Research led by #StanDOM's @summerhanlab indicates that when it comes to developing secondary primary #LungCancer, lung cancer survivors who have never smoked have the same risk as survivors who have smoked. https://t.co/5SiAD3vbJV
Congratulations to @summerhanlab, who received new, five-year R01 funding from the National Cancer Institute titled "Integrating Multiple Electronic Health Records Systems to Improve Lung Cancer Outcomes." This project aims to develop a shared database for lung cancer.
A new Stanford study concludes that National guidelines for lung cancer screening are less effective for African Americans than for whites. @summerhanlab states, “This is a lost opportunity to detect lung cancers early...Early detection saves lives."
https://t.co/PntTe2cyj2
Findings of this cohort study suggest that risk-based lung cancer screening can reduce racial and ethnic disparities and improve screening performance across races and ethnicities vs the USPSTF 2021 criteria. https://t.co/56NpotBJjk
New from @AEunjiChoi@summerhanlab et al | Risk model-based management for second primary lung cancer among lung cancer survivors through a validated risk prediction model
🔗 https://t.co/yPz0JbmZms
@OncoAlert#OpenAccess#LCSM
Software Application Profile: dynamicLM—a tool for performing dynamic risk prediction using a landmark supermodel for survival data under competing risks
https://t.co/uqWHb6eP3M
The risk of second lung cancer remains as high among never smokers as ever smokers, among survivors of initial lung cancer. Targeted surveillance is needed for lung cancer survivors who never smoked. https://t.co/QMCupFk7z0 @AEunjiChoi@summerhanlab
Dr. Summer Han and her lab are developing and applying novel statistical methods to integrate multiple data sources to create clinical decision tools for predicting disease prognosis and outcomes. #WIMMonth
Learn more about @summerhanlab's research:
https://t.co/cb0aNKcNne
Thankful to have this fantastic team working in my lab, to welcome new students, and to mark the beginning of the new academic year! @AEunjiChoi@julie_t_wu
Had such a great time at JSM 2023 in Toronto! Chaired several sessions where my trainees gave presentations on target trial emulation & dynamic risk prediction modeling! @stanford_qsu@AEunjiChoi
Polygenic risk scores can be used for multi-cancer risk stratification.
Liquid biopsy can be used for multi-cancer early detection.
We explore how these two technologies can come together for multi-cancer screening and early detection. @Nature_NPJ
https://t.co/eMFK9mgwrU
New blog article: Real RCT example where trying to combine Bayesian and frequentist ideas created a mess: https://t.co/npMsJ4HkCg @vandy_biostat @EdgeforScholars #Statistics#clinicaltrials