基本信息
浏览量:4
职业迁徙
个人简介
Dr Julia Steinberg’s programme of research leverages large-scale genetic, genomic, and epidemiological data to gain insights into human health and reduce the burden of disease. She leads a team of four researchers within the Research Methods Streams.
Julia has gained extensive experience in genetics and genomics, and is now working on the opportunities and challenges of integrating genomics into cancer control. Her research focus areas include the development and validation of genomic cancer risk prediction tools to enable risk-tailored cancer screening and early detection; and estimating the number of cancer patients with specific pan-tumour biomarkers (MSI-H/dMMR and NTRK gene fusions), who could potentially benefit from emerging targeted treatments.
To help integrate genomics into clinical practice, Julia is involved in a clinical implementation trial to improve testing for Lynch syndrome, an inherited predisposition to cancer.
In addition, to inform health system planning and prioritisation of interventions, Julia also uses statistical models to forecast the future burden ofcancer, andcollaborates on analyses of high-dimensional linked healthcare data to determine patterns and costs of cancer treatment, and pathways to cancer diagnosis.She also contributes her expertise to multiple national and international interdisciplinary collaborations.
Julia has gained extensive experience in genetics and genomics, and is now working on the opportunities and challenges of integrating genomics into cancer control. Her research focus areas include the development and validation of genomic cancer risk prediction tools to enable risk-tailored cancer screening and early detection; and estimating the number of cancer patients with specific pan-tumour biomarkers (MSI-H/dMMR and NTRK gene fusions), who could potentially benefit from emerging targeted treatments.
To help integrate genomics into clinical practice, Julia is involved in a clinical implementation trial to improve testing for Lynch syndrome, an inherited predisposition to cancer.
In addition, to inform health system planning and prioritisation of interventions, Julia also uses statistical models to forecast the future burden ofcancer, andcollaborates on analyses of high-dimensional linked healthcare data to determine patterns and costs of cancer treatment, and pathways to cancer diagnosis.She also contributes her expertise to multiple national and international interdisciplinary collaborations.
研究兴趣
论文共 158 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Campbell systematic reviewsno. 2 (2024): e1410-e1410
APPLIED HEALTH ECONOMICS AND HEALTH POLICYpp.1-14, (2024)
The Medical journal of Australiano. 2 (2024): 94-102
Campbell systematic reviewsno. 2 (2024): e1410-e1410
American Journal of Obstetrics and Gynecology (2024)
Richa Shah,Ching Ee Loo, Nader Mounir Hanna,Suzanne Hughes,Allini Mafra da Costa, Hanna Fink,Ethna McFerran, Montse Garcia,Suryakanta Acharya, Oliver Langselius,Clara Julia Frick, Jean Niyigaba,
Journal of Cancer Policy (2024): 100486-100486
Cynthia C Harper,Jennifer Yarger,Christina Mangurian,Kristine Hopkins,Irene Rossetto,Sarah Elmes,Hannah K Hecht, Audrey Sanchez, Rita Hernandez,Mitra Shokat,Julia R Steinberg
Journal of women's health (2002)no. 7 (2024): 870-878
JAMAno. 4 (2024): 289-291
加载更多
作者统计
#Papers: 161
#Citation: 3744
H-Index: 30
G-Index: 59
Sociability: 7
Diversity: 0
Activity: 3
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn