Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

13.2K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.2K
Data Reporting and Recording01:24

Data Reporting and Recording

5.4K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.4K
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

544
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
544
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

253
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
253
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

330
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
330
Longitudinal Studies01:26

Longitudinal Studies

494
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
494

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Wearable measured physiological stress and activity patterns changes after 2025 Los Angeles wildfire among older adults: findings from a pilot prospective cohort study.

Environmental research, health : ERH·2026
Same author

PregMedNet: Multifaceted maternal medication impacts on neonatal complications.

Nature communications·2026
Same author

Early life stress enhances the association between residential nature exposure and fasting blood glucose.

PloS one·2026
Same author

Autonomous biomedical research with an artificial intelligence agent.

Science (New York, N.Y.)·2026
Same author

LOESS and DE-SWAN can induce artifactual "waves" of molecular aging.

bioRxiv : the preprint server for biology·2026
Same author

Automated Text Message Outreach to Increase Diabetes Screening: A Pragmatic Randomized Trial.

medRxiv : the preprint server for health sciences·2026

Related Experiment Video

Updated: Jan 25, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.6K

A longitudinal big data approach for precision health.

Sophia Miryam Schüssler-Fiorenza Rose1,2,3, Kévin Contrepois1, Kegan J Moneghetti4,5,6

  • 1Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.

Nature Medicine
|May 10, 2019
PubMed
Summary

Deep longitudinal profiling using omics and wearables aids precision health. This approach identified over 67 health discoveries and encouraged participants to adopt healthier lifestyles, improving disease risk assessment.

More Related Videos

Precise Cellular Ablation Approach for Modeling Acute Kidney Injury in Developing Zebrafish
09:53

Precise Cellular Ablation Approach for Modeling Acute Kidney Injury in Developing Zebrafish

Published on: June 3, 2017

7.1K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.2K

Related Experiment Videos

Last Updated: Jan 25, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.6K
Precise Cellular Ablation Approach for Modeling Acute Kidney Injury in Developing Zebrafish
09:53

Precise Cellular Ablation Approach for Modeling Acute Kidney Injury in Developing Zebrafish

Published on: June 3, 2017

7.1K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.2K

Area of Science:

  • Precision medicine and computational biology.
  • Biomarker discovery and health monitoring.

Background:

  • Precision health requires individual risk assessment, early detection, and preventive strategies.
  • Advances in omics technologies and wearable devices offer new tools for personalized health insights.

Purpose of the Study:

  • To explore deep longitudinal profiling for health discoveries, pathway identification, and behavioral changes.
  • To assess the utility of integrative omics and wearable data in a cohort at risk for type 2 diabetes mellitus.

Main Methods:

  • Prospective longitudinal study of 109 participants at risk for type 2 diabetes mellitus.
  • Quarterly collection of samples for up to 8 years for integrative personalized omics profiling (genome, immunome, transcriptome, proteome, metabolome, microbiome).
  • Inclusion of clinical measures and wearable monitoring data.

Main Results:

  • Over 67 clinically actionable health discoveries were made.
  • Multiple molecular pathways linked to metabolic, cardiovascular, and oncologic conditions were identified.
  • Prediction models for insulin resistance were developed using omics data, potentially replacing traditional tests.

Conclusions:

  • Deep longitudinal profiling yields actionable health discoveries crucial for precision health.
  • Integrative omics and wearable data can inform personalized preventive strategies and behavioral modifications.
  • Study participation motivated participants to implement lifestyle changes, demonstrating the impact on health behaviors.