Electronic health records (EHRs) provide a voluminous amount of data for research. However, potential biases threaten the internal and external validity of observational [...]

This dissertation presents a structure-informed deep learning framework for predicting protein ubiquitination sites using AlphaFold2-derived 3D structural features and gr [...]

Currently, diverse scientific evidence evaluation tools, terms, and guidelines exist, but they are fragmented and inconsistently tied to foundational theory. This paper p [...]

This study examined whether wearable-derived autonomic function metrics (WOMAFs) could help predict risk for Type 2 Diabetes and liver fibrosis due to MASLD. While WOMAFs [...]

We developed a workflow for quantitative microbiome profiling to quantify bacterial abundance using a known mock microbial dilution series.

In 2023, a series of templates were designed for the Inland Northwest Hospitalist teams based on multidisciplinary feedback. The analysis of the hospitalist practice bef [...]

This capstone examines why predictive AI-enabled clinical decision support tools continue to face resistance at the bedside and how that hesitation impacts patients’ conf [...]

This work reviews the technical, clinical and ethical complexities related to use of genomic data to provide clinical informaticists a framework to evaluate the utility a [...]

A review of how technology, provider, interaction and therapeutic modality affect the effectiveness of iCBT in treating depression. Studies reviewed are conducted after t [...]

Qualitative interviews were used to assess how culture was evaluated and modified during a merger of a multi-specialty partnership. Subgroup analysis showed differing co [...]