A/Prof Shuai Li
CEB Unit Head – Breast Cancer
Melbourne School of Population and Global Health
226 Scholarly works
15 Projects
HIGHLIGHTS
2026
Journal article
Risks of non-breast, non-ovarian cancers for BRCA1 and BRCA2 pathogenic variant carriers: a prospective cohort study
DOI: 10.1186/s12916-026-04753-82026
Journal article
Epigenome-wide analysis of DNA-methylation signatures following climate-related disasters
DOI: 10.1186/s12916-026-04868-y2024
Research grants (ARC, NHMRC, MRFF)
Centre of Research Excellence and Expertise in Genetic Epidemiology for Precision Population Health
2023
Journal article
Australian genome-wide association study confirms higher female risk for adult glioma associated with variants in the region of CCDC26
DOI: 10.1093/neuonc/noac2792021
Research grants (ARC, NHMRC, MRFF)
Centre of Research Excellence in Precision Public Health Approaches to Breast Cancer Screening, Early Detection and Mortality Reduction
2020
Research Grant
New Risk Factors for Breast Cancer Based on Digital Mammograms: Determinants, Prediction of Interval Cancers, and Clinical Translation Through Volpara
2018
Journal article
Breast cancer risk associations with digital mammographic density by pixel brightness threshold and mammographic system
DOI: 10.1148/radiol.2017170306
RECENT SCHOLARLY WORKS
2026
Journal article
Epigenetic Markers of Cell Division and Ageing in Relation to Breast Cancer Survival.
DOI: 10.1002/ijc.706182026
Other
Figure S1 from Mammographic Texture versus Conventional Cumulus Measure of Density in Breast Cancer Risk Prediction: A Literature Review
DOI: 10.1158/1055-9965.327134172026
Other
Table S2 from Mammographic Texture versus Conventional Cumulus Measure of Density in Breast Cancer Risk Prediction: A Literature Review
DOI: 10.1158/1055-9965.327134082026
Other
Table S1 from Mammographic Texture versus Conventional Cumulus Measure of Density in Breast Cancer Risk Prediction: A Literature Review
DOI: 10.1158/1055-9965.327134112026
Other
Supplementary Materials from Mammographic Texture versus Conventional Cumulus Measure of Density in Breast Cancer Risk Prediction: A Literature Review
DOI: 10.1158/1055-9965.327134142026
Journal article
AutoCumulus: an automated mammographic density measure created using artificial intelligence.
DOI: 10.1186/s12885-026-16264-z2026
Journal article
Genome-wide analysis highlights epigenetic link to age at menarche
DOI: 10.1093/humrep/deag0192026
Journal article
AI-based BRAIx risk score for the intermediate-term prediction of breast cancer: a population cohort study
DOI: 10.1016/j.landig.2026.100987