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Call for Submissions: JMIR Biomedical Engineering Explores “Sex and Gender in Biomedical Engineering: Advancing Equity in Workforce and Modeling”

May 14, 2026
in Technology and Engineering
Denise Maddox
By Denise Maddox Scienmag Editorial Profile - Mechanical Engineering
Reading Time: 4 mins read
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Call for Submissions: JMIR Biomedical Engineering Explores “Sex and Gender in Biomedical Engineering: Advancing Equity in Workforce and Modeling”

Call for Submissions: JMIR Biomedical Engineering Explores “Sex and Gender in Biomedical Engineering: Advancing Equity in Workforce and Modeling”

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In an era where precision, inclusivity, and equity dominate scientific discourse, JMIR Publications is spearheading a crucial transformation within biomedical engineering. The open-access journal JMIR Biomedical Engineering has announced the launch of an innovative new section dedicated to exploring the intricate interplay between sex, gender, and biomedical engineering design. This bold initiative aims to challenge long-standing assumptions of gender neutrality in technology and modeling, urging researchers to embrace biological and sociocultural nuances that shape health outcomes across diverse populations.

Biomedical engineering stands at the crossroads of biology, technology, and clinical application. Yet, much of its development has historically overlooked critical sex- and gender-based variables that profoundly influence device efficacy, safety, and user experience. The burgeoning new section seeks to address this oversight by advancing research that incorporates sex (biological differences at the chromosomal and molecular levels) and gender (socially constructed roles and behaviors) into foundational and applied engineering work. It is an ambitious call for the field to refine computational models, algorithms, and design protocols to genuinely reflect human diversity.

Central to this initiative is recognizing sex as a vital biological variable influencing physiological parameters, disease progression, and pharmacodynamics, distinctions often blurred in traditional engineering paradigms. Meanwhile, gender’s impact on health technology adoption, usability, and patient interaction underscores the need to untangle complex sociocultural intertwined factors influencing technology performance. By integrating these dimensions, researchers can develop more accurate digital twins, predictive algorithms, and medical devices that deliver safer, more personalized care.

One of the most compelling challenges outlined involves mitigating biases ingrained within biomedical algorithms. Data sets underpinning these systems frequently lack adequate representation of sex-specific physiological traits, resulting in skewed analytics and potentially hazardous clinical decisions. JMIR Biomedical Engineering places significant emphasis on submissions that investigate algorithmic fairness and strive for datasets that better capture biological heterogeneity, thus improving translational validity.

Addressing gender and sex disparities across the technological life cycle—from conceptualization to clinical deployment—is another pivotal focus. The collection encourages in-depth examination of how such gaps manifest in device functionality and health outcomes, especially for marginalized groups. Discovering and bridging these lacunae is key to generating biomedical technologies that uphold both efficacy and inclusivity standards.

The section also invites pioneering research advancing inclusive methodologies in biomedical engineering. Such approaches involve designing studies and experiments that consciously integrate sex- and gender-aware frameworks, ensuring equitable representation and interpretations. By innovating at the research practice level, the discipline can achieve profound paradigm shifts that reverberate throughout device development and clinical application.

Furthermore, digital twin technology—virtual replicas simulating human physiology—stands as a fertile ground for incorporating sex-specific biological variables. Advances in this domain promise to tailor simulations that better predict individual health trajectories and device interactions. By embedding nuanced sex and gender factors, these models can revolutionize personalized medicine and adaptive therapeutic technologies.

Closely linked to modeling efforts, rigorous validation studies probing biomedical models and devices for sex- and gender-based performance differences are vital. This verification process not only safeguards product safety but also guarantees accuracy across diverse populations. It is essential for ensuring that medical technologies do not inadvertently marginalize or disadvantage any group through generalized or biased assumptions.

Wearable sensors and digital health platforms represent a rapidly expanding frontier where sex- and gender-related biological and experiential variations significantly influence data quality and usability. Morphological and physiological differences can alter sensor signal detection, while gendered preferences affect device interaction and adherence. Research dissecting these dynamics will enhance the design and effectiveness of next-generation digital health tools.

