Life Sciences Commons^™

Building Public Health Data Dashboards: Tutorial Playbook, Elwin Wu, Raymond Balise, Benjamin Katz, Daniel R. Harris, Matthew Bullard, Naleef Fareed, Marc Larochelle, Jennifer Villani

Institute for Biomedical Informatics Faculty Publications

Public health data dashboards have substantial potential to improve transparency, understanding, and decision-making at multiple levels, from individuals to public health practitioners and policymakers. However, creating effective dashboards presents many challenges. In this case-based tutorial on public health dashboard development, we share lessons learned from our experience developing data dashboards for the HEALing Communities Study (HCS), a National Institutes of Health (NIH)–funded, community-engaged intervention to deploy evidence-based practices to reduce opioid overdose deaths in 67 communities across 4 states. We present key decision points dashboard teams must address, along with the major considerations and trade-offs that shaped our approach. First, …

Trustworthy Multimodal Ai For Medical Imaging: Enhancing Diagnosis, Reasoning, And Human-Agent Interaction In Extended Reality, Jai Prakash Veerla

Computer Science and Engineering Dissertations

The transition from traditional microscopy to digital pathology has digitized diagnostic data, yet clinical workflows remain constrained by two-dimensional screens and passive, opaque analysis tools that fail to capture the spatial complexity of biological systems. While Foundation Models now promise to reason across histology and genomics, a critical disconnect persists between the richness of this data and the limited cognitive bandwidth of clinicians, who currently lack the immersive interfaces and trustworthy agents necessary to utilize it effectively. This dissertation presents a unified framework for "Embodied Agentic AI," establishing a pipeline that augments physician capabilities through immersive visualization, robust security, and …

Test-Retest Apparent Diffusion Coefficient Reproducibility In Head And Neck Cancer Using A 15-T Mr-Linac, Brigid A Mcdonald, Dina El-Habashy, Renjie He, Sam Mulder, Sarah Mirbahaeddin, Abdallah S R Mohamed, Sara Ahmed, Yao Ding, Jihong Wang, Stephen Y Lai, Alex Dresner, John Christodouleas, Clifton D Fuller

Faculty, Staff and Student Publications

Purpose

To evaluate the reproducibility of apparent diffusion coefficient (ADC) measurements in head and neck squamous cell carcinoma (HNSCC) using a 1.5-T MR-linac (MRI-guided linear accelerator) system.

Materials and Methods

In this retrospective study, conducted between February 2021 and January 2024, patients with HNSCC lesions underwent echo-planar imaging diffusion-weighted MRI on a 1.5-T MR-linac system at two time points before the start of radiation therapy. Mean and median ADC values and volumes were measured for each lesion. Absolute and percent reproducibility coefficients (RCs) were calculated. Linear regression analyses and F tests were performed to determine whether the lesion volume or …

Supplemental Bibliographic Details. From 2001 Mars Odyssey To Earth’S Climate Crisis: Integrating Gamma Spectroscopy, Martian Soil Simulants, And Plant Genomes For Agroecology, Anchored In Sri Lanka’S Mars-Context Serpentinites, Suniti Karunatillake, Maheshi Dassanayake, Carlos Gary Bicas

Planetary Science Lab

Bibliographic details follow to supplement hyperlinked citations in the multinational GANGOTRI-supporting project conceived by Karunatillake, Dassanayake, and Gary-Bicas

Detection And Characterization Of Cancer Using Cfdna Fragmentomic Analysis, Guneet Bhogal

Master's Projects

Cell-free DNA (cfDNA) fragmentomics has emerged as a promising non-invasive approach for detecting and characterizing cancer by analyzing DNA fragmentation patterns. These fragment patterns are unique and can be used to distinguish between tumor and healthy DNA. This paper uses machine learning models to detect cancer by evaluating Shannon entropy of fragment lengths at the first coding exon 1 regions and correlating them to targeted cancer genes. This approach was applied to two datasets consisting of samples with prostate, breast, and lung cancers. Our results indicated that exon 1 fragmentation entropy captures biologically relevant differences in cancer-specific chromatin organization and …

Combining Crispr And Nanoasv To Uncover The Rare Bacterial Communities Of The Human Oral Microbiome, Gilma Ruth Sevilla Alvarez

Master's Projects

Studying the oral microbiome is vital because its health implications are not contained to the mouth. Cariogenic bacteria cause tooth demineralization and oral microbes that translocate to extra-oral organ systems are linked to conditions like Alzheimer’s disease, heart disease, diabetes, and cancer. Some of these pathogens belong to the most abundant phyla in the oral cavity: Bacillota, Pseudomonadota, Bacteroidota, Actinomycetota, Spirochaetota, and Fusobacteriota, which together comprise 94% of the oral microbiome. This project uses CRISPR-Cas9 to deplete sequences from highly abundant phyla and the Eubacteria domain, enriching the remaining 6% of rarer taxa. Paired with NanoASV for single-nucleotide resolution, this …

Analysis Of Alternative Oxidase In Non-Angiosperm Plants, Anissa M. Francis

Theses and Dissertations (Comprehensive)

Alternative oxidase (AOX) is a mitochondrial terminal oxidase that provides an alternative pathway for electron transport, allowing plants to maintain respiratory flexibility under environmental stress conditions. While AOX has been extensively studied in angiosperms (flowering plants), little is known about its distribution and conservation in non-angiosperms. Based on gaps identified in the literature, this thesis investigated the distribution of AOX across non-angiosperm plant lineages. Although AOX is present in many green algae and is therefore considered to be an ancient protein that originated before the existence of non-angiosperm plants, it remains unclear whether the protein is uniformly distributed across these …

Evops: Evolutionary Patch Selection In The Embedding Space Of Whole Slide Images, Saya Hashemian

Theses and Dissertations (Comprehensive)

Computational pathology increasingly relies on the analysis of Whole-Slide Images (WSIs), which capture tissue specimens at gigapixel resolution. Because a single slide is far too large to process directly, the

prevailing paradigm decomposes each WSI into thousands of small patches and encodes them as high- dimensional feature embeddings using deep learning backbones. While effective, this paradigm carries a

substantial cost: the resulting collections of patch embeddings are computationally expensive to store and process, and they are frequently dominated by redundant, homogeneous, or otherwise uninformative tissue regions that dilute the diagnostic signal. Existing patch selection methods largely depend on heuristic or …

Evaluation And Enhancement Of Suspected Opioid Overdose Definitions In Emergency Medical Services Data Using Machine Learning With Natural Language Processing, Peter Rock, Svetla Slavova, Sharon L. Walsh, Julia Martin, Daniel R. Harris

Institute for Biomedical Informatics Faculty Publications

Background: Fatal and non-fatal drug overdoses have evolved into a critical public health crisis, with over a 50% increase in the rate of fatal drug overdose since 2019. Emergency Medical Services (EMS) data has advantages over traditional emergency department data, including timeliness and captured non-transport encounters. However, there is no consensus EMS definition for suspected opioid overdose (SOO), and currently implemented knowledge-based (KB) definition may miss ambiguous cases. Machine learning with natural language processing (ML-NLP) has the potential to enhance SOO identification.

Methods: Secondary data originated from an oversampled dataset of 2,327 weighted encounters from Kentucky State EMS data (2018–2022). …

The Role Of Tumor Microenvironment In Glioblastoma Multiforme(Gbm) Therapeutic Resistance, Kwesi E. Taylor

Master's Theses or Doctor of Nursing Practice

Despite significant advances in cancer research and treatment, Glioblastoma multiforme (GBM) remains one of the most difficult cancers to treat effectively, with minimal improvement in long-term survival rates over the past few decades. This is largely attributed to tumor heterogeneity and the ability of tumor cells to develop adaptive resistance mechanisms supported by the tumor microenvironment (TME). Although the TME is recognized as a key contributor to tumor progression and therapeutic resistance, the underlying molecular pathways and regulatory genes remain incompletely understood. This study investigated the role of the tumor microenvironment in GBM therapeutic resistance using a bioinformatics approach. Single-cell …

Design And Advancement Of Analytical Frameworks For In Vivo Single-Photon Calcium Imaging To Characterize Temporal- And Treatment-Dependent Neural Adaptations To Opioid Exposure And Withdrawal In The Medial Prefrontal Cortex, Alexia R. Alsum Dr.

Theses and Dissertations--Pharmacy

Despite the availability of several approved medications for opioid use disorder (OUD), it remains a significant public health concern characterized by persistent neurobiological adaptations that drive relapse and impede successful recovery. The medial prefrontal cortex (mPFC), a region critical for executive control and decision-making, undergoes pronounced functional changes during chronic opioid exposure and withdrawal, yet the cellular mechanisms underlying these adaptations remain poorly understood. This dissertation aims to investigate longitudinal alterations in mPFC neural activity across opioid exposure and withdrawal using in vivo single-photon calcium imaging and newly developed computational frameworks.

Following standard preprocessing to extract and normalize calcium traces, …

Expanding The Role Of Muscle Stem Cell Fusion In Muscle Under Hypertrophic Stimulus, Jensen Goh Zhong Sheng

Theses and Dissertations--Physiology

Muscle stem cells (MuSCs) are a unique stem cell population that can activate in response to both injury and growth stimuli. Studies on muscle regeneration have shown MuSC activation follows a uniform progression through proliferation, differentiation, and fusion. Therefore, to determine whether MuSC replication is a prerequisite for differentiation under hypertrophic stimulus, I used a lineage-tracking mouse model (Pax7^rtTA; TRE-H2B-GFP) to label MuSC nuclei and simultaneously tracked DNA synthesis via EdU incorporation. This dual-labeling approach allowed us to not only distinguish MuSC-derived nuclei but also demarcate which MuSC had proliferated prior to fusion. I then employed a mechanical …

Equid Major Histocompatibility Complex (Mhc) Evolution & Genome Organization, Lauren C. Johnson

Theses and Dissertations--Veterinary Science

The evolution of modern horses has a well-documented fossil record and has long been of interest to the genetics community. Although non-caballine equids (e.g. zebras, donkeys, and asses) can hybridize with horses, the resulting offspring are typically infertile. Despite these reproductive barriers, genomic analyses reveal regions of high sequence similarity among equid species. This dissertation investigates the role of historical introgression in the evolution of modern Equus species. The first chapter re-evaluates earlier findings derived from a limited horse population and a single reference genome. The variants of the identified regions were pushed through Ensembl’s Variant Effect Predictor to assess …

Systematics Of Disk-Winged Bats (Thyroptera), Courtney L. Klumpp

Capstone Showcase

This thesis investigates the evolutionary relationships among disk-winged bats in the genus Thyroptera, a small group of Neotropical bats known for the adhesive suction disks on their wings and feet that allow them to roost inside tightly rolled leaves. The distinctive morphology and behavior of these bats have not been extensively documented, and their phylogenetic relationships remain only partially resolved. The goal of this research is to better understand how these species are related to one another and to determine whether the five recognized species of Thyroptera form a single monophyletic group. To address this question, morphological and genetic …

Adversarial Robustness In Biomedical Time-Series Models, Rohan Tiwari

Bioengineering Theses

This study investigates adversarial vulnerabilities in deep learning models for biomedical time-series classification across two clinically important modalities: electrocardiography (ECG) and electroencephalography (EEG). Using the MIT-BIH Arrhythmia and CHB-MIT seizure datasets, I evaluate time-domain attacks (FGSM, PGD), Fourier-domain constrained attacks, and learned spectral perturbations designed to reveal modality-specific sensitivity patterns. Across both tasks, a consistent trend emerges low-frequency components (0–5 Hz) constitute a dominant axis of adversarial vulnerability, with perturbations in this range producing the steepest degradation in classification performance. In ECG models, protecting the physiologically relevant QRS band (5–20 Hz) significantly improves robustness, whereas EEG models remain highly sensitive …

Data From: Complete Mitochondrial Genomes Of The Spring Pygmy Sunfish (Elassoma Alabamae), Kayla M. Fast, David Lee Pounders, Mayah P. Peterson, Michael W. Sandel

Research Data

The Spring Pygmy Sunfish, Elassoma alabamae (Mayden, 1993), is a small species of sunfish (Centrarchiformes) endemic to tributaries to the middle Tennessee River in north Alabama. Elassoma alabamae is the most geographically restricted member of Elassoma and the only species found above the fall line. This species was twice considered extinct and was listed under the Endangered Species Act (ESA) as threatened in 2013. To date, surveys for this species have been limited to traditional invasive methods using dipnets and seines. In order to reduce impacts on sensitive populations, we sequenced the mitochondrial genome with the intent of developing a …

Exploring The Interplay Of Operational Conditions, Microbial Communities, And Water Quality In Drinking Water Ozone-Biofiltration, Kara Yvonne Cunningham

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ensuring reliable access to safe drinking water is a growing global challenge as water utilities face variable source water quality driven by population growth, land‑use change, and climate change impacts. To address these challenges, utilities are implementing advanced treatment technologies designed to improve reliability under variable source water conditions. Ozone-biofiltration has emerged as a treatment approach that can reduce a wide range of natural and anthropogenic contaminants. However, despite its increased use, there is limited insight into the biological processes shaping filter function or how they respond to operational and environmental changes. Advances in molecular microbiology and high-throughput sequencing now …

Comparison Of The Biodiversity Of Culturable Yeast From Four Different Habitats, Frank V. Addeo

All Master's Theses

Yeasts are ubiquitous unicellular fungi that play critical roles in decomposition, nutrient cycling, and fermentation processes across diverse ecosystems. Despite their ecological and biotechnological importance, the diversity and distribution of wild yeast populations in many temperate regions remain poorly characterized. This study evaluated how classifier thresholds influence species assignment and functional inference from internal transcribed spacer 2 (ITS2) Sanger sequences of cultured yeasts collected from diverse habitats in central Washington. The project aimed to assess the stability of taxonomic calls across classifier settings and to illustrate how methodological decisions shape downstream ecological conclusions. Samples from each habitat were enriched under …

Exploring The Application Of Wastewater Monitoring To Determine The Prevalence And Diversity Of Influenza On The Campus Of West Virginia University, Lakyn Renee Sanders

Graduate Theses, Dissertations, and Problem Reports (ETD)

Influenza viruses (IV) affect populations globally, with the World Health Organization (WHO) estimating that IV are responsible for an estimated 3-5 million infections and 290,000 – 650,000 deaths annually^1–3. More specifically, the 2019-2020 IV season is associated with an estimated 38 million illnesses and 22,000 deaths in the United States alone⁴. IV are rapidly spread between individuals through direct contact with infected individuals, contaminated surfaces, or aerosolized virus particles². Traditional IV infection monitoring relies on clinical screening of patients presenting influenza-like symptoms, commonly through the use of multi-target panel tests such as the BioFire …

Multi-Omics Analysis Of Immune-Metabolic Adaptation To Direct-Fed Microbial Supplementation In Newly Weaned Beef Steers, Adekunle Odunayo Ajiboye

Graduate Theses, Dissertations, and Problem Reports (ETD)

Immune and metabolic disruption during weaning represents a major challenge to health and productivity in beef cattle. This dissertation tested the hypothesis that supplementation with multi-strain direct-fed microbials (DFMs) modulates immune regulation and metabolic pathways associated with adaptation to weaning stress. To address this, whole-blood transcriptomics and plasma metabolomics were used to evaluate molecular and metabolic responses in newly weaned beef steers during the receiving period. Transcriptomic analysis identified differential expressions of genes associated with immune signaling and inflammatory regulation, indicating modulation of immune-related pathways without changes in growth performance. Metabolomic analysis revealed alterations in circulating metabolites related to amino …

Genetics Of Mycangial Development And Host Colonization Within The Ambrosia Symbiosis, Mckeon James Laws

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ambrosia beetles, a polyphyletic group of weevils, utilize pouch-like structures at various locations on the body to transport for their sole food source, their fungal partner. Ambrosia fungi are known to originate from multiple unrelated fungal lineages with no consensus of traits required to become a fungal cultivar. While the biology and ecology of both partners is in many cases well understood, the genetic underpinnings of this fascinating mutualism remain a mystery. The aim of this dissertation is to add to the understanding of the ambrosia symbiosis by providing insights into its molecular and genetic underpinnings through RNA sequencing data, …

Studying The Mechanism For Ricin-Induced Growth Suppression, Daniel Judge

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study focuses on ribosome-inactivating proteins (RIPs), a class of potent toxins that includes ricin, α-sarcin, and shiga toxin, which irreversibly damage large subunit rRNA. Although the catalytic activity of ricin toxin A chain (RTA) is well characterized, the precise mechanisms linking ribosome damage to altered cellular morphology remain poorly understood. In this study, we engineered a tetracycline-regulatable expression system to express RTA in Saccharomyces cerevisiae. We characterized the effects of RTA expression on yeast growth, viability, and reproductive potential. We demonstrated that our expression system produced rapid and robust RTA expression and ribosome depurination within less than one …

Cogram: A Computational Pipeline For Genome Assembly And Reconstruction Using Graph Neural Networks, William Coggins

College of Graduate Studies: Theses & Dissertations

Genome assembly — the reconstruction of a complete DNA sequence from short, overlapping reads — remains a fundamental challenge in computational biology. A central difficulty is distinguishing true genomic overlaps from spurious connections arising from repetitive sequences, a task that traditional assemblers address through hand-tuned heuristic rules applied to de Bruijn or overlap graphs. This thesis introduces COGRAM (Coggins–Ramasamy Assembly Method), a genome assembly pipeline that reframes sequence reconstruction as an edge classification task on a k-mer overlap graph, replacing heuristic graph cleaning with a learned model.

COGRAM constructs a directed overlap graph from raw sequencing reads using a k-mer …

Hybridization And Introgression In Marine Invertebrates: Population Genomics Of Phymactis Papillosa And Asterias Sea Stars, Christopher J. Dookie

Dissertations and Theses

Hybridization and introgression are evolutionary significant processes in marine invertebrates (Sanford & Kelly,2011) yet genome-wide investigations of gene flow in these taxa remain limited relative to vertebrate systems (Marchi et al., 2021). This thesis presents genomic analyses of hybridization and introgression in two marine invertebrates occupying contrasting oceanographic settings and characterized by contrasting genomic datasets: restriction-site associated DNA sequencing (RADseq) SNP data for the eastern Pacific sea anemone Phymactis papillosa and whole genome sequencing (WGS) data for the North Atlantic sea stars Asterias rubens and Asterias forbesi. For each system, I applied coalescent-based species tree inference using CASTER (Zhang …

Integration Of Whole Genome Sequence And Rna-Sequencing Data For Disease-Specific Phenotype Prediction, Leiliani M. Clark

Theses and Dissertations

Breast cancer is a heterogeneous disease driven by complex genomic and transcriptomic alterations, making accurate phenotype prediction a challenging task. Recent advances in genomic foundation models and representation learning provide new opportunities to extract biologically meaningful features directly from sequencing data. The objective of this study was to develop and evaluate a multimodal framework integrating whole genome sequence (WGS) and RNA sequencing (RNA-Seq) embeddings for breast cancer classification. DNABERT-2, a DNA foundation model, was evaluated for its ability to generate genomic representations from The Cancer Genome Atlas breast cancer (TCGA-BRCA) WGS data, and the impact of downstream fine-tuning on embedding …

Identifying Rna Splicing Changes During Alcohol Withdrawal Using An Optimized Rna-Seq Analysis Pipeline, Yasaswi Veera, Luana Martins De Carvalho, Amy Lasek

UROP Posters

Alcohol use disorder (AUD) causes long-lasting changes in brain gene expression and RNA splicing, particularly in the ventral hippocampus. This study analyzes RNA-Seq data from rats exposed to chronic alcohol and withdrawal to identify transcript-level and splicing alterations. An optimized RNA-Seq pipeline using STAR, FeatureCounts, edgeR, and WGCNA improved efficiency by 25-40% while maintaining consistency across 25 datasets. Results reveal changes in neural signaling and stress-response pathways associated with withdrawal. This work provides both biological insight into AUD and a reproducible computational framework for transcriptomic analysis.

