We propose a summer clinical immersion program at the Weill Medical College of Cornell University that brings Biomedical Engineering (BME) PhD students from Ithaca Engineering College Campus to New York City Medical College Campus for dedicated intensive clinical exposure in the summer between their first and second year of graduate training. Each student will take bioethics lectures, shadow clinical practitioners and participate in clinical related research under the direction of a clinician mentor. This clinical summer immersion is designed to connect BME to healthcare and society and to steer and enhance students' research interests towards medicine. It will immediately impact their PhD thesis research by adding a medical conscience and influence their long term career towards improving healthcare.

Public Health Relevance

We propose to connect Biomedical Engineering Students' laboratory work with healthcare and help them give their discoveries the best chance to benefit clinical medicine by immersing them in a major medical center to shadow medical practitioners and participate in clinical research. When BME students see patients' suffering, they appreciate the urgency and importance of developing medical technology solutions to healthcare problems; when students watch in person their clinician mentor diagnosing and treating patients, students appreciate the utility of medical technology in medicine; when students see the limitations of the patients and the clinical environment, they develop a perspective on what kinds of technology solutions can be clinically workable; when students participate in clinical research, they appreciate the impact of medical technology.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
NRSA Short -Term Research Training (T35)
Project #
5T35EB006732-15
Application #
10114281
Study Section
Special Emphasis Panel (ZEB1)
Program Officer
Erim, Zeynep
Project Start
2006-09-30
Project End
2021-12-31
Budget Start
2021-01-01
Budget End
2021-12-31
Support Year
15
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Weill Medical College of Cornell University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
060217502
City
New York
State
NY
Country
United States
Zip Code
10065
Bernstein, Jaime L; Cohen, Benjamin P; Lin, Alexandra et al. (2018) Tissue Engineering Auricular Cartilage Using Late Passage Human Auricular Chondrocytes. Ann Plast Surg 80:S168-S173
Gupta, A; Al-Dasuqi, K; Xia, F et al. (2017) The Use of Noncontrast Quantitative MRI to Detect Gadolinium-Enhancing Multiple Sclerosis Brain Lesions: A Systematic Review and Meta-Analysis. AJNR Am J Neuroradiol 38:1317-1322
Morrison, Kerry A; Cohen, Benjamin P; Asanbe, Ope et al. (2016) Optimizing cell sourcing for clinical translation of tissue engineered ears. Biofabrication 9:015004
Cohen, Benjamin Peter; Hooper, Rachel C; Puetzer, Jennifer L et al. (2016) Long-Term Morphological and Microarchitectural Stability of Tissue-Engineered, Patient-Specific Auricles In Vivo. Tissue Eng Part A 22:461-8
Pei, Mengchao; Nguyen, Thanh D; Thimmappa, Nanda D et al. (2015) Algorithm for fast monoexponential fitting based on Auto-Regression on Linear Operations (ARLO) of data. Magn Reson Med 73:843-50
Hudson, Katherine D; Mozia, Robert I; Bonassar, Lawrence J (2015) Dose-dependent response of tissue-engineered intervertebral discs to dynamic unconfined compressive loading. Tissue Eng Part A 21:564-72
Wisnieff, Cynthia; Liu, Tian; Spincemaille, Pascal et al. (2013) Magnetic susceptibility anisotropy: cylindrical symmetry from macroscopically ordered anisotropic molecules and accuracy of MRI measurements using few orientations. Neuroimage 70:363-76
Liu, Jing; Liu, Tian; de Rochefort, Ludovic et al. (2012) Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. Neuroimage 59:2560-8
Liu, Tian; Spincemaille, Pascal; de Rochefort, Ludovic et al. (2010) Unambiguous identification of superparamagnetic iron oxide particles through quantitative susceptibility mapping of the nonlinear response to magnetic fields. Magn Reson Imaging 28:1383-9