Acknowledging the complexity of integrating sex and gender variables into biomedical engineering, the section also supports tutorials and educational articles. These resources aim to equip researchers with pragmatic strategies to embed these critical factors into computational models, study design, data reporting, and publication standards. By fostering widespread knowledge dissemination, JMIR Biomedical Engineering accelerates cultural and methodological transformation in the field.

This strategic endeavor aligns with broader movements within science and technology seeking to demolish bias, amplify diversity, and cultivate innovation grounded in equity. As biomedical engineering continues to evolve, embedding sex- and gender-aware perspectives will be indispensable to unlocking the full potential of health technology. The new section serves as a beacon, encouraging rigorous inquiry and constructive dialogue around these essential dimensions.

For scholars and practitioners eager to contribute, the JMIR Biomedical Engineering platform offers a dynamic, peer-reviewed space indexed in prominent databases such as PubMed and Scopus. The editorial team invites submissions that push boundaries—ranging from fundamental research to translational studies—provided they demonstrate meaningful engagement with sex and gender constructs in engineering practice.

Embracing this inclusive vision signifies a pivotal step toward engineering a future where biomedical innovations equitably serve all individuals, mitigating disparities while enhancing performance and safety. By confronting traditional blind spots and fostering nuanced understanding, this initiative heralds transformative progress in biomedical engineering scholarship and application.

For comprehensive information on submission guidelines, thematic scope, and deadlines, interested researchers are encouraged to visit the official announcement on the JMIR Biomedical Engineering website. This opportunity marks a clarion call to the global biomedical engineering community to redefine the scientific and technological landscape through the lens of sex and gender equity.


News Publication Date: May 14, 2026

Web References:
JMIR Biomedical Engineering Call for Papers
JMIR Publications Homepage

Keywords

Biomedical Engineering, Sex Differences, Gender Studies, Computational Modeling, Medical Technology, Digital Twins, Algorithmic Bias, Wearable Sensors, Digital Health, Inclusive Research, Health Equity, Biomedical Device Safety

Subject of Research: Sex and gender integration in biomedical engineering research and technology development.

Article Title: JMIR Biomedical Engineering launches new section on sex and gender for equitable innovation.

Article References: Original research article

Image Credits: Credit: JMIR Publications. Source: Ilya Lukichev

DOI: Not provided

Keywords: advancing equity in biomedical technology, biological and sociocultural factors in engineering, diversity in biomedical workforce, equity in biomedical engineering modeling, gender considerations in computational modeling, gender impact on health technology, inclusive biomedical engineering design, open-access biomedical engineering research, precision medicine in biomedical engineering, sex and gender differences in biomedical engineering, sex as a biological variable in research, sex-based variables in medical device development

Cite Scienmag News

Denise Maddox. (May 14, 2026). Call for Submissions: JMIR Biomedical Engineering Explores “Sex and Gender in Biomedical Engineering: Advancing Equity in Workforce and Modeling”. Scienmag. https://scienmag.com/call-for-submissions-jmir-biomedical-engineering-explores-sex-and-gender-in-biomedical-engineering-advancing-equity-in-workforce-and-modeling/

Denise Maddox. "Call for Submissions: JMIR Biomedical Engineering Explores “Sex and Gender in Biomedical Engineering: Advancing Equity in Workforce and Modeling”." Scienmag, 14 May 2026, https://scienmag.com/call-for-submissions-jmir-biomedical-engineering-explores-sex-and-gender-in-biomedical-engineering-advancing-equity-in-workforce-and-modeling/. Accessed 4 September 2026.

Denise Maddox. "Call for Submissions: JMIR Biomedical Engineering Explores “Sex and Gender in Biomedical Engineering: Advancing Equity in Workforce and Modeling”." Scienmag. May 14, 2026. https://scienmag.com/call-for-submissions-jmir-biomedical-engineering-explores-sex-and-gender-in-biomedical-engineering-advancing-equity-in-workforce-and-modeling/

Tags: advancing equity in biomedical technologybiological and sociocultural factors in engineeringdiversity in biomedical workforceequity in biomedical engineering modelinggender considerations in computational modelinggender impact on health technologyinclusive biomedical engineering designopen-access biomedical engineering researchprecision medicine in biomedical engineeringsex and gender differences in biomedical engineeringsex as a biological variable in researchsex-based variables in medical device development
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