Each developmental lineage that gives rise to a complete organism is created through a unique network of regulatory interactions. While reverse engineering each of these [...]

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

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.

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 [...]

This dissertation evaluates how the decision-making regarding blood transfusion is done in trauma care and what variables are used. Then the variables discovered in the f [...]

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 [...]

Patient stratification is essential for addressing breast cancer's inter- and intra-heterogeneity. While the PAM50 classifier is widely regarded to be the gold standard f [...]

Here we evaluated the accuracy of several freely available software packages to correct for variable gene copy numbers in microbiome profiling using the 16S rRNA gene. We [...]

The work presented in this dissertation focuses on the development of robust deep learning models to predict in-vitro cancer drug responses, with utility in precision onc [...]