BMES at UTSW
@BMESatUTSW
Followers
172
Following
69
Media
37
Statuses
141
Biomedical Engineering Society at UT Southwestern Medical Center. Highlighting latest research, students, and outreach at the forefront of biomedicine.
Joined August 2020
BME students - Come grab some coffee and cookies with us before WIPS on January 16th. ☕️☕️🍪
0
3
5
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!
0
0
1
Come join BMES for FREE 🤩 lunch and learn Tuesday, November 21, from 1-2pm. Please RSVP by filling out the qr code. See y'all there!
0
1
1
Hello all! We will be having a Halloween gathering before BME WIPS on October 31 @ 11am. Stop by to grab some spooky coffee and cookies! 🍪☕️🐈⬛
0
0
0
RT @LHBioinf_UTSW: We had a blast hosting @UTSWNews Summer Scholars at our ice cream social last Friday! 🥳.Hopefully, we gave them some goo….
0
9
0
Looking forward to meeting the new BME students this month! 😎🏝️
0
2
4
RT @BMESociety: ICYMI: We have extended the deadline to submit your abstracts!. Due to strong demand, we are keeping the portal open & the….
0
8
0
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.
0
1
0
UTSW BME PhD candidate, Kai Wang, has matched at the University of Maryland for Medical Physics Residency! Congratulations Kai!.@woakawoaka1.
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
0
0
5
Congratulations!.
Congratulations to our five Biomedical Engineering Program (medical physics track) graduates on their matches!
0
1
5
UTSW BME PhD candidate, Zi Yang, has matched at Stanford University! Congratulations! @UtswBmeProgram.
Radiation oncology would like to welcome the 2023 Med Phys matches. Zi Yang and Lewei Zhao will begin their training in July. Welcome to the Stanford family, we look forward to meeting you in person!. #matchday #matchday2023 #radiationoncology #stanfordmedicine #residency
0
0
3
UTSW BME PhD candidate, Xiao Liang, has matched at UTSW for Medical Physics Residency! Congratulations!.
0
1
6
UTSW BME PhD candidate, Jace Grandinetti, has matched at UPenn! Congratulations! @UtswBmeProgram.
Happy Match Day! Excited to soon welcome the UPenn RadOnc Medical Physics Residency Class of 2025! Congratulations, Jace, Odalis, Ahmad, and Melissa! .#radiation, #radiationtherapy, #radiationoncology, #radonc, #radiationtreatment, #medphys, #cyberknife, #protontherapy
0
1
2
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.
0
0
3
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!
0
3
21
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.
0
2
2
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.
0
0
2
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.
0
2
2
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.
0
1
5