We Stand in Solidarity Against Racism
The Department of Bioengineering stands in solidarity with our students, staff and faculty against social injustice and acts of racism. We are shocked and saddened by the recent, brutal deaths of George Floyd, Ahmaud Arbery, Breonna Taylor, Nina Pop, Rayshard Brooks and others. Like many members of our community, we are frustrated that these deaths are only the most recent manifestations of long-standing racial inequality in this country.
The Department supports the call to action made by the Bourns College of Engineering.
• We acknowledge that systemic racism permeates and poisons all levels of academia.
• We affirm that the Department has zero tolerance for racism, institutional bias or acts of violence against Black members of our community.
• We are committed to supporting Black students and combating the bias and inequity they face.
• We are committed to critically examining our recruitment and retention efforts to better support Black students, faculty and staff.
We would also like to take this moment to recognize the essential contributions made every day by Black students, faculty and staff. They are part of the Bioengineering family, and the department would not be as strong today without their efforts.
UCR Bioengineering Professor Bahman Anvari and University of Texas MD Anderson Cancer Center School of Medicine Professor Vikas Kundra received a $300,000 grant from the NSF to investigate the transformative potential of dual imaging modality using magnetic resonance (MR) and fluorescence for early detection, staging, and guided-resection of ovarian tumor implants.
The dual imaging modality method used is based on an innovative liposomal nanoparticle system that contains gadolinium (Gd), and a new brominated cyanine dye (BrCy106) as the respective MR and optical contrast agents. The goal of the researchers is to develop both early detection and localization of small ovarian tumors prior to surgery by MR imaging (MRI), followed by near infrared flourescience imaging (NIRDFI) at surgery to aide staging and guide surgical removal of all tumors which cannot otherwise be visualized.
The research team will optimize the formulation of the nanoparticle system for maximum relaxivity as well as fluorescence quantum yield by experimenting with various concentrations of Gd and BrCy106. The feasibility of the optimized nanoparticles for MRI and NIRFI will be evaluated with mice with ovarian cancer cell implantations to mimic early stage tumors and late stage disease.