Digital Commons Network^™

Gti: Graph-Based Tree Index With Logarithm Updates For Nearest Neighbor Search In High-Dimensional Spaces, Ruoyao Ma, Yifan Zhu, Baihua Zheng, Lu Chen, Congcong Ge, Yunjun Gao

Research Collection School Of Computing and Information Systems

Nearest neighbor search (NNS) is fundamental for high-dimensional space retrieval and impacts various fields, such as pattern recognition, information retrieval, recommendation systems, and vector database management. Among existing NNS methods, graph-based methods often excel in query accuracy and efficiency. However, these methods face significant challenges, including high construction costs and difficulties with dynamic data updates. Recent efforts have focused on combining graph methods with hashing, quantization, and tree-based approaches to address these issues, but problems with large index sizes and update performance remain unresolved. In response, this paper proposes GTI, a novel, lightweight, and dynamic graph-based tree index for high-dimensional …

Privacy-Preserving Ridge Regression Over Encrypted Data Under Multiple Keys, Yanling Li, Junzuo Lai, Meng Sun, Beibei Song, Robert H. Deng

Research Collection School Of Computing and Information Systems

With the increase of private data being collected by data owners, it has been a trend for data owners to store the data on cloud computing platforms. The huge amounts of data in cloud servers bring fresh development opportunities to machine learning, which is applied to build a high-quality machine learning model based on a large training dataset. However, to ensure the privacy of data and facilitate retrieval, data owners often upload encrypted data under their public keys. But it creates new challenges for machine learning to learn a predictive model over these encrypted data under different keys. Most existing …

Static Analysis As A Feedback Loop: Enhancing Llm-Generated Code Beyond Correctness, Scott Blyth, Sherlock Licorish, Christoph Treude, Markus Wagner

Research Collection School Of Computing and Information Systems

Large language models (LLMs) have demonstrated impressive capabilities in code generation, achieving high scores on benchmarks such as HumanEval and MBPP. However, these benchmarks primarily assess functional correctness and neglect broader dimensions of code quality, including security, reliability, readability, and maintainability. In this work, we systematically evaluate the ability of LLMs to generate high-quality code across multiple dimensions using the PythonSecurityEval benchmark. We introduce an iterative static analysis-driven prompting algorithm that leverages Bandit and Pylint to identify and resolve code quality issues. Our experiments with GPT-4o show substantial improvements: security issues reduced from >40% to 13%, readability violations from >80% …

Detecting Defi Fraud With A Graph-Transformer Language Model, Wei Ma, Junjie Shi, Jiaxi Qiu, Cong Wu, Jing Chen, Lingxiao Jiang, Shangqing Liu, Yang Liu, Yang Xiang

Research Collection School Of Computing and Information Systems

With the rapid development of blockchain technology, the widespread adoption of smart contracts—particularly in decentralized finance (DeFi) applications—has introduced significant security challenges, such as reentrancy attacks, phishing, and Sybil attacks. To address these issues, we propose a novel model called TrxGNNBERT, which combines Graph Neural Network (GNN) and the Transformer architecture to effectively handle both graph-structured and textual data. This combination enhances the detection of suspicious transactions and accounts on blockchain platforms like Ethereum. TrxGNNBERT was pre-trained using a masked language model (MLM) on a dataset of 60,000 Ethereum transactions by randomly masking the attributes of nodes and edges, thereby …

Map As A By-Product: Collective Landmark Mapping From Imu Data And User-Provided Texts In Situated Tasks, Ryo Yonetani, Kotaro Hara

Research Collection School Of Computing and Information Systems

This paper presents Collective Landmark Mapper, a novel map-as-a-by-product system for generating semantic landmark maps of indoor environments. Consider users engaged in situated tasks that require them to navigate these environments and regularly take notes on their smartphones. Collective Landmark Mapper exploits the smartphone's IMU data and the user's free text input during these tasks to identify a set of landmarks encountered by the user. The identified landmarks are then aggregated across multiple users to generate a unified map representing the positions and semantic information of all landmarks. In developing the proposed system, we focused specifically on retail applications and …

Towards Multimodal Emotional Support Conversation Systems, Yuqi Chu, Lizi Liao, Zhiyuan Zhou, Chong-Wah Ngo, Richang Hong

