Digital Commons Network^™

Genui: Customizing And Improving User Interfaces In Real-Time With Generative Ai, Ursula Parker

Theses

MOTIVATION: Users must conform to the interfaces they are given, which are designed for a generalized user base rather than individual workflows or preferences. Existing UI customizations are often limited to fixed options predetermined by developers, restricting meaningful user control. Advances in generative AI introduce the possibility of modifying the underlying code of a production system that defines interfaces, enabling more flexible and targeted adaptations. However, the feasibility, scalability, and usability of such user-driven customization remain open questions. GOAL: The goal of this work is to help people customize their user interfaces, by investigating how they can linguistically specify the …

Existing Buildings Against Climate Zone Shifts: Analysis Of The Resilience Of Existing Buildings In Changing Climate Zones, Adriana Rodriguez

Theses

This thesis investigates how climate zone shifts affect the hygrothermal performance and durability of existing building wall assemblies designed under previous International Energy Conservation Code (IECC) requirements. As global climate change continues to alter temperature, humidity, and extreme weather patterns, building codes and climate classifications are increasingly challenged to keep pace with current and future environmental conditions. The research focuses on whether 2×6 wood-framed wall assemblies designed under the 2018 IECC remain resilient under updated climate zone classifications and future climate scenarios. A comparative analysis of four U.S. counties—Davidson (TN), Garfield (OK), Allegany (MD), and Marion (IN)—was conducted based on …

Dark Current And Persistence In Hgcdte-On-Si Infrared Detectors, Lazar Buntic

Theses

This thesis investigates the performance of Raytheon’s mercury-cadmium-telluride-on-silicon (MCT-on-Si) infrared detector arrays, with particular emphasis on the impact of the heteroepitaxial silicon growth process on dark current and persistence characteristics. Infrared detectors have been the cornerstone of astronomical discovery for the past four decades and remain essential for current and future flagship observatories, including the James Webb Space Telescope and the Nancy Grace Roman Space Telescope. Traditionally, the highest-performance HgCdTe (MCT) arrays are grown on lattice-matched cadmium-zinc-telluride (CZT) substrates, which are costly and limited in size. To enable low-cost, large-format arrays, Raytheon developed a process for growth of MCT on …

The Quality Assurance Machine – A Software Quality Assurance Architecture For Ml-Enabled Systems, Shane E. Downing

All-Inclusive List of Electronic Theses and Dissertations

This dissertation evaluates whether a reusable assurance architecture, the Quality Assurance Machine (QAM), can provide effective product and process quality assurance for ML-enabled software platforms. The QAM is a system-level SQA architecture that turns plans and policies into versioned configurations, executes them in controlled environments, and produces preserved run evidence that supports traceability, auditability, and controlled change. The study follows Design Science Research and evaluates the instantiated artifact using eight assurance requirements (AR1–AR8) synthesized from standards-based guidance, including IEEE 730 and ISO/IEC/IEEE 15026. A four-year longitudinal evaluation combines two methods. First, operational evidence from routine regression and release-validation runs, defect …

Miserly Thinking: Understanding The Factors Shaping Public Support Towards Project Wolbachia In Singapore, Shirley S. Ho, Agnes S. F. Chuah, Fiona J. W. Goh, Nova Mengxia Huang, Mengxue Qu, Hye Kyung Kim, Sonny Rosenthal

Research Collection College of Integrative Studies

Project Wolbachia is a vector control method that releases male Wolbachia-infected Aedes mosquitoes to curb dengue transmission in Singapore. While research has primarily focused on its efficacy, few studies have examined public opinion. This study draws upon the cognitive miser model and scientific literacy model to examine the factors shaping public support for Project Wolbachia. A nationally representative door-to-door survey was conducted in Singapore (N = 1,000) using multi-stage stratified random sampling. Our findings revealed that while knowledge about Project Wolbachia explains public support, laypeople may often rely on cognitive shortcuts, such as value predispositions, media attention, and pre-existing perceptions, …

Antidistillation Sampling For Classification Models, Khawaja Abaid Ullah

Theses

Knowledge distillation enables adversaries to replicate the functionality of proprietary machine learning models by querying their APIs and training surrogate student models on the returned soft-label distributions. Antidistillation Sampling (ADS), recently proposed for large language models, perturbs the output distribution of a teacher model at inference time to degrade the quality of the resulting distilled model while preserving utility for legitimate users. We adapt ADS to the supervised classification setting and identify a structural obstacle to its direct transfer: the high-confidence, near-one-hot output distributions characteristic of well-trained classifiers leave insufficient probability mass on non-target classes for the additive penalty to …

