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

Crossing Over01:34

Crossing Over

169.6K
Unlike mitosis, meiosis aims for genetic diversity in its creation of haploid gametes. Dividing germ cells first begin this process in prophase I, where each chromosome—replicated in S phase—is now composed of two sister chromatids (identical copies) joined centrally.
The homologous pairs of sister chromosomes—one from the maternal and one from the paternal genome—then begin to align alongside each other lengthwise, matching corresponding DNA positions in a process...
169.6K
Crossing Over01:30

Crossing Over

6.3K
Crossing over is the exchange of genetic information between homologous chromosomes during prophase I of meiosis I. Genetic recombination gives rise to allelic diversity in the newly formed daughter cells. In humans, crossing over produces genetically distinct haploid egg and sperm cells that undergo fertilization to produce unique offspring. Before cell division starts, the germ cell’s chromosome(s) undergo duplication in the S phase of the cell cycle. As the cells enter prophase I,...
6.3K
Sensory Modalities01:15

Sensory Modalities

3.8K
Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
3.8K
Monohybrid Crosses01:20

Monohybrid Crosses

238.8K
Overview
238.8K
Cross-Sectional Research01:50

Cross-Sectional Research

12.4K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
12.4K
Dihybrid Crosses01:18

Dihybrid Crosses

80.9K
Overview
80.9K

You might also read

Related Articles

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

Sort by
Same author

NATURal history of coronary PlaquE on cardiac computed tomography in individuals without MACE or lipid-lowering therapy: NATURE-CTstudy.

Journal of cardiovascular computed tomography·2026
Same author

Synthesis, radiolabelling and preliminary evaluation of [<sup>68</sup>Ga]Ga-DOTA-linked cyanuric chloride-glu-ureido scaffold for PSMA PET imaging.

Molecular diversity·2026
Same author

Locked at Both Ends: A Rare Case of Coexisting Idiopathic Hypertrophic Pyloric Stenosis and Achalasia Cardia in an Infant.

Journal of Indian Association of Pediatric Surgeons·2026
Same author

Kumbh Mela 2025 as a Case Study for Road Safety: A Public Health Model to Reduce RTA-Related Trauma and Deaths in India.

Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine·2026
Same author

Synthesis of [<sup>18</sup>F]rufinamide as a radiotracer for epileptic brain imaging.

RSC advances·2026
Same author

Overcoming the learning curve: a pictorial journey through technical adaptations for thoracoscopic esophageal atresia/tracheoesophageal fistula repair.

Indian journal of thoracic and cardiovascular surgery·2026
Same journal

Learning to Estimate External Forces of Human Motion in Video.

Proceedings of the ... ACM International Conference on Multimedia, with co-located Symposium & Workshops. ACM International Conference on Multimedia·2026
Same journal

Score-Based Image-to-Image Brownian Bridge.

Proceedings of the ... ACM International Conference on Multimedia, with co-located Symposium & Workshops. ACM International Conference on Multimedia·2025
Same journal

Mutual Correlation Attentive Factors in Dyadic Fusion Networks for Speech Emotion Recognition.

Proceedings of the ... ACM International Conference on Multimedia, with co-located Symposium & Workshops. ACM International Conference on Multimedia·2020
Same journal

Human Conversation Analysis Using Attentive Multimodal Networks with Hierarchical Encoder-Decoder.

Proceedings of the ... ACM International Conference on Multimedia, with co-located Symposium & Workshops. ACM International Conference on Multimedia·2020
Same journal

On Shape and the Computability of Emotions.

Proceedings of the ... ACM International Conference on Multimedia, with co-located Symposium & Workshops. ACM International Conference on Multimedia·2019
Same journal

Region-based Activity Recognition Using Conditional GAN.

Proceedings of the ... ACM International Conference on Multimedia, with co-located Symposium & Workshops. ACM International Conference on Multimedia·2018
See all related articles

Related Experiment Video

Updated: Jan 24, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.5K

Cross-Modal Health State Estimation.

Nitish Nag1, Vaibhav Pandey1, Preston J Putzel1

  • 1University of California, Irvine.

Proceedings of the ... ACM International Conference on Multimedia, with Co-Located Symposium & Workshops. ACM International Conference on Multimedia
|May 28, 2019
PubMed
Summary
This summary is machine-generated.

This study integrates personal data from wearables and other sources to assess cardiovascular health. Findings show multi-modal data offers personalized insights for better health management and clinical decisions.

Keywords:
Cross-Modal DataCybernetic HealthHealth InformaticsHealth SituationMultimediaPersonal Health NavigationWearables

More Related Videos

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.7K
A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

7.4K

Related Experiment Videos

Last Updated: Jan 24, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.5K
Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.7K
A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

7.4K

Area of Science:

  • Biomedical Informatics
  • Digital Health
  • Personalized Medicine

Background:

  • Individuals generate unprecedented amounts of personal data from sources like wearables, social media, and geo-spatial information.
  • Current chronic disease management relies on sparse, hospital-based biological metrics, limiting continuous health status understanding.
  • Integrating individual-level data into a cybernetic framework is crucial for perpetual health monitoring.

Purpose of the Study:

  • To fuse diverse user-generated and open-source data streams with biomedical knowledge.
  • To develop quantitative state estimates for cardiovascular health.
  • To demonstrate the utility of multi-modal data for personalized health insights.

Main Methods:

  • Utilized wearable device data to calculate cardiorespiratory fitness (CRF), a key heart disease predictor.
  • Integrated genetic traits, environmental risks, circadian rhythms, and biological metrics from diverse datasets.
  • Applied cross-modal data analysis leveraging established biomedical domain knowledge.

Main Results:

  • Demonstrated the feasibility of fusing multiple data streams for health assessment in 24 subjects.
  • Provided two types of quantitative state estimates for cardiovascular health.
  • Showcased how multi-modal data analysis yields personalized health insights.

Conclusions:

  • Multi-modal data integration offers a powerful approach to understanding dynamic health status.
  • Personalized health insights can enhance recommendation engines and clinical decision-making.
  • This approach supports positive lifestyle changes and proactive health management.