Research Collection School Of Computing and Information Systems

The integration of conversational artificial intelligence (AI) into mental health care promises a new horizon for therapist-client interactions, aiming to closely emulate the depth and nuance of human conversations. Despite the potential, the current landscape of conversational AI is markedly limited by its reliance on single-modal data, constraining the systems’ ability to empathize and provide effective emotional support. This limitation stems from a paucity of resources that encapsulate the multimodal nature of human communication essential for therapeutic counseling. To address this gap, we introduce the Multimodal Emotional Support Conversation (MESC) dataset, a first-of-its-kind resource enriched with comprehensive annotations across text, …

History Informing The Future Of Exercise Oncology, Daniel A. Galvão, Kerry S. Courneya, Alejandro Lucia, Anne M. May, Karen Mustian, Allison B. Warner, Wiskemann Joachim, Karen Wonders, Kathryn H. Schmitz, Robert U. Newton

Research outputs 2022 to 2026

Exercise is increasingly recognized by patients, clinicians, and allied health professionals globally as an important component of cancer care. In this paper, we provide a viewpoint on developments in exercise oncology over the past 4 decades leading up to the creation of the International Society of Exercise Oncology (ISEO). We briefly review research in adult and pediatric cancers from early foundation studies to larger randomized controlled trials published in mainstream oncology journals alongside critical work undertaken in exercise and cancer biological mechanisms. We also discuss potential strengths, weaknesses, opportunities, and threats facing ISEO in becoming a global forum for exercise …

Full Issue, Volume 20, Issue 3

Journal of Youth Development

No abstract provided.

High-Resolution Mapping Of Alcohol-Related Brain Connectivity In Adults Using 7t Fmri And Multivoxel Pattern Classification, Alan N. Francis, Ihsan Salloum

School of Medicine Publications

Background: Emerging evidence suggests that alcohol use disrupts large-scale brain network interactions, particularly within the triple network model-comprising the Salience Network (SN), Default Mode Network (DMN), and Frontoparietal Network (FPN). However, few studies have examined how these connectivity alterations vary across the full spectrum of alcohol consumption, especially using ultra-high-field imaging and data-driven approaches. This study leverages 7 Tesla resting-state fMRI and multivariate pattern analysis (MVPA) to characterize distinct brain connectivity patterns across heavy, moderate, and non-drinking adults, aiming to identify neural signatures that differentiate alcohol use severity levels.

Methods: We analyzed resting-state functional connectivity data from 69 adults (Mean …

Democratizing Community Discourse Analysis In Computational Social Science, Md Towhidul Absar Chowdhury

Theses

Community resource inequities and undetected infrastructure vulnerabilities cost municipalities billions annually, with disproportionate impacts on marginalized communities. Current computational approaches to community needs assessment suffer from two critical limitations: they rely on aggregate-level analysis that obscures granular community expressions, and they implement sophisticated computational tools that remain inaccessible to stakeholders without technical expertise. This creates what we term the Community-Computational Gap—a persistent divide where domain experts with vital contextual knowledge cannot access the analytical tools they need, while computational experts develop models without sufficient community context. This dissertation addresses these challenges through a novel methodological framework for fine-grained utterance-level classification …

Assessing The Effectiveness Of Crawlers And Large Language Models In Detecting Adversarial Hidden Link Threats In Meta Computing, Junjie Xiong, Mingkui Wei, Zhuo Lu, Yao Liu

Computer Science Faculty Research & Creative Works

In the emerging field of Meta Computing, where data collection and integration are essential components, the threat of adversary hidden link attacks poses a significant challenge to web crawlers. In this paper, we investigate the influence of these attacks on data collection by web crawlers, which famously elude conventional detection techniques using large language models (LLMs). Empirically, we find some vulnerabilities in the current crawler mechanisms and large language model detection, especially in code inspection, and propose enhancements that will help mitigate these weaknesses. Our assessment of real-world web pages reveals the prevalence and impact of adversary hidden link attacks, …

Amicus In Trump V. Cook: The Fed, Offices As Property, And The Meaning Of “Cause”, Jed Handelsman Shugerman

Faculty Scholarship

The Federal Reserve Act states that “each member shall hold office for a term of fourteen years from the expiration of the term of his predecessor, unless sooner removed for cause by the President.” 12 U.S.C. § 242. Based on the historical record, when Congress creates an office with a fixed term of years and protects against removal without “cause,” Congress has both granted “a constitutionally protected property interest” under the Fifth Amendment (that cannot be taken away without “due process”) and extended a statutory entitlement to receive fair notice and a meaningful opportunity to respond before any removal may …