Biohybrid Robotic Jellyfish For Swimming-Enhanced Vertical Ocean Profiling, Kelsi M. Rutledge, Sean Colin, John H. Costello, Noa Yoder, Simon R. Anuszczyk, Kelly R. Sutherland, Brad L. Gemmell, John O. Dabiri

Arts & Sciences Faculty Publications

Ocean monitoring is essential for understanding climate change and marine ecosystem dynamics, yet achieving comprehensive global coverage remains a challenge in oceanography. Current technologies face limitations in cost, power, hardware, and depth capacity that restrict widespread monitoring capabilities. Here we show that biohybrid robotic jellyfish (Aurelia aurita) can serve as autonomous vertical ocean profilers by integrating microcontrollers with positively buoyant sensor payloads, achieving controlled vertical-profiling capabilities. Laboratory experiments demonstrated repeatable up–down trajectories, quantified force balance limits, and identified predictable, size-dependent descent swimming speeds. Field deployments in Massachusetts coastal waters and the open ocean off the Florida Keys demonstrated field operation …

Enhancing Traffic Safety Through Ai-Driven, Privacy-Preserving, And Secure Impaired Driving Detection Systems, Razan Alsulieman

Dissertations

Drunk driving remains a major threat to road safety worldwide, contributing significantly to traffic injuries and fatalities each year. Traditional detection approaches are largely reactive and vehicle-centric, relying on in-vehicle sensors, breathalyzers, or post-incident enforcement. These methods often depend on driver cooperation, intrusive hardware installations, or limited monitoring environments, restricting their scalability and effectiveness in large transportation systems. At the same time, modern cities increasingly deploy roadside cameras, surveillance networks, and drone- based monitoring systems, creating new opportunities for proactive intoxication detection at the infrastructure level. However, leveraging such external monitoring introduces challenges related to secure data collection, reliable AI-based …

Evaluation Of Radar-Derived Polarimetric Precipitation Estimates For Extreme Rain Events Using A Dense Network Of Rain Gauges, Bong Chul Seo, Witold F. Krajewski, James A. Smith, Alexander V. Ryzhkov

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The study evaluates radar-based quantitative precipitation estimations (QPEs) for 10 extreme rain events that occurred between 2013 and 2019 in the Kansas City metropolitan area, United States. These precipitation estimates were derived at hourly and approximately 0.5-km scales using two polarimetric QPE algorithms}one based on specific attenuation (A) and the other on specific differential phase (KDP)} for the study area covered by two overlapping radars in Topeka, Kansas, and Kansas City, Missouri. The polarimetric QPE assessment for extreme rain events was motivated by improved flood forecasting and precipitation frequency analysis. The analysis utilizes ground reference observations from a dense network …

Place, Democracy, Law, And The Necessity Of Local News, Erin C. Carroll

Georgetown Law Faculty Publications and Other Works

In 2025, the painter Amy Sherald pulled her show American Sublime from the Smithsonian after the museum considered removing a painting of a transgender Statue of Liberty to avoid angering President Trump. The Baltimore Museum of Art stepped in, and it was important that it did. American Sublime needs to be seen in person. It comprises dozens of portraits of Black Americans—a farmer, a bicyclist, a balloon-holder, a child on a playground slide. The portraits are dignified, beautiful, warm, and alluring. They are, in a word, human.

In the gallery, the paintings were hung low on the walls to increase …

Mechanisms Of Synergy Between Nanosecond Pulsed Electric Field (Nspef) And Cold Atmospheric Pressure Plasma Discharge (Cap) In Pancreatic Cancer: The Role Of Ros-Mediated Oxidative Stress And Apoptosis, Zobia Minhas

Biomedical Sciences Theses & Dissertations

Pancreatic ductal adenocarcinoma is a highly lethal malignancy characterized by poor prognosis and resistance to conventional therapies. Novel treatment strategies are needed to overcome this resistance. Non-thermal physical modalities, including nanosecond pulsed electric field (nsPEF) and cold atmospheric pressure plasma discharge (CAP), have emerged as potential anticancer approaches; however, the mechanisms underlying their combined effects remain unclear.

