Computational models of blood vessels can be fabricated through 3D printing and ultimately utilized to perform flow experiments in the laboratories. Fluorescent tracer beads are added to the flowing solution to visualize flow behavior across the fluidic device using fluorescent microscopy.

Engineering Solutions For Cardiovascular Diseases
Monday, April 5 - Friday, April 16, 2021 EDT
Online Course
Presented By
The New York Academy of Sciences


Did you know that cardiovascular diseases are the number one cause of death around the world? Interestingly, most of these begin with the uncontrolled formation of blood clots, also known as thrombosis. Thus, in order to avoid clotting complications, it is important to understand all the factors that promote its formation. For instance, can physical factors such as blood vessel geometry, blood flow, and turbulence affect the incidence of vein thrombosis? Questions of this nature will be explored throughout this course by learning about the cardiovascular system and how scientists have devised exciting new ways to study it.
In order to further immerse ourselves into the cardiovascular research field, we will be working with the AutoCAD software in order to generate and compare computational models of healthy and diseased blood vessels. We will appreciate how our computational models can then be used for fluid dynamics simulations as well as for fabrication into actual fluidic devices used in biomedical research labs. These activities will prepare you to tackle biomedical research questions through intelligent design of your very own fluidic device. Unleash your creativity and let’s get ready to solve some cardiovascular problems!
$495/student for this two-week camp
Week 1: April 5-9
Week 2: April 12-16
Online via Zoom. Two hours of in-person teaching time with intermittent group breakout sections Monday through Friday. Students will be assigned work outside of class to be completed independently and in small groups.
Daily Monday through Friday, 4:00-6:00PM EST
Andrés Moya-Rodríguez, PhD Candidate in Biophysical Sciences at the University of Chicago, is a Biophysical Sciences graduate student at the University of Chicago interested in vascular biology, teaching and STEM outreach. He pursued his Chemistry undergraduate studies at the University of Puerto Rico where he collaborated in research projects in the realm of biochemistry, bioremediation and electrophysiology. Upon graduation, Andrés did a post-baccalaureate at Yale University where he conducted research in a virology laboratory. Throughout his academic career, he has been avidly involved in outreach initiatives and served as a research mentor to several high school and undergraduate students. Outside of science, Andrés likes animals, video games, sketching, singing and fitness.
Objectives
- Students will familiarize themselves with the current state of the cardiovascular research field.
- Develop proficiency in AutoCAD software to create blood vessel computational models.
- Understand cardiovascular and biomedical engineering concepts to design fluidic devices intended for biomedical research.
Outcomes
- Identify thrombus and clot formation, atherosclerosis, vein occlusion as questions cardiovascular research is addressing.
- Demonstrate proficiency in AutoCAD by creating blood vessel computational models.
- Demonstrate cardiovascular and biomedical engineering concepts by designing fluidic devices.
Images and Documents
Particle Image Velocimetry (PIV) of the flowing channel within the fluidic device can give us information about flow behavior as well as forces exerted on the channel wall. This provides insights into the forces that cells comprising blood vessels experience under different flow conditions. Ultimately, we can determine what magnitude of forces promote complications, such as thrombosis, as well as the force range that keeps blood vessels healthy.
Computational model of the cephalic vein made using engineering software such as AutoCAD and Solidworks. These models can be used to run flow simulations and better understand how blood flow affects diverse blood vessel geometries. This computational approach can help us better understand cardiovascular disease progression under customizable blood flow conditions.