Organizing For Abolition In Ice Custody, Sarah R. Sherman-Stokes

Faculty Scholarship

The final Immigration and Customs Enforcement (“ICE”) detainees were released from the Irwin County Detention Center in early September 2021.² A court did not order the end of ICE detention at Irwin. A social movement, led by people detained at Irwin, had a pronounced impact on the epistemological landscape and changed both normative principles and public opinion.³ Those detained at Irwin organized and acted to create new understanding of law and protect their rights in ways that courts and legislatures could not. This Essay tells the story of that demosprudential project; a dialectic between legal elites and people …

Reimagining U.S. Tort Law For Deepfake Harms: Comparative Insights From China And Singapore, Huijuan Peng, Pey Woan Lee

Research Collection Yong Pung How School Of Law

This Article explores how U.S. tort law can respond more effectively to the distinct harms posed by deepfakes, including reputational injury, identity appropriation, and emotional distress. Traditional tort doctrines, such as defamation, the right of publicity, and intentional infliction of emotional distress (IIED), remain fragmented and ill-suited to the speed, scale, and anonymity of deepfake dissemination. Using a comparative functionalist approach, the Article analyzes how China and Singapore respond to deepfake harms through structurally divergent but functionally instructive frameworks. China’s model combines codified personality rights with intermediary obligations under a civil law regime, while Singapore adopts a hybrid approach that …

Strengthening The International Competitiveness Of Capital Markets: Global Insights And Local Strategies, Aurelio Gurrea-Martinez

Research Collection Yong Pung How School Of Law

Global capital markets are undergoing a profound transformation. Over the past decade, there has been a marked decline in Initial Public Offerings (IPOs) in most advanced economies, including those with highly developed capital markets such as the United Kingdom and the United States. Interestingly, during the same period, countries like Indonesia, Malaysia, Thailand and particularly China, have witnessed a significant increase in the number of listed companies, contributing to making Asia home to approximately 55% of all listed companies worldwide. The decline in IPO activity has prompted many countries and regions around the world, including the United Kingdom, the United …

Critical Care Cadets: A Serious Game For Managing Mechanical Ventilation, Daniel Hassumani, Satid Thammasitboon, Fong Lam, Aarti Bavare, Moushumi Sur, Shelley Kumar, Thomas Reeves, Brian Rissmiller

Faculty, Staff and Students Publications

Background: Pediatric critical care medicine (PCCM) fellows require proficiency in mechanical respiratory support and ventilator management strategies. Traditional training methods have limitations, and there is a need to expedite the learning process. Serious games have emerged as effective supplements to traditional teaching methods, promoting knowledge acquisition through immersive and engaging experiences. However, there is a void in the context of complex decision making in mechanical ventilation management.

Objective: To develop a serious game to enhance the knowledge and practical strategies of PCCM fellows in mechanical ventilation management.

Methods: The game was designed on the basis of theory-informed design principles and …

A Consensus Guide To Preclinical Indirect Calorimetry Experiments, Alexander S Banks, David B Allison, Thierry Alquier, Ansarullah, Steven N Austad, Johan Auwerx, Julio E Ayala, Joseph A Baur, Stefania Carobbio, Gary A Churchill, Morten Dall, Rafael De Cabo, Jose Donato, Nathalia R V Dragano, Carol F Elias, Anthony W Ferrante, Brian N Finck, Jose E Galgani, Zachary Gerhart-Hines, Laurie J Goodyear, Justin L Grobe, Rana K Gupta, Kirk M Habegger, Sean M Hartig, Andrea L Hevener, Steven B Heymsfield, Corey D Holman, Martin Hrabě De Angelis, David E James, Lawrence Kazak, Jae Bum Kim, Martin Klingenspor, Xingxing Kong, Sander Kooijman, Louise Lantier, K C Kent Lloyd, James C Lo, Irfan J Lodhi, Paul S Maclean, Owen P Mcguinness, Gema Medina-Gómez, Raghavendra G Mirmira, Christopher D Morrison, Gregory J Morton, Timo D Müller, Yoshihiro Ogawa, David Pajuelo-Reguera, Matthew J Potthoff, Nathan Qi, Marc L Reitman, Patrick C N Rensen, Jan Rozman, Jennifer M Rutkowsky, Kei Sakamoto, Philipp E Scherer, Gary J Schwartz, Radislav Sedlacek, Mohammed Selloum, Saame Raza Shaikh, Shuai Chen, Gerald I Shulman, Vojtěch Škop, Alexander A Soukas, John R Speakman, Bruce M Spiegelman, Gregory R Steinberg, Katrin J Svensson, John P Thyfault, Tony Tiganis, Paul M Titchenell, Nigel Turner, Licio A Velloso, Antonio Vidal-Puig, Christopher S Ward, Ashley S Williams, Christian Wolfrum, Allison W Xu, Ying Xu, Juleen R Zierath, International Indirect Calorimetry Consensus Committee (Iiccc)