This study evaluated whether nsPEF enhances CAP-induced cytotoxicity and investigated the associated molecular mechanisms using the murine Pan02 pancreatic cancer cell line. Cell viability was assessed by WST-1 metabolic activity assays and electric cell–substrate impedance sensing (ECIS). Intracellular reactive oxygen species (ROS) were …

Llms-Based Text-To-Sql For Geospatial Information Retrieval, Temitayo Olamilekan Ogunsusi

All Theses

Text-to-SQL aims to translate natural language questions into SQL queries that can be executed on databases, enabling non-expert users to retrieve information without learning formal query languages. Early Text-to-SQL systems relied on rule-based methods and semantic parsers, while recent advances in deep learning have achieved strong performance by jointly encoding user questions and database schemas. However, these approaches typically require large, annotated datasets and specific model architectures. With the emergence of large language models (LLMs), such as GPT-4, Llama, and Gemma, Text-to-SQL systems can leverage powerful natural language understanding capabilities to generate SQL queries using zero-shot or few-shot prompting. Despite …

Multi-Task Growing Interpretable Neural Network For Multi-Target Symbolic Regression, Hussein Rajabu

All Theses

Over the past decade, deep learning has achieved remarkable success across domains such as computer vision and natural language processing. Despite their strong predictive capabilities, these models often function as black boxes, limiting transparency and making them difficult to trust in high-stakes applications such as healthcare and business decision-making. While explainable artificial intelligence (XAI) methods improve interpretability, most approaches remain post-hoc, focusing on statistical associations rather than uncovering the underlying functional mechanisms governing predictions.

Symbolic regression (SR) has emerged as a promising direction within XAI by directly discovering explicit mathematical expressions that describe relationships between inputs and outputs. Unlike traditional …

The Effect Of Social Media On The Growth Of Animal Shelters And Rescue Programs, Viktoria Schmidt

Marketing Undergraduate Honors Theses

The landscape of animal welfare in the United States is currently navigating a period of structural transformation, moving from a reactive “holding” model toward a proactive “community resource” model. They are becoming an assistive safety net rather than just a physical “cell” for these animals. They had no choice but to focus on space, however they’ve transitioned towards open communication to create a relationship with onlookers. As of 2026, the industry faces a complex capacity crisis; while 2025 marked the first significant decrease in shelter euthanasia since the pandemic, an 8.1% drop, approximately 5.8 million animals continue to enter the …

Exclusive By Design: Engineered Scarcity And Consumer Behavior In Fashion Drops, Caroline H. Meyer

Marketing Undergraduate Honors Theses

The drop business model centers on releasing small batches of products, often without much notice, on a recurring or semi-regular schedule. These limited releases, or "drops," sell out quickly and rarely restock, creating urgency and making each product feel exclusive. Consumers are trained to anticipate launches, check for updates, and act fast within minutes to secure items before they’re gone. By tapping into psychological drivers such as scarcity, fear of missing out (FOMO), and the desire for social belonging, the drop model flips traditional retail logic. Instead of keeping shelves full, it withholds. Instead of lowering prices to drive sales, …

The Political Transformation Of Corporate America, 2001–2022, Reilly S. Steel

Faculty Scholarship

This article reconciles conflicting views about the political landscape of corporate America with new data on the revealed political preferences of 97,469 corporate directors and executives at 9,005 different U.S. companies. Driven largely by turnover, I find that average observed ideology for directors and executives has shifted meaningfully to the left over time, changing from modestly conservative in 2001 to roughly centrist by 2022. This finding supports a middle-ground position between conventional wisdom casting “big business” as a conservative stronghold and revisionist views holding the opposite. Counterfactual simulations and a difference-in-differences design suggest multifaceted reasons for these changes, and hand-collected …

Enameling Coating Of Pipes: Thermal Proprieties And Corrosion Tests, Signo Reis, Genda Chen, Mike Koenigstein, Liang Fan

Materials Science and Engineering Faculty Research & Creative Works

Enamel coating on pipelines can be done in several ways such as the wet process, plasma spray, and electrostatic process. Wet process requires little capital expenses and provides an acceptable finish for industrial applications particularly when the part to be coated is small. Electrostatic process of enamel powder is most promising to coating large pipelines in field conditions. The enamel coating applied by the electrostatic process is very consistent and smooth since each particle is glass only. However, the powder is very fragile until fired and the charge retention is lowered in high humidity conditions. Coupons cut from a full-size …

