Improving breast cancer risk prediction using changing patient data over time
Dynamic prediction incorporating time-varying covariates for the onset of breast cancer
['FUNDING_R37'] · WASHINGTON UNIVERSITY · NIH-10870169
This study is working on creating better ways to predict breast cancer risk for women by looking at how personal health factors change over time, so that each woman can get a more tailored and accurate understanding of her risk.
Quick facts
| Phase | ['FUNDING_R37'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | WASHINGTON UNIVERSITY (nih funded) |
| Locations | 1 site (SAINT LOUIS, UNITED STATES) |
| Trial ID | NIH-10870169 on ClinicalTrials.gov |
What this research studies
This research aims to enhance the prediction of breast cancer risk by developing new statistical models that account for how individual risk factors change over time. Unlike traditional models that rely on static data, this approach incorporates time-varying covariates, which reflect the dynamic nature of patient health and risk factors. By analyzing these changing patterns, the research seeks to provide a more personalized and accurate assessment of breast cancer risk for women. The methodology includes innovative algorithms that utilize both supervised and unsupervised features to better understand individual risk trajectories.
Who could benefit from this research
Good fit: Ideal candidates for this research are women at varying risk levels for breast cancer, particularly those with changing health profiles or risk factors over time.
Not a fit: Patients with a confirmed diagnosis of breast cancer or those who do not have any risk factors for breast cancer may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate breast cancer risk assessments, enabling earlier interventions and personalized prevention strategies for women.
How similar studies have performed: Previous research has shown promise in using dynamic models for risk prediction in other areas of oncology, suggesting that this approach may also be effective for breast cancer.
Where this research is happening
SAINT LOUIS, UNITED STATES
- WASHINGTON UNIVERSITY — SAINT LOUIS, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: JIANG, SHU — WASHINGTON UNIVERSITY
- Study coordinator: JIANG, SHU
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions: Breast Cancer, Breast Cancer Risk Factor, Cancer Burden, Cancer Control, Cancer Control Science