Children’s Nutrition Research Center Staff Publications

Understanding the complex factors influencing mammalian metabolism and body weight homeostasis is a long-standing challenge requiring knowledge of energy intake, absorption and expenditure. Using measurements of respiratory gas exchange, indirect calorimetry can provide non-invasive estimates of whole-body energy expenditure. However, inconsistent measurement units and flawed data normalization methods have slowed progress in this field. This guide aims to establish consensus standards to unify indirect calorimetry experiments and their analysis for more consistent, meaningful and reproducible results. By establishing community-driven standards, we hope to facilitate data comparison across research datasets. This advance will allow the creation of an in-depth, machine-readable data …

A Metabolomics Study Of Cardiac Dysfunction In Hyperglycemia: Findings From The Atherosclerosis Risk In Communities (Aric) Study And The Hispanic Community Health Study/Study Of Latinos (Hchs/Sol), Yilin Yoshida, Ngoc Quynh Nguyen, Eun Hye Moon, Casey Rebholz, Hicham Skali, Victoria Arthur, Justin B Echouffo-Tcheugui, Christie Ballantyne, Elizabeth Selvin, Amil Shah, Robert Kaplan, Carlos J Rodriguez, Qibin Qi, Susan Cheng, Bing Yu

Faculty, Staff and Student Publications

Objective: Hyperglycemic states (prediabetes and diabetes) are associated with heart failure (HF) risk. We aimed to identify distinct metabolites for subclinical cardiac dysfunction, a precursor of HF, in hyperglycemic or euglycemic individuals.

Research design and methods: We conducted cross-sectional and prospective analyses of 2,492 HF-free participants from the Atherosclerosis Risk in Communities (ARIC) study visit 5, 2011-2013. A total of 1,297 participants were hyperglycemic (assessed on the basis of hemoglobin A1c >5.7%, fasting glucose >100 mg/dL, use of diabetes medication, or diagnosis), and 1,195 were euglycemic. We used logistic regression for analysis of association between 790 metabolites and cardiac dysfunction, …

Coenzyme Q Headgroup Intermediates Can Ameliorate A Mitochondrial Encephalopathy, Guangbin Shi, Claire Miller, Sota Kuno, Alejandro G Rey Hipolito, Salsabiel El Nagar, Giulietta M Riboldi, Megan Korn, Wyatt C Tran, Zixuan Wang, Lia Ficaro, Tao Lin, Quentin Spillier, Begoña Gamallo-Lana, Drew R Jones, Matija Snuderl, Soomin C Song, Adam C Mar, Alexandra L Joyner, Roy V Sillitoe, Robert S Banh, Michael E Pacold

Duncan NRI Faculty and Staff Publications

Decreased brain levels of coenzyme Q10 (CoQ10), an endogenously synthesized lipophilic antioxidant1,2, underpin encephalopathy in primary CoQ10 deficiencies3,4 and are associated with common neurodegenerative diseases and the ageing process5,6. CoQ10 supplementation does not increase CoQ10 pools in the brain or in other tissues. The recent discovery of the mammalian CoQ10 headgroup synthesis pathway, in which 4-hydroxyphenylpyruvate dioxygenase-like protein (HPDL) makes 4-hydroxymandelate (4-HMA) to synthesize the CoQ10 headgroup precursor 4-hydroxybenzoate (4-HB)7, offers an opportunity to pharmacologically restore CoQ10 synthesis and mechanistically treat CoQ10 deficiencies. To test whether 4-HMA …

Eugenics And Polygenic Embryo Screening: Public, Clinician, And Patient Perceptions Of Conditions Versus Traits, Dorit Barlevy, Rémy A Furrer, Asha Kalapatapu, Abigail Martinez, Todd Lencz, Shai Carmi, Gabriel Lázaro-Muñoz, Stacey Pereira

Center for Medical Ethics and Health Policy Staff Publications

Purpose: Polygenic embryo screening (PES) estimates an embryo's genetic chances of developing complex conditions (eg, cancer) and traits (eg, height). Stakeholders have raised concerns that PES promotes eugenic practices and ideology.

