Research


Cores

Biomedical Data Sets and Services Core

Led by Center Director Donna K. Ginther, the Biomedical Data Sets and Services Core has been established to:

  • Link biomedical, environmental, and health records data to survey data that collects demographic, marital status, family structure, education, and employment data to understand how behavior, environment, and biology combine to influence health outcomes
  • Expand services and expertise beyond federal datasets to encompass all types of data utilized by Research Project Leaders 

The BDSSC assists RPLs with data discovery and procurement for project development, builds analysis datasets, provides statistical analysis for project execution, and expands core productivity to support COBRE stakeholders including RPLs, mentors, new faculty, and other biomedical and social science researchers. Researchers at KU and across our region will have access to the BDSSC as the first data services center in the region, supporting additional biomedical research funding in the ever-advancing field of complex data science. Filling a research resource gap on campus, this center facilitates data-intensive research across the biomedical, behavioral, health, and social sciences to support fundamental research designed to improve health outcomes.

Administrative and Professional Development Core

Led by Center Director Heather Desaire, the Administrative and Professional Development Core is designed to:

  • Build a critical mass of researchers who leverage large biomedical data sets to study and improve the health of women
  • Foster cross-disciplinary collaborations

A multi-pronged approach has been developed to achieve these goals. This includes recruiting talented new faculty, engaging existing faculty with backgrounds in data science or women’s health research, providing training and support for cross-disciplinary research, and supporting a strong cadre of Research Project Leaders. The Engaged Faculty Fellows Program furthers these efforts by providing resources, mentorship, and a collaborative network to drive innovation and excellence in women's health research.

Projects

Black hand over uterus

Biomarker CA125 Immunogenicity in Ovarian Cancer

High-grade serous ovarian cancer affects over 220,000 U.S. women, with recurrence risks. This project aims to enhance CA125 detection by mapping its epitopes on MUC16, focusing on variations in MUC16 proteoforms and racial differences in CA125 levels. Findings could improve diagnostic accuracy and treatment, especially for Black women with lower CA125 levels.
brain model

Estrogen and Cholesterol in Myelin Repair

Women experience higher rates and severity of neurological diseases like multiple sclerosis post-menopause, suggesting estrogen's role in brain health. This project explores how estrogen regulates CNS lipids and promotes myelin repair, focusing on cholesterol metabolism during demyelination and remyelination.

Projects

old and young woman hug

Risk and Protective Factors for Cognitive Function in the Menopause Transition

Over 60% of women report cognitive symptoms during the menopause transition, but few effective treatments are available. These symptoms are bothersome, impair work performance, and may indicate underlying risk for chronic health conditions. Findings will lead to more targeted mechanistic hypotheses of underlying disease risk and inform intervention strategies benefiting cognitive function in the menopause transition.
Elderly woman types on computer

Telemedicine, Caregivers, and Rural Population Health

Rural caregivers, predominantly women, face challenges due to limited access to essential services and increased caregiving responsibilities. This project investigates the impact of increased telemedicine access during COVID-19 on their health and well-being, using electronic health records and big data to discover ways to support rural caregivers and improve healthcare access.
Woman walking in field

Demographic Change and Migration Shifts on Rural Health

Rural women face increasing mortality disparities influenced by demographic shifts and health behaviors. This project uses demographic and health data to analyze these factors over time and across counties ranging in degrees of rurality. It aims to identify effective interventions to improve rural women's health outcomes and longevity.