Effect Of Environmental Conditions On Fracture Of Composite Materials And Thin Films, Victor Birman

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Environmental conditions, i.e., temperature and moisture, affect mechanical properties of materials, including composites. In this paper, we concentrate on one of the aspects of the effect of environment on fracture in a composite lamina. The paper demonstrates an analytical approach to account for the effect of the changes in environment on the strain energy release rate of composite materials and thin films. These analytically determined strain energy release rates should be compared to fracture toughness to predict the susceptibility of the material to fracture. Numerical examples are presented for several polymeric and metal matrix composites using available experimental data for …

Validity Of The Schrage Equation In Prediction Of Evaporation Rate Of Liquid N-Dodecane In High-Pressure Nitrogen Gas: A Molecular Dynamics Study, Wazih Tausif, Jordan Hartfield, Md Amin Haque, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Evaporation of liquid fuel in a high-pressure air is a process that critically influences fuel–air mixing in advanced propulsion systems. In this work, we use molecular dynamics (MD) simulations to study the validity and accuracy of the Schrage equation in quantifying the evaporation and condensation rates of n-dodecane (a diesel surrogate) in air (approximated as N2 gas) with gas pressure varying from 0 atm to above the critical pressure of n-dodecane. The MD simulation results show that the evaporation coefficient (αe) is higher than the condensation coefficient (αc) at the evaporating n-dodecane surface and is lower than αc at the …

A Federated Learning Framework For Data-Sovereign Predictive Maintenance In Distributed Smart Manufacturing, Md Sazol Ahmmed, Sriram Praneeth Isanaka, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Featured Application: The proposed federated learning framework can be applied in distributed smart manufacturing environments where multiple factories or production facilities collaboratively develop predictive maintenance models without sharing sensitive operational data. This approach is particularly useful for industrial networks involving geographically distributed plants, contract manufacturing partners, and multi-site production systems where data sovereignty and avoidance of raw data sharing are critical. Predictive maintenance enables early detection of machine failures and reduces unexpected production downtime. However, conventional approaches typically rely on centralized data collection and model training which introduce challenges related to data sovereignty, communication overhead and data ownership. To address …

Dynamic Mechanical Insertion Analysis Of Gelatin Methacryloyl Microneedles Under Realistic Insertion Conditions, Moloud Amini Baghbadorani, Masoumeh Zargar, Abdellah Shafieian, Majid Tolouei-Rad

Research outputs 2022 to 2026

Despite the great potential of Gelatin Methacryloyl (GelMA) microneedles (MNs) for minimally invasive drug delivery and interstitial fluid extraction, their performance under realistic insertion conditions and across diverse geometrical and mechanical parameters has remained uncharacterized. In this study, dynamic and static finite-element analyses were conducted for the first time to compare three types of crosslinked GelMA MNs: conical, pyramidal, and tapered-conical with and without base support. Insertion force, von Mises stress, and safety factors were evaluated at insertion velocities of 2-6 m/s under varying crosslinking times and polymer concentrations. The tapered-conical geometry demonstrated the best overall mechanical reliability, combining moderate …

3d-Printed Cf-Pla Bone Plates With Metamaterial Structures: Design, Fabrication, And Mechanical Evaluation, Ani Daniel, Hamed Bakhtiari, Alireza Nouri, Barun K. Das, Muhammad Aamir, Majid Tolouei-Rad

Research outputs 2022 to 2026

This study presents the design, fabrication, and mechanical performance of carbon fiber-reinforced polylactic acid (CF-PLA) bone plates incorporating auxetic and non-auxetic metamaterial architectures. Four lattice-structured bone plates (re-entrant, rotating square, tetrachiral, and hexagonal) were evaluated for their flexural, tensile, and compressive properties. The specimens were fabricated using Fused Deposition Modelling (FDM). The tetrachiral structure demonstrated superior bending capacity, achieving a flexural stress of 17 MPa and a modulus of 1214 MPa. Under both tension and compression, it exhibited the highest strength (24.5 MPa and 40 MPa, respectively) and stiffness (1441 MPa in tension and 2352 MPa in compression), while the …

Measurements And Scaling Of Ion Propulsion Impulse During Driven Magnetic Reconnection, Fatima Ebrahimi, Nicholas A. O'Gorman, Kush Maheshwari, Jongsoo Yoo, Alexandre Sainterme, Hantao Ji

Faculty Publications

Impulse scaling during magnetic reconnection, the magnetic energy conversion to kinetic energy, via direct Mach probe measurements in Magnetic Reconnection Experiment is examined. Ion exhaust velocity and impulse scalings with reconnecting magnetic field during the push phase of driven reconnection are presented. The outflows and impulse measurements are compared with global MHD simulations. Both measurements and simulations reveal a favorable scaling, greater than linear, of impulse with reconnecting field. These scaling results establish that magnetic reconnection could be utilized for plasma propulsion.

