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

Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Multipotency of Hematopoietic Stem Cells01:19

Multipotency of Hematopoietic Stem Cells

The hematopoietic stem cells or HSCs are multipotent, meaning they can differentiate and give rise to all blood and immune cells. HSCs are maintained in the quiescent stage until an external stimulus initiates their differentiation. The multipotent HSCs exist as two heterogeneous populations, long-term repopulating cells (LTRC) and short-term repopulating cells (STRC). The two HSC populations have different surface markers or receptors and are classified based on quiescence and long-term...
Stem Cell Niche01:26

Stem Cell Niche

The stem cell niche is the dynamic microenvironment where stem cells reside. Inside these niches, the cells may remain undifferentiated, undergo high self-renewal, or become lineage-specific progenitors. Stem cells coexist with other niche cells, such as stromal cells. They also interact closely with the ECM. Cell-cell and cell-matrix communication occur via adhesion molecules or soluble factors that signal the stem cells and determine their fate. Stromal cells also provide survival signals to...

You might also read

Related Articles

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

Sort by
Same author

E-InfertilityTest: Implementing an explainable AI framework for male infertility assessment.

Biochemical and biophysical research communications·2026
Same author

Enzyme-Like Synthetic Cleft for Light-Driven Water-Oxidation Catalysis Via an Oxide Relay Pathway.

Angewandte Chemie (International ed. in English)·2026
Same author

An intronic bidirectional promoter-driven lncRNA (LjPLR) putatively modulates a late nodulin gene during nodulation in Lotus japonicus.

Molecular biology reports·2026
Same author

Injectable, Dual-Cross-Linked, Dynamic Hydrogel for Tissue Separation and Thermal Shielding during Percutaneous Cryoablation.

Journal of vascular and interventional radiology : JVIR·2026
Same author

Ganglioside GM2 induces epithelial-mesenchymal transition (EMT) in cancer cells in a MEK/ERK/Egr1-dependent transcriptional program.

The Journal of biological chemistry·2026
Same author

Secondary Coordination Sphere Effects in Macrocycle-Embedded Mononuclear Ru(bda) Water Oxidation Catalysts.

Inorganic chemistry·2026
Same journal

Artificial intelligence-driven multi-omics analysis of gut-kidney axis in chronic kidney disease.

Progress in molecular biology and translational science·2026
Same journal

Artificial intelligence in multi-omics analysis of heart diseases.

Progress in molecular biology and translational science·2026
Same journal

AI in multi-omics analysis of type 2 diabetes.

Progress in molecular biology and translational science·2026
Same journal

AI in multi-omics analysis in AMR.

Progress in molecular biology and translational science·2026
Same journal

AI in multi-omics analysis of COVID-19 patient data.

Progress in molecular biology and translational science·2026
Same journal

AI in multi-omics analysis of liver diseases.

Progress in molecular biology and translational science·2026
See all related articles

Related Experiment Video

Updated: May 24, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

AI in multi-omics analysis in stem cell research.

Byapti Ghosh1, Gourab Das1, Subhajit Pal2

  • 1Department of Biological Sciences, Unified Academic Campus, Bose Institute, Kolkata, India.

Progress in Molecular Biology and Translational Science
|May 22, 2026
PubMed
Summary
This summary is machine-generated.

Advanced multi-omics and artificial intelligence (AI) integration in stem cell research offers new frontiers in regenerative medicine. This synergy aids in understanding complex tissue repair for improved therapeutic outcomes.

Keywords:
Artificial intelligenceDeep learningMachine learningMulti-omics profileNeural networkRegenerative therapyiPSCs

More Related Videos

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
06:24

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Nuclear Isolation from Cryopreserved In Vitro Derived Blood Cells
04:11

Nuclear Isolation from Cryopreserved In Vitro Derived Blood Cells

Published on: March 15, 2024

Related Experiment Videos

Last Updated: May 24, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
06:24

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Nuclear Isolation from Cryopreserved In Vitro Derived Blood Cells
04:11

Nuclear Isolation from Cryopreserved In Vitro Derived Blood Cells

Published on: March 15, 2024

Area of Science:

  • Regenerative Medicine
  • Stem Cell Biology
  • Bioinformatics

Background:

  • Stem cell research has significantly advanced, revolutionizing regenerative medicine, disease modeling, and drug discovery.
  • Stem cells' potential to generate diverse cell types makes them crucial for tissue regeneration therapies.
  • The
  • omics revolution
  • provides powerful tools for understanding molecular and cellular processes in stem cell research.

Purpose of the Study:

  • To explore the application of advanced multi-omics approaches in regenerative medicine for critical health conditions.
  • To investigate the integration of multi-omics techniques with artificial intelligence (AI) for enhanced understanding of tissue repair.
  • To highlight the potential of AI-driven multi-omics data analysis in stem cell-based regenerative therapy.

Main Methods:

  • Utilizing advanced multi-omics techniques to elucidate cellular, molecular, and inflammatory events in damaged tissues.
  • Integrating multi-omics data with artificial intelligence (AI) for comprehensive analysis.
  • Applying AI as a decision-support tool in stem cell-based regenerative therapy.

Main Results:

  • Multi-omics approaches reveal complex biological processes critical for tissue repair.
  • Integration with AI enhances the ability to tackle challenges in regenerative medicine.
  • AI-driven analysis of multi-omics data shows promise for improving therapeutic outcomes.

Conclusions:

  • The integration of multi-omics and AI is pivotal for advancing stem cell-based regenerative medicine.
  • Careful application of AI in multi-omics data analysis is essential, serving as a clinician support tool.
  • This synergistic approach holds significant promise for addressing critical health conditions through tissue regeneration.