Event
BIOE Seminar: Nanoparticle delivery to solid tumours
Friday, April 22, 2022
9:00 a.m.-10:00 a.m.
Virtual
Gregg Duncan
gaduncan@umd.edu
Warren Chan
Institute of Biomedical Engineering
University of Toronto
Nanoparticle delivery to solid tumours
This event will be offered in a virtual format. Login details will be sent to current BIOE faculty, affiliates, students, postdocs, and those who have previously asked to subscribe to our seminars listserv. If you do not currently receive our weekly seminars emails but you wish to attend this event, please email Alyssa Tomlinson (awolice@umd.edu).
Speaker Bio
Dr. Chan is currently a professor and head of the Institute of Biomedical Engineering at the University of Toronto. He is the Canadian Research Chair in Nanoengineering. He received his B.S. degree from the University of Illinois in 1996, Ph.D. degree from Indiana University in 2001, and post-doctoral training at the University of California (San Diego). His lab develops nanotechnology for diagnosing and treating cancer and infectious diseases. Some of his awards include NSERC E. W. R. Memorial Steacie Fellowship, Kabiller Young Investigator Award in Nanomedicine (Northwestern University), Rank Prize Fund award in Optoelectronics (England), and Dennis Gabor Award (Hungary). He is currently an Associate Editor of ACS Nano.
Abstract
The delivery of medical agents to a specific diseased tissue or cell is critical for diagnosing and treating patients. Nanomaterials can transport drugs, contrast agents, immunotherapies, and gene editors to diseased sites. However, less than 1% are delivered to solid tumours, impacting their use and clinical translation for cancer applications. In this presentation, I will discuss the challenge of delivering of medical agents and nanoparticles to solid tumours. The seminar will discuss the impact of nanoparticle design and biology on the in vivo transport process. It will finish with a discussion of strategies to overcome the delivery problem with nano-bio interaction studies, machine learning, and computational analysis.
