Biomedical Engineering Society at UT Southwestern Medical Center. Highlighting latest research, students, and outreach at the forefront of biomedicine.
Hi BMES students! Come out for Toys for Tots this next weekend. To sign up, please use the qr code in the image below. We look forward to seeing all of you and doing some good in our community!
ICYMI: We have extended the deadline to submit your abstracts!
Due to strong demand, we are keeping the portal open & the 𝙛𝙞𝙣𝙖𝙡 𝙙𝙚𝙖𝙙𝙡𝙞𝙣𝙚 𝙞𝙨 𝙈𝙤𝙣𝙙𝙖𝙮 𝙈𝙖𝙮 8.
Read the submission guide & submit today: https://t.co/mmKJAIOgXV
#biomedicalengineering#BMES2023
Upcoming defense of Nanomedicine PhD candidate Sean Dilliard, mentored by Dr. Siegwart. Sean's research focuses on understanding the engineering of lipid nanoparticles, the delivery system for COVID-19 mRNA vaccines, to target different tissues in the body for treating disease.
We are excited to announce our #MedPhysMatch results for the medical physics residency program in radiation oncology! We look forward to welcoming Kai Huang (left) and Kai Wang (right) to our @UMMC training program this July. #radonc
Jace Grandinetti, mentored by Dr. Xun Jia (now of Johns Hopkins), matched for Medical Physics Residency at the University of Pennsylvania. A defense preview: We present the development of an MRI system that could enable MR-guidance for preclinical radiation experiments.
Please congratulate Mitzy Cowdin, who has been selected as an awardee of the Ford Foundation Dissertation Fellowship! Mitzy is a 5th year BME PhD candidate conducting research in the Cleaver Lab. Mitzy has a passion for teaching and mentorship. Congratulations on this honor!
Announcing the upcoming defense of Nanomedicine BME PhD candidate Sina Khorsandi, mentored by Dr. Jacques Lux and a member of the TRUST Program. We look forward to his presentation on the application of the microbubble-assisted ultrasound guided immunotherapy of cancer platform.
Announcing the defense of Medical Physics PhD candidate, Zi Yang [co-mentored by Dr. Xuejun Gu (Stanford University) & Dr. Weiguo Lu of the MAIA Lab]. Preview: We present a collection of novel AI techniques for efficient and effective SRS management and FLASH-RT quantification.
Announcing the upcoming defense of Kai Wang, Medical Physics PhD candidate in the MAIA Lab with mentor Dr. Jing Wang. A preview: A comprehensive study on the development of deep learning and radiomics-based models for predicting treatment outcomes in different types of cancer.
Announcing the upcoming defense for Xiao Liang of the MAIA Lab, mentor Dr. Steve Jiang. A preview: In this dissertation, we present our works using AI to tackle the current problems of CBCT-based adaptive radiation therapy workflow, and improve CBCT-based ART workflow.