Low Methane Emissions From Nutrient-Rich Former River Channels In A Hydrologically Managed Dryland Delta, Siena Stassi, Jude A. Benavides, Chu-Lin Cheng, Marcelo Gomes Da Silva, Nicholas E. Ray, Nathan O. Barros, Rafael M. Almeida

School of Earth, Environmental, & Marine Sciences Faculty Publications

Anthropogenic stresses in dryland regions can alter hydrology, salinization, and biogeochemical processes. How these pressures influence methane (CH4) cycling and emissions from aquatic ecosystems remains poorly understood. Over the course of 1 year, we measured diffusive and ebullitive CH4 emissions from resacas—shallow, hydrologically managed distributary channels prevalent throughout the Lower Rio Grande Valley along the US–Mexico border. Despite warm, nutrient-rich waters, CH4 emissions from resacas were low, and more comparable to rates observed in estuarine systems. CH4 fluxes were positively related to temperature but negatively related to salinity and rainfall. Elevated salinity, driven by evaporation and source water from the …

Advanced Optimization And Integration Of Propellant Flow Path For Cntr Fuel Tube, David Cox, Michael Rietze, Karl Lauture, Max Lowe, Elijah Spencer, Kojo Pinkrah

Mechanical Engineering Capstone Design Projects

The Centrifugal Nuclear Thermal Rocket (CNTR) is an advanced propulsion concept whose performance is strongly influenced by the efficiency and continuity of its propellant flow path. This project focuses on improving the geometric integrity and analytical fidelity of the CNTR fuel tube inlet and manifolds, which are critical subsystems governing pressure losses and downstream performance. In prior designs, these parts consisted of multiple components assembled using adhesive, introducing geometric discontinuities that increased head losses and limited the reliability of computational analysis.

In this work, the inlet and manifold were successfully redesigned as single, integrated components. This redesign represents a key …

A Critical Review And Methodological Recommendations For Life Cycle Assessment Of Electrochemical Co₂ Mineralization, Dennis Dadzie, Kwame Awuah-Offei

Mining Engineering Faculty Research & Creative Works

Purpose: While researchers have relied on life cycle assessments (LCAs) to make claims about the environmental benefits of electrochemical CO₂ mineralization, no systematic review literature exists that synthesizes what we know about the LCA of electrochemical mineralization. This review aims to synthesize established knowledge on the LCAs of electrochemical CO₂ mineralization studies, identify research gaps and discuss challenges, and suggest guidelines for applying the ISO 14040/14044 LCA methodology in this sector. Methods: This paper undertook a comprehensive review of LCA studies on CO₂ mineralization with emphasis on electrochemical mineralization. We utilized relevant keywords based on the theme to search in …

Poor Esg: Regressive Effects Of Climate Stewardship, Zohar Goshen, Assaf Hamdani, Alex Raskolnikov

Faculty Scholarship

The rise of inequality and global warming are the two ultimate challenges of our time. After decades of congressional failure to address climate change, the private sector has stepped in and adopted a set of environmental, social, and governance (ESG) policies as a market-based solution to a public policy failure. ESG advocates hope that corporate executives would save our planet. Where Congress failed, ESG will succeed.

