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

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

5.5K
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,...
5.5K

You might also read

Related Articles

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

Sort by
Same author

NK cells mediate preventive efficacy of intravenous BCG against lung metastasis in mice.

Cancer gene therapy·2025
Same author

Intravenous administration of BCG in mice promotes natural killer and T cell-mediated antitumor immunity in the lung.

Nature communications·2023
Same author

Pulmonary BCG induces lung-resident macrophage activation and confers long-term protection against tuberculosis.

Science immunology·2021
Same author

[Women who are left behind: the impact of international migration on the process of seeking health care].

Salud publica de Mexico·2008
Same journal

Exploring potential strategies to enhance memory and cognition in aging mice.

F1000Research·2026
Same journal

Construction an Implicit Block Multi-Steps Approach for Solving Sixth-Order Fractional Differential Equations.

F1000Research·2026
Same journal

Kansei Engineering in the Evolving Service Sector: A Decade of Insights.

F1000Research·2026
Same journal

A Safety-First Mindset:  Role of Patient Safety Culture in Enhancing Healthcare Workers' Emotional Intelligence.

F1000Research·2026
Same journal

Decoding Decisions: Personality-Interest Motivational Sequences as Predictors of Career Paths.

F1000Research·2026
Same journal

Beyond the Transparent Barrier: A Domain Visualization and Integrative Review of Contemporary Research on Gender-Based Professional Stasis.

F1000Research·2026
See all related articles

Related Experiment Video

Updated: Jun 12, 2025

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments
07:46

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

Published on: April 30, 2021

4.7K

Female Models in AI and the Fight Against COVID-19.

Claudia Guerrero1, Santiago Mazuelas2

  • 1Basque Center for Applied Mathematics, Bilbao, 480009, Spain.

F1000Research
|September 19, 2024
PubMed
Summary
This summary is machine-generated.

Increasing women

Keywords:
AIAI4FA COVID-19COVID-19STEMWomen

More Related Videos

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

516
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

695

Related Experiment Videos

Last Updated: Jun 12, 2025

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments
07:46

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

Published on: April 30, 2021

4.7K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

516
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

695

Area of Science:

  • Focuses on gender dynamics within Science, Technology, Engineering, and Mathematics (STEM), specifically Artificial Intelligence (AI).
  • Examines the representation of women in AI research and its historical trends across different disciplines.

Background:

  • Persistent gender imbalance is a well-documented issue in STEM and AI fields.
  • Underrepresentation of women in AI contributes to a lack of diverse perspectives and hinders innovation.
  • Challenges such as the Marie Curie complex, survivorship bias, and impostor syndrome disproportionately affect women in STEM.

Purpose of the Study:

  • To highlight the critical need for increased visibility and recognition of women researchers in AI.
  • To analyze the evolution of women's participation in STEM and AI over time.
  • To identify and discuss the root causes of gender imbalance in AI.

Main Methods:

  • Review of existing literature and statistics on gender ratios in STEM and AI.
  • Analysis of participation rates of women in leading AI conferences.
  • Case studies of prominent female researchers and their contributions, particularly in AI for COVID-19 research.

Main Results:

  • Significant gender disparity persists in AI, with notable differences across various disciplines.
  • Lack of female role models and specific psychological challenges contribute to the underrepresentation of women.
  • Active participation of women in conferences and initiatives like AI4FA COVID-19 can foster more balanced representation.

Conclusions:

  • Enhancing the visibility and recognition of women researchers is crucial for attracting and retaining talent in AI.
  • Addressing systemic issues and promoting inclusive environments are essential for achieving gender equity in AI.
  • Showcasing successful female researchers and their work can inspire future generations and combat gender bias.