Medicine and Health Sciences Commons^™

Multiomic And Single-Cell Analysis Of Tumors And Their Immune Microenvironment For Personalized Cancer Therapy, Kartik Singhal

WUSM Theses and Dissertations – All Programs

Precision oncology aims to match cancer treatment to the biology of an individual patient’s tumor. However, tumors that share a diagnosis can differ in their molecular features, cellular composition, clinical course, and response to therapy, making it difficult to determine which treatment will benefit an individual patient. This dissertation integrates genomic, transcriptomic, and single-cell multiomic computational analysis to characterize tumors across their somatic alterations, transcriptional cell states, microenvironment, and the immune response they elicit.

The first study describes a rare case of donor-derived follicular lymphoma following kidney transplantation. Genomic profiling showed that the donor and recipient tumors shared 31 somatic …

In-Hospital Mortality Patterns And Readmissions In Patients With Chronic Obstructive Pulmonary Disease: An Analysis Of The Role Of Pulmonary Hypertension, Saad Afzal Khan, Trishna Parikh, Adishwar Rao, Akriti Agrawal, Aarohi Parikh, Sarah Shin, Maulin Patel, Kha Dinh, Bela Patel, Bindu Akkanti

Faculty, Staff and Student Publications

Chronic obstructive pulmonary disease (COPD) may be complicated by pulmonary hypertension (PH). We aimed to understand the impact of PH on in-hospital mortality and quantify the 30-day readmission rate among patients with COPD. For this cross-sectional study, we used the Nationwide Readmissions Database from 2017-2020 to identify adults ≥18 years with COPD. Patients were stratified according to PH diagnosis. Baseline characteristics between groups were compared using the Pearson chi-square test and two-sample t-test. Predictors of in-hospital mortality were determined using multivariate logistic regression analysis adjusted for demographics and confounders. The 30-day readmission rate and prevalence of PH subgroups by baseline …

Network Pharmacology Of A Decaffeinated Green Coffee–Turmeric Combination: Potential Therapeutic Activity Against Hypertension And Diabetes Mellitus, Feri Eko Hermanto, Mohammad Saifur Rohman, Victor Alvianoes Guterez Hose, Mifetika Lukitasari, Dwi Adi Nugroho, Nashi Widodo, Inggita Kusumastuty

Makara Journal of Science

Decaffeinated green coffee and turmeric are recognized for their protective effects against hypertension (HTN) and diabetes mellitus (DM). Combining them into a functional drink, green coffee and turmeric (GCT), offers potential health benefits for managing these conditions. This study explored the bioactivity of GCT in HTN and DM through network biology, identifying intersecting protein targets and their roles in inflammation and glucose metabolism. Key proteins identified were AKT1, CCL2, CXCL8, IL-1β, and IL18. Molecular docking revealed that GCT compounds, particularly Cafestol, Chlorogenic Acid, Kahweol, Curcumin, and Desmethoxycurcumin, interacted strongly with AKT1 at its allosteric site, potentially inhibiting its activity. However, …

Precision Approaches Improve Community Health, Roger A. Rennekamp, David Buys

Journal of Extension

Recent advances in data science provide Extension practitioners with access to data sorted by zip code, census tract, or neighborhood. Such hyper-local data now allows Extension personnel to assess community needs and assets at a more granular level and focus their work on the people and communities of greatest need. In this article, we introduce an approach we refer to as precision public health. Using such a precision approach to community assessment and, ultimately, programming can save money, increase the likelihood of producing measurable results, and create more manageable workloads for county-based Extension personnel.

Agent-Based Modeling Of Cellular Dynamics In Adoptive Cell Therapies, Yujia Wang

Dissertations and Theses (Open Access)

Adoptive cell therapies (ACT) have shown promising progress in combating cancer, but clinical responses remain heterogeneous. Key determinants, including the functional states of infused cells, tumor–immune interactions, and dosing strategies, are difficult to resolve experimentally in the dynamic and heterogeneous tumor microenvironment, limiting optimization of ACT products and treatment regimens. To address the gap, we developed ABMACT (Agent-Based Model for Adoptive Cell Therapies), a computational framework that reconstruct key cellular functions, interactions, and molecular signatures to recapitulate cell population dynamics associated with differential treatment responses. ABMACT encodes autonomous “virtual cells” using literature-informed rules calibrated with experimental data, enabling simulation of …

Personalizable Metabolic Models To Enable Immune Characterization And Drug Discovery, Joshua Loecker

Department of Biochemistry: Dissertations, Theses, and Student Research

Cellular metabolism is reshaped by disease and physiological state, and genome-scale metabolic networks (GSMNs) offer a systematic way to interrogate this biology and identify therapeutic targets. Building a GSMN from expression data, however, requires a sequence of stages including read processing, normalization and gene-activity classification, multi-omic integration, model reconstruction, simulation, and biological interpretation. These are typically handled by disconnected tools spanning multiple programming languages, file formats, and databases. The resulting reliance on heterogeneous interfaces and manual steps threatens reproducibility. This work develops an ecosystem of computational tools that carry an analysis from raw sequencing reads to mechanistic biological interpretation. First, …

Implementation Study Of Aortagpt, An Ai Decision Support Tool For Heritable Thoracic Aortic Disease, Noah Mathai

Summer Research Program Abstracts

No abstract provided.

Nmda Receptor Subunit Nmr-2 Regulates Pathogen-Induced Immune Responses Via The Nervous System In C. Elegans, Benson Otarigho, Jonathan Lalsiamthara, Alejandro Aballay

Faculty, Staff and Student Publications

Neural control of innate immunity must balance restraint of basal immune activity with rapid activation upon pathogen encounter. Glutamate, the primary excitatory neurotransmitter in the nervous system, has been implicated in several neurological disorders associated with inflammation, suggesting a potential link to immune regulation. However, how glutamatergic signaling contributes to immune balance remains unknown. Here, we demonstrated that the NMDA-type ionotropic glutamate receptor subunit NMR-2, a component of the NMDA receptor complex, acts in the

Nlrp3 Inflammasome: A Link Between Systemic Infection And Alzheimer’S Disease, Tatiana Barichello, Felipe Dal-Pizzol

Faculty, Staff and Student Publications

No abstract provided.

Ldm-Morph: Latent Diffusion Model Guided Deformable Image Registration, Jiong Wu, Tinsu Pan, Kuang Gong

Faculty, Staff and Student Publications

Deformable image registration plays an essential role in various medical image tasks. Existing deep learning-based deformable registration frameworks primarily utilize convolutional neural networks (CNNs) or Transformers to learn features to predict the deformations. However, the lack of semantic information in the learned features limits the registration performance. Furthermore, the similarity metric of the loss function is often evaluated only in the pixel space, which ignores the matching of high-level anatomical features and can lead to deformation folding. To address these issues, in this work, we proposed LDM-Morph, an unsupervised deformable registration algorithm for medical image registration. LDM-Morph integrated features extracted …

Systemic And Metabolic Control Of Liver Regeneration, Lingzhi Hong, Alessandro Di Federico, Bolun Liu, Alissa J Cooper, Joao V Alessi, Phoebe Clark, Waree Rinsurongkawong, Chingyi Young, Hui Li, Kang Qin, Muhammad Aminu, Valentina Santo, Yasir Elamin, Boris Sepesi, Jeff Lewis, Don L Gibbons, Ara A Vaporciyan, J Jack Lee, Xiuning Le, Jia Wu, Sinchita Roy-Chowdhuri, Mark J Routbort, P Andrew Futreal, John V Heymach, Mark M Awad, Adam J Schoenfeld, Jianjun Zhang, Biagio Ricciuti, Lei Deng, Natalie I Vokes

Faculty, Staff and Student Publications

The liver possesses a unique regenerative capacity, driven by mechanisms that extend beyond classical growth factor signaling. Recent studies underscore the importance of metabolic reprogramming, mitochondrial adaptation, and signaling metabolites in promoting tissue injury repair. Dynamic crosstalk between hepatocytes, non-parenchymal cells, and other organs governs the regenerative process. Spatial compartmentalization within the liver and systemic cues from adipose tissue, the pancreas, the gut, the brain, skeletal muscle, and other organs play critical roles in shaping regenerative outcomes. In this review we discuss how the liver's tissue microenvironment and inter-organ communication networks regulate liver regeneration, providing new insights into the complex …

Exploring Csf Microrna Signatures As Diagnostic Biomarkers In Adult-Type Diffuse Gliomas, Maryam Pirhoushiaran, Kamilah Walker-Charles, Tsung-Hung Yao, Satwikreddy Putluri, Nehal Patel, Isabel Wang, Antonio Dono, Angel Bueno, Sophia Nguyen, Ashish P Balar, Jason T Huse, Suprateek Kundu, Yoshua Esquenazi, Chirag B Patel, Sujit S Prabhu, Frederick F Lang, Leomar Y Ballester

Faculty, Staff and Student Publications

Mutations in isocitrate dehydrogenase (IDH) genes, specifically IDH1 and IDH2, are frequently observed in diffuse gliomas (DG) and define distinct molecular subtypes, namely IDH-wildtype and IDH-mutant. Abnormal expression of extracellular vesicle-derived microRNAs (EV-miRNAs) in the cerebrospinal fluid (CSF) of DG patients may serve as minimally invasive diagnostic and prognostic biomarkers. To investigate this potential, we employed miRNA-sequencing (miRNA-seq), quantitative real-time PCR (qRT-PCR), and multivariable logistic regression (MLR) to identify differentially expressed microRNAs (DE-miRNAs) in CSF samples from DG patients. qRT-PCR analysis demonstrated that EV-miR-21-5p effectively differentiated CSF from glioblastoma (GBM) patients versus controls (p = 0.012, AUC = 0.84) and …

Exploring Csf Microrna Signatures As Diagnostic Biomarkers In Adult-Type Diffuse Gliomas, Maryam Pirhoushiaran, Kamilah Walker-Charles, Tsung-Hung Yao, Satwikreddy Putluri, Nehal Patel, Isabel Wang, Antonio Dono, Angel Bueno, Sophia Nguyen, Ashish P Balar, Jason T Huse, Suprateek Kundu, Yoshua Esquenazi, Chirag B Patel, Sujit S Prabhu, Frederick F Lang, Leomar Y Ballester

Faculty, Staff and Student Publications

Mutations in isocitrate dehydrogenase (IDH) genes, specifically IDH1 and IDH2, are frequently observed in diffuse gliomas (DG) and define distinct molecular subtypes, namely IDH-wildtype and IDH-mutant. Abnormal expression of extracellular vesicle-derived microRNAs (EV-miRNAs) in the cerebrospinal fluid (CSF) of DG patients may serve as minimally invasive diagnostic and prognostic biomarkers. To investigate this potential, we employed miRNA-sequencing (miRNA-seq), quantitative real-time PCR (qRT-PCR), and multivariable logistic regression (MLR) to identify differentially expressed microRNAs (DE-miRNAs) in CSF samples from DG patients. qRT-PCR analysis demonstrated that EV-miR-21-5p effectively differentiated CSF from glioblastoma (GBM) patients versus controls (p = 0.012, AUC = 0.84) and …

In Silico Molecular Docking Study Of Antidiabetic Bioactive Compounds From Brotowali (Tinospora Cordifolia) Targeting Glut4 In Type Ii Diabetes Mellitus, Gita Euaggelion Tarigan, Surya Dwira

Indonesian Journal of Medical Chemistry and Bioinformatics

Type 2 diabetes mellitus (T2DM) is a global metabolic disorder characterized by insulin resistance and impaired glucose uptake. Despite the availability of pharmacological therapies, limitations such as adverse effects and high costs highlight the need for alternative therapeutic candidates. Tinospora cordifolia has been widely reported to contain bioactive compounds with antidiabetic potential; however, comparative evaluation of their interaction with glucose transporter type 4 (GLUT4) remains limited.

This study aimed to identify the most promising bioactive compounds from Tinospora cordifolia targeting GLUT4 using an in silico molecular docking approach, followed by pharmacokinetic and toxicity (ADMET) prediction. Molecular docking was performed using …

Ai×Life 2026: Advances In Computational Biology Across Scales For Life & Health Sciences, Suma Mohan S., Devika N. T., Pranavathiyani G.

Conference Proceedings

Book of Abstracts of the International Conference, AIxLife 2026: Advances in Computational Biology Across Scales for Life & Health Sciences, held on 17–18 April 2026, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, INDIA 

About the Conference

Conventional computational biology laid the foundation for biological data analysis through statistical models, algorithms, and curated databases, enabling insights into genes, proteins, and pathways. Today, the integration of artificial intelligence, spanning machine learning, deep learning, and large language models (LLMs) is driving a transformative shift across biological scales, from atomic and molecular interactions to pathways, cellular systems, organisms, and populations.

AI-powered approaches …

Pattern Dynamics And Stochasticity Of Brain Rhythms And Spike Trains In A Tauopathy Mouse Model Of Alzheimer’S Disease, Clarissa M. Hoffman

Dissertations and Theses (Open Access)

Systems neuroscience posits that every aspect of perceived physical reality, every aspect of animal and human behavior, and every cognitive phenomenon emerges from patterns of neuronal activity. While most researchers embrace this idea, there are major difficulties in describing and analyzing these complex neuronal dynamics—spike flows produced by cells ensembles, synchronized extracellular field oscillations, and other patterns—which limits our understanding of how the activity of individual neurons and the whole-animal cognition and behavior might be connected. In particular, we lack the approaches and even the semantics for connecting the individual cell outputs and the integrated results of their activity. Current …

Potential Impact Of Parasites In The Transmission Of Chronic Wasting Disease, Paulina Soto, Rodrigo Morales

Faculty, Staff and Student Publications

No abstract provided.

Corrigendum To 'Risk Factors For Bronchiolitis Obliterans Syndrome After Initial Detection Of Pulmonary Impairment After Hematopoietic Cell Transplantation' [Transplantation And Cellular Therapy 29/3 (2023) 204-204], Mansour Alkhunaizi, Badar Patel, Luis Bueno, Neel Bhan, Tahreem Ahmed, Muhammad H Arain, Rima Saliba, Gabriela Rondon, Burton F Dickey, Lara Bashoura, David E Ost, Liang Li, Shikun Wang, Elizabeth Shpall, Richard E Champlin, Rohtesh Mehta, Uday R Popat, Chitra Hosing, Amin M Alousi, Ajay Sheshadri

Faculty, Staff and Student Publications

No abstract provided.

Growth Hormone Pathway As A Prognostic And Therapeutic Biomarker In Patients With Unresectable Hepatocellular Carcinoma Treated With Radiation Therapy, Joe R Eid, Safa Kaseb, Lianchun Xiao, Ryan Sun, Mahesh Kumar Kannan, Asif Rashid, Hesham M Amin, Eugene J Koay

Faculty, Staff and Student Publications

Purpose: Radiation therapy (RT) has emerged as an effective local therapy option for patients with unresectable hepatocellular carcinoma (HCC) and is associated with improved overall survival (OS). However, some patients still have poor outcomes after RT, and biomarkers are needed to stratify prognostic groups. High circulating growth hormone (GH) levels promote HCC proliferation and survival and are associated with aggressive disease. In this study, we evaluated whether pretreatment GH levels are associated with OS and progression-free survival (PFS) in patients who underwent RT for unresectable HCC.

Methods and materials: Patients undergoing RT for HCC during 2017-2023 were identified from a …

Optimized Ultrasound Imaging Of Phase-Change Nanodroplets, Charles R Dyall, Dmitry Nevozhay, Andy Liu, Trevor M Mitcham, George J Lu, Richard R Bouchard

Faculty, Staff and Student Publications

Phase-change nanodroplets (PCNDs) continue to generate significant research interest due to their potential to extravasate into tissue, to be targeted for molecular imaging and drug delivery, and to undergo an induced phase-change to "activated" microbubbles (MBs) for ultrasound (US) imaging. To accurately quantify molecular markers, however, one assumes a consistent proportion of PCNDs in a region of interest (ROI) are stably activated and imaged. Herein we present a framework for developing a diagnostic sequence that is optimized for PCND activation uniformity, contrast, and acquisition time. To develop this framework, activation was examined at three scales of increasing complexity: single, adjacent, …

Cleft Palate And The Coordination Of Wnt Signaling And Pax9 In Murine Palatogenesis, Landon Wyatt

Honors Theses

Cleft palate is a common craniofacial birth defect that arises when the molecular and morphogenetic events guiding secondary palate formation lose coordination during a narrow developmental window. In mice, successful palatogenesis requires the paired palatal shelves to grow vertically, elevate above the tongue, and fuse at the midline; disruption of any of these steps can result in clefting. Two important regulators of this process are canonical Wnt signaling and the transcription factor Pax9, both of which contribute to normal palatal mesenchymal growth and patterning during early development. This paper first examines whether altered Dkk1/Wnt signaling contributes to the Pax9-null palate …

Reinforcement Learning Improves Llm Accuracy And Reasoning In Disease Classification From Radiology Reports, Yishu Wei, Yi Lin, Adam Flanders, George Shih, Yifan Peng

Department of Radiology Faculty Papers

Accurate disease classification from radiology reports is essential for many applications. While supervised fine-tuning (SFT) of lightweight LLMs improves accuracy, it can degrade reasoning. We propose a two-stage approach: SFT on disease labels followed by Group Relative Policy Optimization (GRPO) to refine predictions by optimizing accuracy and format without reasoning supervision. Across three radiologist-annotated datasets, SFT outperformed baselines and GRPO further improved classification and enhanced reasoning recall and comprehensiveness.

Geographical And Anatomical Microbiome Variation In Invasive Green Iguanas (Iguana Iguana), Amanda A. Diaz

All HCAS Student Capstones, Theses, and Dissertations

The common green iguana (Iguana iguana) was introduced to South Florida in 1965 and has since been an especially pernicious threat both environmentally and economically. This highly invasive species is also expanding in range and populations at an astonishing rate. Understanding how this reptile is able to adapt and thrive in novel environments is of imperative need in order to begin managing their disruptive populations. Notwithstanding their negative impacts and significance, the microbiome of wild populations has not yet been characterized. Here, using 16S ribosomal RNA gene sequencing, this study is the first to characterize the microbiome composition …

A Multidomain Peptide Hydrogel-Liposome Composite For Controlled Release Of A Cyclic Dinucleotide In Oral Cancer, Joseph W R Swain, Andrea H Molina, Gemalene M Sunga, Danielle Chew-Martinez, Neeraja Dharmaraj, Arghadip Dey, Simon Young, Jeffrey D Hartgerink

Faculty, Staff and Student Publications

While immunotherapy is a promising treatment strategy for cancer, the majority of head and neck squamous cell carcinoma (HNSCC) patients treated with single-agent immunotherapy do not respond. Therefore, researchers are investigating combination treatments with immunostimulatory molecules that can maximize anti-tumor responses. Cyclic dinucleotides (CDNs) are STING agonists that hold promise in combination approaches, but they require frequent intratumoral administration when used in both preclinical models of HNSCC and clinical trials. To reduce administration frequency, we have created a peptide hydrogel–liposome composite system, K2-Lip(CDN), for local and prolonged availability of CDN. We investigated the loading limits of cationic liposomes in both …

Detecting Cancer Genes Using Graph Neural Networks, Marvin Masabo Nkaka

Posters - 2026

• Cancer survival prediction is challenging due to the complexity of genomic data and limited samples especially for rarer cancer types. • To address this challenge, we developed an Artificial Neural Network (ANN) model for survival analysis using RNA-sequencing gene expression data from The Cancer Genome Atlas (TCGA). • Moreover, a key concept we investigate was how transfer learning enhanced our model’s performance especially for rarer cancer types difficult to perform accurate survival analysis due to their limited samples.