This Article argues that if ESG-driven climate stewardship ever achieves the scale necessary to have a real impact on global warming, it will hurt the poor. Legislative interventions to combat climate change are nearly …

Adhesion G Protein-Coupled Receptors, Tobias Langenhan, Garret R Anderson, Demet Araç, Gabriela Aust, Monserrat Avila-Zozaya, Sofie Morsing Bagger, Patrick Barth, Sandra Berndt, Stephen C Blacklow, Beatriz Blanco-Redondo, Antony A Boucard, James P Bridges, Lara-Sophie Brodmerkel, Kathleen M Caron, Yin Kwan Chung, Andrew N Dates, Virginea De Araujo Farias, Daniel Del Toro, Joseph G Duman, Felix B Engel, David M Favara, Caroline J Formstone, Chaoyu Fu, Alain Garcia De Las Bayonas, Anastasia Georgiadi, David E Gloriam, Randy A Hall, Jörg Hamann, Peter W Hildebrand, Cheng-Chih Hsiao, Bill X Huang, Jonathan A Javitch, Hee-Yong Kim, Robert J Kittel, Gunnar Kleinau, Richard Leduc, Ines Liebscher, Hsi-Hsien Lin, Joshua Linnert, Marie-Gabrielle Ludwig, David C Martinelli, Signe Mathiasen, Daniel Matúš, Mariam Melkumyan, Ana L Moreno-Salinas, Jan Mulder, Michael A Nash, Kasturi Pal, Daniel T Pederick, Nicole A Perry-Hauser, Xianhua Piao, Yu-Qi Ping, Dimitris G Placantonakis, Fabian Pohl, Simone Prömel, Mette M Rosenkilde, Laurent Sabbagh, Richard C Sando, Patrick Scheerer, Torsten Schöneberg, Elena Seiradake, Mareike Selcho, Florian Seufert, Abhishek K Singh, Georgios Skiniotis, Katja Spiess, Norbert Sträter, David Strutt, Thomas C Südhof, Jinpeng Sun, Gregory G Tall, Doreen Thor, Douglas G Tilley, Kimberley F Tolias, Mario Vallon, Erwin G Van Meir, Benoit Vanhollebeke, Giselle R Wiggin, Uwe Wolfrum, Jie Yan, Nathan A Zaidman, Yimin Zou, Nicole Scholz

Faculty, Staff and Students Publications

Adhesion G protein-coupled receptors (aGPCRs) constitute a structurally and functionally distinct group within the superfamily of GPCRs. In 2015, the International Union of Pharmacology invited the Adhesion GPCR Consortium to publish a comprehensive review about aGPCRs and establish a unified nomenclature. Since then, substantial progress has been made in delineating the biological roles, molecular architecture, biochemical properties, expression profiles, ligand repertoire, and activation and signaling strategies of aGPCRs. Commensurate with these advances, their relevance to human pathophysiology has become increasingly apparent. In a coordinated effort, the Adhesion GPCR Consortium has reviewed recent progress in this field and provides a comprehensive …

Mif-Cd74 Signaling Drives Immune Modulation In Medulloblastoma, Benjamin Draper, Zhen You, Dean Thompson, Xu Guo, Alaide Morcavallo, Diego Chillon Pino, Carlos Lorenzo Gido Nery, Sumana Shrestha, Chantelle E Bowers, Courtney Himsworth, Alberto Delaidelli, Bethany Remeniuk, Sonia Morlando, Brandon Wade, Freya Gordon, Yara Sanchez-Corrales, Bei Hopkins, Natalie Monteiro, Darren Locke, Miao Liu, Jacob Torrejon Diaz, Kevin Greenslade, Barbara Martins Da Costa, Karen Barker, Colin Kwok, Olumide Ogunbiyi, Anya Fletcher, Stacey Richardson, Carlos Custodia, Rafael Roque, Thomas Jackson, Regan Barfoot, Sergi Castellano, Rebecca M Hill, Olivier Saulnier, Thomas S Jacques, Michael D Taylor, Claudia C Faria, Olivier Ayrault, Poul H Sorensen, John Anderson, Louis Chesler, L Frank Huang, Steven C Clifford, Laura K Donovan

Faculty, Staff and Students Publications

Background: Relapsed medulloblastoma remains a significant therapeutic challenge as it is near universally fatal. The tumor microenvironment of medulloblastoma plays a critical role in tumor progression, influencing tumor growth, immune evasion, and therapeutic resistance. We hypothesized that defining tumor-immune interactions in diagnostic and relapsed medulloblastoma may uncover mechanisms of immune evasion and identify novel therapeutic targets.

Methods: We analyzed paired primary and recurrent RNA-sequencing data from 140 medulloblastoma patients to profile immune cell composition and validate spatial relationships within the TME. To identify key tumor-immune interactions, we developed a novel algorithm to detect receptor-ligand pairs using single-cell RNA-sequencing data. These …

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The Bridge

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