OHSU Digital Collections (Oregon Health and Science University)
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"The Life of Dr. K. A. J. Mackenzie" by George W. Cottrell
In the spring of 1939, Dr. George Cottrell, graduate of the University of Oregon Medical School (UOMS) and former medical director of the "Crippled Children's Division" (now the Child Development and Rehabilitation Center) at UOMS, presented a detailed life summary of Kenneth A. J. Mackenzie to the school's History Club.
The account traced Mackenzie’s early years in Saskatchewan and highlighted his pivotal role in shaping medical education in the Pacific Northwest. Mackenzie championed the creation of a premier academic medical center in Portland. During his eight-year tenure as dean of UOMS, he spearheaded foundational changes, including the recruitment of a highly qualified faculty, progressive curriculum reform, and the establishment of top-tier facilities. His leadership marked a transformative era in the region’s medical education landscape. This reflection on Mackenzie offers an intimate glimpse of the man behind the legacy, including a wry anecdote in which he joked about amputating a rival’s arm when only a finger was required.</p
Positive childhood experiences and cardiovascular health in U.S. children
This study examined the underlying structure of positive childhood experiences (PCEs) and identified associations between PCEs and cardiovascular health (CVH) indicators in U.S. children ages 6-17 years, and identified whether the association between PCEs and CVH indicators differed by the number of Adverse Childhood Experiences (ACEs) and/or child’s demographics. Finally, we examined the changes in PCEs and CVH indicators over a 5-year period (2018-2022)
Androgen receptor activity tunes effector and memory CD8 T cell responses
Androgen hormones regulate the activity of myriad cells of the immune system and are strong drivers of sex differences in disease susceptibility, yet little is known of the mechanisms by which androgen hormones influence immunity. This study identifies androgen receptor (AR) as a key regulator of CD8 T cell differentiation and function, showing that AR acts as an epigenetic repressor in CD8 T cells, restrains effector expansion during infection, and limits memory protection, thereby providing a mechanistic basis for sex differences in immunity. Using mouse models of infection and single-cell profiling of prostate tumors from patients treated with androgen axis inhibition plus anti-PD-1 therapy, this study demonstrates that AR inhibition enhances effector T cell responses both during infection and in the anti-tumor response. These results position AR as a transcriptional brake on CD8 T cell function, linking sex-biased immunity to therapeutic opportunities in infection, cancer, and immunotherapy
Targeting donor unrestricted T cells for future TB vaccine development
This thesis examines MR1T cells and gamma-delta T cells in early life and how they are shaped by BCG vaccination with the goal of informing how they might be positioned for future TB vaccine developmen
Effects of clear aligner adjuncts on patient experience and aligner efficacy
The objective of this randomized prospective study was to evaluate whether the use of clear aligner adjunct tools (PULSystem®) affected reported pain, aligner wear compliance, subject satisfaction, and aligner tray efficacy during the initial phase of orthodontic treatment
Machine learning for biological inference across spatial, multimodal, and clinical dimensions in precision medicine
This dissertation develops machine learning methods to address key barriers in precision oncology, focusing on spatial biology, multimodal data integration, and clinical outcome prediction. It introduces a spatially informed imputation strategy for multiplex tissue imaging, a low-complexity embedding aggregation framework for integrating diverse biomedical data, and interpretable models to identify predictors of immunotherapy response in melanoma. Together, these approaches improve data quality, enable interpretable integration of high-dimensional data, and support biologically and clinically meaningful inference in cancer research