic disease prevention using digital biomarkers. The …
Filipe Barata
,
Jinjoo Shim
,
Fan Wu
,
Patrick Langer
,
Elgar Fleisch
DOI
Comparative Efficacy of Commercial Wearables for Circadian Rhythm Home Monitoring from Activity, Heart Rate, and Core Body Temperature
Circadian rhythms govern biological patterns that follow a 24-hour cycle. Dysfunctions in circadian rhythms can contribute to various …
Fan Wu
,
Patrick Langer
,
Jinjoo Shim
,
Elgar Fleisch
,
Filipe Barata
DOI
Wearable-based accelerometer activity profile as digital biomarker of inflammation, biological age, and mortality using hierarchical clustering analysis in NHANES 2011–2014
Repeated disruptions in circadian rhythms are associated with implications for health outcomes and longevity. The utilization of …
Jinjoo Shim
,
Elgar Fleisch
,
Filipe Barata
DOI
Precise Segmentation of U.S. Adults from 24-Hour Wearable-based Physical Activity Profiles Using Machine Learning Clustering
Growing evidence shows that wearable-based physical activity data (e.g., accelerometer) could be used as digital biomarkers to identify …
Jinjoo Shim
,
Elgar Fleisch
,
Filipe Barata
DOI
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