Methods: We surveyed a nationally representative sample of the US public on approval of screening embryos for 12 conditions and 12 traits and examined the association between disapproval and concern about eugenics. We also conducted semistructured interviews with US-based reproductive endocrinology and infertility specialists and patients undergoing in vitro fertilization on their perspectives toward PES.

Results: Among the US public (n = 1423), disapproval of screening embryos for traits …

Massive Pulmonary Embolism In Acromegaly: A Perfect Storm Of Thrombotic Risk, Giovanni Paolella, Viktoriya Bikeyeva, Christopher Bentsen, Danny Cho, Joseph Adams, Andrii Labchuk, Adib Chaus, Parag Patel

Advocate GME

Purpose: To describe a case of massive pulmonary embolism (PE) in a patient with acromegaly and multiple prior venous thromboembolic (VTE) events who was perioperative, emphasizing the hypercoagulable risk and management challenges. Background: Acromegaly, characterized by elevated insulin-like growth factor-1, may predispose patients to thrombotic events via endothelial dysfunction and procoagulant changes. Data linking acromegaly to venous thromboembolism (VTE) are limited, but recurrent events are clinically significant, especially when anticoagulation is interrupted perioperatively. Methods: A 64-year-old male with acromegaly secondary to a pituitary microadenoma (s/p gamma knife) and a history of multiple VTE events presented for elective substernal thyroidectomy and …

Exploring The Use And Misuse Of Large Language Models, Hezekiah Paul D. Valdez, Faranak Abri, Jade Webb, Thomas H. Austin

Faculty Research, Scholarly, and Creative Activity

Language modeling has evolved from simple rule-based systems into complex assistants capable of tackling a multitude of tasks. State-of-the-art large language models (LLMs) are capable of scoring highly on proficiency benchmarks, and as a result have been deployed across industries to increase productivity and convenience. However, the prolific nature of such tools has provided threat actors with the ability to leverage them for attack development. Our paper describes the current state of LLMs, their availability, and their role in benevolent and malicious applications. In addition, we propose how an LLM can be combined with text-to-speech (TTS) voice cloning to create …

Deep Learning-Based Drowsiness Detection System For Driver’S Safety, Sindhu Vidyanathan Dixith, Shrikant Jadhav, Youngsoo Kim, Naveenkumar Jayakumar

Faculty Research, Scholarly, and Creative Activity

Driver drowsiness is a leading contributor to road accidents, accounting for over 100,000 crashes and approximately ~1000 fatalities each year in the United States alone, as per National Safety Council (NSC). To mitigate this urgent public-safety risk, we propose a real-time Driver Drowsiness Detection System that achieves both high accuracy and fast inference on standard hardware. Our key idea is to combine two complementary deep-learning strategies: 1) a custom Convolutional Neural Network (CNN) paired with a Support Vector Machine (SVM) classifier, and 2) a lightweight transfer-learning model built upon a pre-trained convolutional backbone. We evaluate these approaches on two datasets: …

“Migration Craziness!” Financial Turbulence And Transnational Families In Sri Lanka, Michele R. Gamburd

Anthropology Faculty Publications and Presentations

Why might three relatively well-off, middle-class, young adults from Sri Lanka chose to leave their parents and their village to emigrate to Australia and Italy? Why would these men and women give up promising careers and comfortable homes to start over elsewhere and endure the hardship of an immigrant’s deskilled and displaced life? To understand their decisions, I rely on anthropology’s holistic perspective to help me stitch together intimate details about family choices within a context of global economic structures and national politics. I have done ethnographic research in the village that I call “Naeaegama” since 1992. I have studied …

Deepmvp: Deep Learning Models Trained On High-Quality Data Accurately Predict Ptm Sites And Variant-Induced Alterations, Bo Wen, Chenwei Wang, Kai Li, Ping Han, Matthew V Holt, Sara R Savage, Jonathan T Lei, Yongchao Dou, Zhiao Shi, Yi Li, Bing Zhang

Center on Aging Staff Publications

Post-translational modifications (PTMs) are critical regulators of protein function, and their disruption is a key mechanism by which missense variants contribute to disease. Accurate PTM site prediction using deep learning can help identify PTM-altering variants, but progress has been limited by the lack of large, high-quality training datasets. Here, we introduce PTMAtlas, a curated compendium of 397,524 PTM sites generated through systematic reprocessing of 241 public mass-spectrometry datasets, and DeepMVP, a deep learning framework trained on PTMAtlas to predict PTM sites for phosphorylation, acetylation, methylation, sumoylation, ubiquitination and N-glycosylation. DeepMVP substantially outperforms existing tools across all six PTM types. Its …

