Duke University · Biomedical EngineeringRandles Hemodynamics Lab
Amanda E Randles · Durham, North Carolina
Research Focus
Dr. Amanda E. Randles' research lab at Duke University focuses on creating advanced models of the cardiovascular system that can predict how individual patients will respond to various treatments over extended periods of time. By integrating machine learning with physics-based simulations, the lab aims to utilize real-time data from wearable sensors to enhance personalized medicine for cardiovascular diseases. Their innovative approach seeks to improve monitoring and treatment planning for patients, moving beyond short-term simulations to provide long-term, individualized hemodynamic insights.
cardiovascular modelingprecision medicinemachine learningwearable sensorshemodynamicsdigital twins3D flow patternsvascular diseases
Research Aims
4AIM 01Develop a methodology combining physics-based simulations with machine learning.
AIM 02Create personalized digital twins to monitor patient hemodynamics in real time.
AIM 03Establish methods for long-term cardiovascular predictions based on wearable data.
AIM 04Investigate how different physiological states affect hemodynamics over time.
Skills the Lab Values
3D modelingmachine learning techniquesdata analysis with Pythonuse of wearable sensor technologypatient-specific simulation developmentcomputational fluid dynamicsstatistical data interpretationbiomedical data visualization