Washington University in St Louis · Biomedical EngineeringBreast Cancer Risk and Innovation Lab
Aimilia Gastounioti · Saint Louis, Missouri
Research Focus
Dr. Aimilia Gastounioti's lab is focused on improving breast cancer risk assessment, particularly for Black women who are disproportionately affected by the disease. By utilizing digital breast tomosynthesis and advanced deep learning techniques, the lab aims to create robust risk prediction tools that can personalize screening and prevention strategies. This research strives to ensure that risk assessments are more accurate and applicable across diverse populations, ultimately contributing to better health outcomes and reduced mortality rates from breast cancer.
breast cancerrisk assessmentdigital breast tomosynthesisdeep learningBlack womenscreening strategiesmammographyartificial intelligenceclinical validationpersonalized medicine
Research Aims
3AIM 01Develop a DBT-driven breast cancer risk score using deep learning
AIM 02Evaluate the clinical utility of the breast cancer risk prediction tool
AIM 03Create a framework for deploying and disseminating the risk assessment tools
Skills the Lab Values
deep learningdata managementclinical evaluation methodsdigital imaging techniquesstatistical analysismachine learningbioinformaticsrisk modelingdata collectionresearch dissemination
Output against the department
Publications98bottom 17% of dept.495th of 595
this lab
most publishedleast published
Citations1.8kbottom 12% of dept.526th of 595
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.