Corrigendum To "Validation Of An Assay For Ngal In A Pediatric Population" [Practical Laboratory Medicine, Plabm 486, E00486], Nazmin Bithi, Ridwan B Ibrahim, Estella Tam, Radwa Almamoun, Annett C Frenk Oquendo, Ayse Akcan-Arikan, Sridevi Devaraj

Faculty, Staff and Students Publications

This corrects the article "Validation of an assay for NGAL in a pediatric population", e00486.

Acute Loss Of Tactile Input Leads To General Compensatory Changes In Eye-Hand Coordination During Object Manipulation, Kevin Ung, John F Magnotti, Brandon Kim, Jeffrey M Yau, Per F Nordmark

Faculty, Staff and Students Publications

Current models of motor control emphasize the critical role of sensory feedback, as demonstrated by movement coordination deficits following sensory impairment. When both vision and touch are available for object-oriented manual behaviors, they serve distinct roles; vision guides the execution of planned movements, while touch provides more direct feedback on hand-object interactions. The impact of losing somatosensory feedback on eye-hand coordination during dexterous object manipulation tasks has not been thoroughly studied. Conceivably, vision is recruited to compensate for the feedback lost when touch is abolished based on the dexterity demands of the behavior. To investigate this, we tested healthy participants …

Treatment Of Cutaneous Collagenous Vasculopathy With Pulsed Dye Laser, Hannah L Hanania, Isabella Camacho-Hubbard, Zeena Y Nawas

Faculty, Staff and Students Publications

Objectives: Cutaneous collagenous vasculopathy (CCV) is a rare, idiopathic microangiopathy marked by widespread telangiectasias and histologic vessel wall thickening. Due to its rarity and clinical overlap with other vascular conditions, CCV poses diagnostic and therapeutic challenges. This report highlights the successful use of pulsed dye laser (PDL) therapy in treating a case of extensive CCV.

Methods: A 40-year-old woman with a decade-long history of progressive telangiectasias involving the extremities, trunk, and forearms underwent treatment with a 595-nm PDL. Six treatment sessions were conducted over 14 months.

Results: The patient experienced significant improvement in erythema, telangiectasias, and associated discomfort, with sustained …

High-Resolution Peripheral Quantitative Computed Tomography Reliability And Accuracy Of Bone Density And Morphology Properties In Children, Roman J Shypailo, Chadi Calarge, Punam K Saha, Xiaoliu Zhang, Xiaojie Chen, Stephanie Dinh, Xiaofan Huang, Babette S Zemel, Fida Bacha

Faculty, Staff and Students Publications

Volumetric bone density, microarchitecture, and strength measures using HR-pQCT are valuable measures of bone health in pediatrics. Our cross-sectional study evaluated bone measure reproducibility in pediatric participants using repeat HR-pQCT (XtremeCT II, Scanco Medical) scans of non-dominant distal tibia and radius of 30 healthy children and adolescents (7-17 yr, 47% female) by 2 technicians. Additionally, we examined HR-pQCT and micro-CT of 26 cadaveric distal tibia specimens to evaluate agreement between the modalities. All HR-pQCT scans were analyzed using manufacturer-provided software (Image Processing Language, Scanco Medical) and a fully automated, previously validated, in-house algorithm, offering measures of bone microstructure (eg, trabecular …

Wandering Spleen In A Pediatric Lung Transplant Patient With Filamin A Deficiency: An Incidental Finding, Savannah Ellis Knight, Mayel Yepez Donado, Maria Carolina Gazzaneo

Faculty, Staff and Students Publications

Background: Filamin A (FLNA) deficiency is a known cause of progressive lung disease and need for pediatric lung transplant; however, what may be less well known to lung transplant providers are the extrapulmonary complications of FLNA deficiencies, such as wandering spleen. We present a patient who underwent a lung transplant for FLNA deficiency and later developed posttransplant abdominal pain.

Case presentation: An 11-year-old female who had previously undergone a bilateral lung transplant due to FLNA deficiency, causing progressive lung disease, presented with abdominal pain and diarrhea. The patient's stool was tested for causes of gastroenteritis using a gastrointestinal pathogen panel …