Upcoming Speakers | Seminar Archive
Every semester, the Marquette University and Medical College of Wisconsin Joint Department of Biomedical Engineering brings together biomedical engineers from across the United States for a series of speaking engagements describing ongoing research and novel contributions to this dynamic and engaging field.
Seminars will be held at alternating Marquette and MCW campus locations and are open to all students, faculty, and staff from both institutions.
Fall 2024 Graduate Seminar Series
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Shankar Subramaniam, PhD October 4, 2024
Dr. Shankar Subramaniam is the Joan and Irwin Jacobs Endowed Chair in Bioengineering and Systems Biology, Distinguished Professor of Bioengineering, Computer Science & Engineering, Cellular & Molecular Medicine, and Nanoengineering at the University of California in San Deigo, CA.
Learn more about Dr. Subramaniam
Dr. Subramaniam's seminar is held in partnership with MCW's Department of Biophysics
Learn more about MCW's Department of Biophysics
Abstract
How is the Human Brain Reprogrammed in Alzheimer's Disease?
Metrics of cognition such as dementia provide the first clues to neurodegenerative disorders like Alzheimer’s disease. What are the early events that presage the onset of dementia? How is the brain reprogrammed in Alzheimer’s disease? Is there a hope of reversing Alzheimer’s disease? Do other neurodegenerative disease like Parkinson’s and Huntington’s show similar reprogramming? Do mechanisms of reprogramming offer a strategy for drug screening? Can we develop human brain models for AD? This talk will address these issues from molecular and cellular perspectives.
Janette Strasburger, MD October 25, 2024
Dr. Janette Strasburger is a professor in the Department of Pediatrics with the Medical College of Wisconsin and Children's Wisconsin.
Learn more about Dr. Strasburger
Abstract
Near-term Quantum Sensing Technologies in Biomedical Application
Quantum-sensing of tiny magnetic signals for medical imaging is a newly emerging field made possible by advances in Superconducting Quantum Interference Devices (SQUID), and Optically-pumped Magnetometers. This presentation will discuss current and near-term uses for these technologies in the area of brain, cardiac, and muscle recording, and discuss some of the advantages and challenges in this field. Our work in fetal magnetocardiography has shown that by utilizing fMCG where ECG is not possible, we can improve the accuracy of fetal diagnoses, which further impacts the management of high risk pregnancies. Drs Ranjan Dash, PhD and Ronald Wakai, PhD, and graduate students are developing computational models for assessing fetal transplacental drug transfer and using simultaneous ultrasound and fMCG recordings to enhance diagnostic accuracy. Others have studied the fetal brain and maternal uterine contractions. In the adult, MEG has been used to improve localization of certain brain functions prior to neurosurgical tumor removal. Wearable MCG and MEG products are in development, but require smaller and better magnetic shielding to reduce extraneous noise. Objectives of this presentation are 1) to recognize new areas of medical imaging where quantum technologies may play a critical role, 2) to better understand new types of quantum imaging devices, and 3) to understand challenges that may impact this field.
Susan Cronn, NP, DNP November 8, 2024
Dr. Susan Cronn is a nurse practitioner specializing in trauma surgery and serves as the QI lead for the Division of Trauma and Acute Care Surgery at the Medical College of Wisconsin.
Learn more about Dr. Cronn
Seminar Title
Impact of Disparity on Vehicle Crash Injury: Sex Matters
Robert Wujek November 22, 2024
Robert Wujek is a graduate student in the MU-MCW Joint Department of Biomedical Engineering and a member of Dr. Kathleen Schmainda's lab, which focuses on developing MRI techniques to evaluate brain tumor angiogenesis and invasion.
Abstract
iTB Maps: using neural networks to distinguish non-enhancing, infiltrative brain tumor from peritumoral edema based on multi-parametric MRI
Research has shown survival benefits may be gained from supramaximal resection of glioblastoma, i.e. resection of both the contrast enhancing lesion (CEL) and portions of the surrounding non-contrast enhancing, FLAIR hyperintense lesion (NEL) where tumor is known to be present. Moreover, targeting tumor within NEL using focused radiation can improve tumor control while reducing complications. However, there are no clinically accepted imaging biomarkers capable of distinguishing between infiltrative tumor and peritumoral, vasogenic edema within NEL, which impedes treatment optimization. The focus of my work has been the development of a convolutional neural network to classify tissue as tumor or non-tumor for each image voxel within NEL. Multi-parametric MRI datasets are used as inputs with biopsy samples, spatially-matched to imaging, providing the ground truth for the output. The result is a map of infiltrative tumor burden (iTB) within NEL. Here I present results from my work on model development and deployment as well as dataset augmentation considerations in the context of medical imaging.
Seminar Archive
View recently past speakers of the Marquette University and Medical College of Wisconsin Joint Department of Biomedical Engineering Graduate Seminar Series.
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