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

Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

7.5K
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
7.5K
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

4.3K
4.3K
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

6.8K
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
6.8K
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

2.6K
2.6K
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

12.2K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
12.2K
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

6.4K
6.4K

You might also read

Related Articles

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

Sort by
Same author

A comparison of Fast Healthcare Interoperability Resources and Observational Medical Mutcomes Partnership electronic health record data within the All of Us Research Program.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Biological aging and generational shifts in early-onset cancer risk.

Nature medicine·2026
Same author

Co-occurring clonal hematopoiesis exhibits strong selection and high leukemia risk.

Nature communications·2026
Same author

One Size Fits All? Comparing Foundation and Task-specific Models for Retinal Fluid Segmentation.

medRxiv : the preprint server for health sciences·2026
Same author

Multimodal prediction of visual improvement in diabetic macular edema using real-world electronic health records and optical coherence tomography images.

medRxiv : the preprint server for health sciences·2026
Same author

Transcription factor collaboration enables precise T cell state engineering.

bioRxiv : the preprint server for biology·2026
Same journal

Oral Regimens for AML Make Strides.

Cancer discovery·2026
Same journal

Tumor microbial burden drives immune responses through regulation of Interferon signaling.

Cancer discovery·2026
Same journal

Spatial multi-omics implicate the interaction between Tpex and B cells in tertiary lymphoid structures after neoadjuvant therapy.

Cancer discovery·2026
Same journal

RNA-Triggered Chromatin Shredding Hits Cancer's Hardest Targets.

Cancer discovery·2026
Same journal

Deconvolving SARS-CoV-2 mRNA vaccine impact on immunotherapy-related survival.

Cancer discovery·2026
Same journal

Targeting KRAS codon 13 mutations using direct combination approaches in non-small cell lung cancer.

Cancer discovery·2026
See all related articles
  1. Home
  3. Toward Ai-powered Cancer Etiology Research.
  1. Home
  3. Toward Ai-powered Cancer Etiology Research.

Related Experiment Video

Author Spotlight: Transmitochondrial Cybrid Generation Using Cancer Cell Lines
07:49

Author Spotlight: Transmitochondrial Cybrid Generation Using Cancer Cell Lines

Published on: March 17, 2023

3.4K

Toward AI-Powered Cancer Etiology Research.

Mengmeng Ji1,2, Linying Zhang3, Marinka Zitnik4

  • 1Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri.

Cancer Discovery
|April 13, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Artificial intelligence (AI) and multimodal data advance cancer etiology research. An AI-powered workflow integrating data and causal inference can speed up the discovery of cancer causes and prevention strategies.

More Related Videos

A Preclinical Murine Model of Hepatic Metastases
06:51

A Preclinical Murine Model of Hepatic Metastases

Published on: September 27, 2014

30.9K
A Mouse Model to Investigate the Role of Cancer-Associated Fibroblasts in Tumor Growth
06:35

A Mouse Model to Investigate the Role of Cancer-Associated Fibroblasts in Tumor Growth

Published on: December 22, 2020

5.2K

Related Experiment Videos

Author Spotlight: Transmitochondrial Cybrid Generation Using Cancer Cell Lines
07:49

Author Spotlight: Transmitochondrial Cybrid Generation Using Cancer Cell Lines

Published on: March 17, 2023

3.4K
A Preclinical Murine Model of Hepatic Metastases
06:51

A Preclinical Murine Model of Hepatic Metastases

Published on: September 27, 2014

30.9K
A Mouse Model to Investigate the Role of Cancer-Associated Fibroblasts in Tumor Growth
06:35

A Mouse Model to Investigate the Role of Cancer-Associated Fibroblasts in Tumor Growth

Published on: December 22, 2020

5.2K

Area of Science:

  • Epidemiology
  • Bioinformatics
  • Artificial Intelligence

Background:

  • Multimodal longitudinal data and AI offer new avenues for cancer research.
  • Understanding cancer causes and prevention requires advanced analytical approaches.

Purpose of the Study:

  • To propose an AI-powered discovery workflow for cancer etiology research.
  • To accelerate the identification of cancer causes and biological states for prevention.

Main Methods:

  • Integrating an interoperable epidemiologic data ecosystem.
  • Utilizing causal inference frameworks within an AI-powered workflow.

Main Results:

  • The proposed workflow can expedite the discovery of cancer etiological factors.
  • It facilitates the identification of converging biological states relevant to cancer prevention.

    • Conclusions:

    • AI and integrated data ecosystems are crucial for advancing cancer etiology research.
    • This approach holds promise for developing effective cancer prevention strategies.