Advancing women's health through equity in quantitative sciences: promoting sex- and gender-based modeling in clinical trials and real-world studies

By
Grammati Sarri
Michelle Hoiseth
June 10, 2026
0 min

Frontiers In Digital Health

Overview

Revise to remove unsupported claims about the importance of integrating sex as a biological variable.

Background

Women's health has historically been marginalized in research, leading to a lack of understanding and treatment options for conditions that disproportionately affect women. The underrepresentation of women in clinical trials has resulted in misdiagnoses and inadequate treatment guidelines. Addressing these disparities is essential for improving women's health outcomes and ensuring equitable healthcare.

Data Highlights

No numerical data available in the source material.

Key Findings

Women's health issues are often overlooked due to biased data and chronic underinvestment in female-focused research.
Conditions like endometriosis and autoimmune diseases remain underdiagnosed and poorly understood.
The integration of sex as a biological variable is essential for generating accurate health evidence.
Regulatory policies have been established to improve women's representation in clinical research, but gaps remain.
Collecting sex-disaggregated data is critical for creating equitable health evidence.

Clinical Implications

Healthcare professionals should advocate for the inclusion of women in clinical trials to ensure that treatment guidelines are based on comprehensive data. Understanding the impact of sex and gender on health outcomes is crucial for providing effective care to female patients.

Conclusion

Enhancing women's health requires a concerted effort to integrate gender-specific considerations into clinical research. Addressing these disparities is vital for improving health outcomes for women.