Neutrophil-Microglia Interaction Drives Motor Dysfunction In A Neuromyelitis Optica Model Induced By Subarachnoid Aqp4-Igg, Fangfang Qi, Vanda A Lennon, Shunyi Zhao, Yong Guo, Husheng Ding, Whitney M Bartley, Claudia F Lucchinetti, Long-Jun Wu

Faculty, Staff and Student Publications

Neutrophils and neutrophil extracellular traps (NETs) contribute to early neuromyelitis optica (NMO) histopathology initiated by IgG targeting astrocytic aquaporin-4 (AQP4) water channels. Yet, the mechanisms underlying neutrophil recruitment and their pathogenic roles in disease progression remain unclear. To investigate molecular-cellular events preceding classical complement cascade activation in a mouse NMO model, we continuously infused, via spinal subarachnoid route, a non-complement-activating mouse monoclonal AQP4-IgG. Parenchymal infiltration of netting neutrophils containing C5a ensued with microglial activation and motor impairment but no blood-brain barrier leakage. Motor impairment and neuronal dysfunction both reversed when AQP4-IgG infusion stopped. Two-photon microscopy and electron microscopy-based reconstructions revealed …

Tumor Flare Reaction With Brentuximab-Vedotin In Mycosis Fungoides, Rishabh Lohray, Seda Purnak, Samruddhi Arkatkar, Madeleine Duvic, Victor Prieto, Auris Huen

Faculty, Staff and Student Publications

No abstract provided.

Axillary Management After Neoadjuvant Endocrine Therapy (Net), Laura Leonard, Min Yi, Emma Wingate, Puneet Singh, Abigail Caudle, Isabelle Bedrosian, Jennifer Litton, Nuhad Ibrahim, Kelly K Hunt

Faculty, Staff and Student Publications

BACKGROUND: In patients with hormone receptor-positive (HR

PATIENTS AND METHODS: We performed a retrospective review of patients with clinical stage I-III, HR

RESULTS: A total of 230 patients were included; 120 (52.2%) were clinically node-negative (cN0), while 110 (47.8%) were clinically node-positive (cN+). In the cN+ group, 7.3% (8/110) had a nodal pathologic complete response (pCR). In total, 76.4% (84/110) in the cN+ group underwent axillary lymph node dissection (ALND) as the initial axillary procedure, and 90.9% (100/110) underwent ALND overall. In total, 98.3% (118/120) with cN0 disease underwent sentinel lymph node dissection (SLND), and 28 (23.7%) had positive nodes. …

Baseline Parp-1 Pet Imaging In Patients With Advanced Solid Tumors With Dna Damage Response Mutations, Tarek Daoud, Jiansong Chen, Peng Wei, Franklin Wong, Timothy A Yap

Faculty, Staff and Student Publications

Purpose: Inhibitors of poly(ADP-ribose) polymerase (PARP), an enzyme with numerous roles in DNA damage response signaling, represent a class of anti-cancer drugs approved for treating solid tumors with defects in the DNA damage response. However, additional methods for identifying patients who would benefit from the use of PARP inhibitors are urgently needed. We evaluated a novel radiotracer, 18F-FluorThanatrace ([18F]-FTT), to noninvasively assess PARP activity with PET/CT before treatment and determine associations between uptake, tumor mutation status, and prior receipt of therapy including PARP inhibitors.

Methods: Fifty-two patients with solid tumors underwent whole-body (skull base to thigh) [18F]-FTT PET/CT scans before …

Gompertz Growth With A Shared Carrying Capacity Optimally Simulates Primary And Metastatic Tumor Growth Dynamics, Pirmin Schlicke, Preethi Korangath, Xiaoxi Pan, Caner Ercan, Kathleen Gabrielson, Yinyin Yuan, Robert Ivkov, Heiko Enderling

Faculty, Staff and Student Publications

Background: Cancer is a systemic disease with most deaths attributed to metastatic burden. Primary and metastatic tumors, albeit at different anatomic locations, are interconnected through multiple biological processes. Pre-clinical and clinical observations of growth acceleration of metastases after surgery, or abscopal effects outside the radiation field are widely reported, yet reliably triggering favorable and avoiding unfavorable systemic responses remains an unmet clinical need. Understanding local and systemic tumor interaction dynamics will help guide future treatments.

Methods: We analyze the data of multiple in vivo tumor models. We formalize the systemic interplay of tumors as mathematical differential equation and calibrate parameters …