ArticleCurrent opinion in systems biology2020
Real-time, personalized medicine through wearable sensors and dynamic predictive modeling: a new paradigm for clinical medicine.
Article in Current opinion in systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 86 citations in OpenAlex.
- Soldier performance management: insights from boots on ground research and recommendations for practitioners.BMJ military health · 2025Review
- Harnessing artificial intelligence to address substance use disorders in critically ill adolescents: a synergistic approach.Annals of intensive care · 2025Article
- Multidomain Molecular Sensor Devices, Systems, and Algorithms for Improved Physiological Monitoring.Micromachines · 2025Review
- Big Data-Driven Health Portraits for Personalized Management in Noncommunicable Diseases: Scoping Review.Journal of medical Internet research · 2025Article
- Analysis of Personalized Cardiovascular Drug Therapy: From Monitoring Technologies to Data Integration and Future Perspectives.Biosensors · 2025Review
- A Mobile Health Intervention in Caregivers of Patients Undergoing Hematopoietic Cell Transplantation: A Randomized Controlled Trial to Examine Health-Related Quality of Life.BMC digital health · 2025Article
- Preparing Wearable Data for AI-Powered Mood and Compliance Prediction in HCT Patients and Caregivers.Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data · 2024Article
- Folded flexure MOEMS for the detection of PSA and hepatitis DNA as biosensor for prostate cancer and viruses.Scientific reports · 2024Article
- Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care.JMIR mHealth and uHealth · 2024Article
- The Impact of Stress and Social Determinants on Diet in Cardiovascular Prevention in Young Women.Nutrients · 2024Review
- Dyadic and Individual Variation in 24-Hour Heart Rates of Cancer Patients and Their Caregivers.Bioengineering (Basel, Switzerland) · 2024Article
- Approaches of wearable and implantable biosensor towards of developing in precision medicine.Frontiers in medicine · 2024Review
- Wearables for personalized monitoring of masticatory muscle activity - opportunities, challenges, and the future.Clinical oral investigations · 2023Article
- From numbers to medical knowledge: harnessing combinatorial data patterns to predict COVID-19 resource needs and distinguish patient subsets.Frontiers in medicine · 2023Article
- A Review of Digital Health and Biotelemetry: Modern Approaches towards Personalized Medicine and Remote Health Assessment.Journal of personalized medicine · 2022Review
- Analysis of wearable time series data in endocrine and metabolic research.Current opinion in endocrine and metabolic research · 2022Review
- Field-Based Assessments of Behavioral Patterns During Shiftwork in Police Academy Trainees Using Wearable Technology.Journal of biological rhythms · 2022Observational
- Research on Digital Technology Use in Cardiology: Bibliometric Analysis.Journal of medical Internet research · 2022Article
- Coupled Multiphysics Modelling of Sensors for Chemical, Biomedical, and Environmental Applications with Focus on Smart Materials and Low-Dimensional Nanostructures.Chemosensors (Basel, Switzerland) · 2022Review
- Consumer-grade wearables identify changes in multiple physiological systems during COVID-19 disease progression.Cell reports. Medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Accurately predicting the onset and course of a disease in an individual is a major unmet challenge in medicine due to the complex and dynamic nature of disease progression. Continuous data from wearable technologies and biomarker data with a fine time resolution provide a unique opportunity to learn more about disease evolution and to usher in a new era of personalized and real-time medicine. Herein, we propose the potential of real-time, continuously measured physiological data as a noninvasive biomarker approach for detecting disease transitions, using allogeneic hematopoietic stem cell transplant (HCT) patient care as an example. Additionally, we review a recent computational technique, the landscape dynamic network biomarker method, that uses biomarker data to identify transition states in disease progression and explore how to use it with both biomarker and physiological data for earlier detection of graft-versus-host disease specifically. Throughout, we argue that increased collaboration across multiple fields is essential to realizing the full potential of wearable and biomarker data in a new paradigm of personalized and real-time medicine.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.