Reconsidering The Definition Of Triple-Negative Breast Cancer In The Immune Checkpoint Inhibitor Era: An Optimal Cut-Off Value For Hormone Receptor Percentage Of Her2-Negative Invasive Breast Cancer, Takeo Fujii, Toshiaki Iwase, Yu Shen, Jami Fukui, Naoto T Ueno

Faculty, Staff and Student Publications

The optimal cut-off values of estrogen receptor (ER) and progesterone receptor (PgR) expression to define the positivity of ER and PgR have been under discussion for over a decade but remain controversial. The American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) and the St. Gallen International Expert Consensus recommended that breast cancers with ≥1% of ER or PgR expression should be considered hormone receptor (HR)-positive tumors but ER/PR expression of 1% to 10% should be reported as HR-low positive; however, among HER2-negative disease, data on the overall benefit of adjuvant endocrine therapies for patients with HR-low positive disease is …

From Theory To Ecosystems: Exploring Biodiversity And Ecosystem-Function In Pitcher Plant (Darlingtonia Californica) Microbial Communities, Gavin Sutter

Cal Poly Humboldt theses and projects

The relationship between biodiversity and ecosystem-function (BEF) has been a central focus of ecological research for the last three decades, yet the role of space in shaping BEF relationships remains relatively unknown. Research has shown that community diversity and composition can strongly influence productivity, nutrient cycling, and decomposition, but much of this work treats communities as spatially isolated, leaving open how dispersal and other spatial processes shape BEF at broader scales. To begin addressing this gap, I used microbial communities inhabiting Darlingtonia californica pitcher plant leaves to evaluate how spatial organization and successional change shape biodiversity and ecosystem-functioning. I quantified …

A Multi-Omic Approach For Understanding The Individual Roles Of Atf4 And Atf3 Upon Induction Of Different Branches Of The Integrated Stress Response, Elianna T. Cruz González

Electronic Theses & Dissertations (2024 - present)

The integrated stress response (ISR) is a critical cellular pathway that coordinates adaptation to various stressors, including endoplasmic reticulum (ER) stress, amino acid (AA) starvation, heme deficiency, and viral infection. Central to this pathway are the transcription factors ATF4 and its downstream target ATF3, which regulate gene expression programs that influence cell survival, metabolism, and immune responses. While previous studies have identified ATF3 as an antiviral factor during Zika virus (ZIKV) infection, the broader relationship between ATF3 and ATF4 across multiple branches of the ISR remains incompletely understood.

In this study, I employed multi-omic approaches to characterize the roles of …

Stem Cell-Derived Developmental Models For Translational Evaluation Of Disease And Therapy, Maria B. Paredes-Espinosa

Electronic Theses & Dissertations (2024 - present)

Human development as well as congenital and adult diseases emerge from coordinated interactions among multiple cell types, regulatory programs, and tissue compartments that remain largely unresolved. Conventional simple lineage-restricted in vitro systems poorly capture this complexity. My dissertation uses human stem cell-derived developmental models to study human cardiac morphogenesis and heart diseases and application of a networked neuron platform to explore senescence-associated neurodegeneration impact on Alzheimer’s neurons.

Elongating multi-lineage organized cardiac (EMLOC) gastruloids are a synthetic embryology model that co-generates contractile cardiomyocyte populations alongside mesenchymal, endothelial, epicardial-like, neural crest-associated, and neuronal cells within a shared in vitro developmental environment. Single-cell …