Digital Commons Network^™

The Ai-Native Health Science Institution Innovation Theater Vs. Structural Redesign, Jiajie Zhang, Martin J Citardi, Xiaoqian Jiang, Sean Savitz

Faculty, Staff and Student Publications

Academic health institutions face a new constraint: cognitive labor. Many adopt AI through additive initiatives that risk becoming "innovation theater"-visible activity without structural change. We argue this reflects a mismatch between rapid AI advances and slower institutional evolution. AI-native institutions treat AI as infrastructure, requiring governance, shared platforms, and workforce readiness. The challenge is not adoption but redesign; those that fail risk widening gaps and accelerating irrelevance.

Frame: Fast Reference-Based Ancestry Makeup Estimation Tool, Pramesh Shakya, Ardalan Naseri, Degui Zhi, Shaojie Zhang

Faculty, Staff and Student Publications

Motivation: The availability of large-scale genetic data presents a unique opportunity to study the genetic ancestries of individuals, which requires an efficient and scalable method. The existing global ancestry methods are accurate, but they cannot scale to large genetic datasets. Identity-by-descent (IBD) segments are DNA segments shared by individuals such that they are inherited from a common recent ancestor without recombination. These IBD segments, which reflect co-ancestry, provide an efficient alternative for inferring genetic ancestry.

Results: We introduced a reference-based global ancestry inference method called FRAME (Fast Reference-based Ancestry Makeup Estimation). FRAME utilizes partial local ancestry information estimated through IBD …

Genome-Wide Gene-Sleep Interaction Study Identifies Novel Lipid Loci In 732,564 Participants, Raymond Noordam, Wenyi Wang, Pavithra Nagarajan, Heming Wang, Michael R Brown, Amy R Bentley, Qin Hui, Aldi T Kraja, John L Morrison, Jeffrey R O'Connel, Songmi Lee, Karen Schwander, Traci M Bartz, Lisa De Las Fuentes, Mary F Feitosa, Xiuqing Guo, Xu Hanfei, Sarah E Harris, Zhijie Huang, Mart Kals, Christophe Lefevre, Massimo Mangino, Yuri Milaneschi, Peter J Van Der Most, Natasha L Pacheco, Nicholette D Palmer, Varun Rao, Rainer Rauramaa, Quan Sun, Yasuharu Tabara, Dina Vojinovic, Yujie Wang, Stefan Weiss, Qian Yang, Wei Zhao, Wanying Zhu, Md Abu Yusuf Ansari, Hugues Aschard, Pramod Anugu, Themistocles L Assimes, John Attia, Laura D Baker, Christie Ballantyne, Lydia Bazzano, Eric Boerwinkle, Brain Cade, Hung-Hsin Chen, Wei Chen, Yii-Der Ida Chen, Zekai Chen, Kelly Cho, Ileana De Anda-Duran, Latchezar Dimitrov, Anh Do, Todd Edwards, Tariq Faquih, Aroon Hingorani, Susan P Fisher-Hoch, J Michael Gaziano, Sina A Gharib, Ayush Giri, Mohsen Ghanbari, Hans Jörgen Grabe, Mariaelisa Graff, C Charles Gu, Jiang He, Sami Heikkinen, James Hixson, Yuk-Lam Ho, Michelle M Hood, Serena C Houghton, Carrie A Karvonen-Gutierrez, Takahisa Kawaguchi, Tuomas O Kilpeläinen, Pirjo Komulainen, Henry J Lin, Gregorio V Linchangco, Annemarie I Luik, Jintao Ma, James B Meigs, Joseph B Mccormick, Cristina Menni, Ilja M Nolte, Jill M Norris, Lauren E Petty, Hannah G Polikowsky, Laura M Raffield, Stephen S Rich, Renata L Riha, Thomas C Russ, Edward A Ruiz-Narvaez, Colleen M Sitlani, Jennifer A Smith, Harold Snieder, Tamar Sofer, Botong Shen, Jingxian Tang, Kent D Taylor, Maris Teder-Laving, Rima Triatin, Michael Y Tsai, Henry Völzke, Kenneth E Westerman, Rui Xia, Jie Yao, Kristin L Young, Ruiyuan Zhang, Alan B Zonderman, Xiaofeng Zhu, Jennifer E Below, Simon R Cox, Michelle Evans, Myriam Fornage, Ervin R Fox, Nora Franceschini, Sioban D Harlow, Elizabeth Holliday, M Arfan Ikram, Tanika Kelly, Timo A Lakka, Deborah A Lawlor, Changwei Li, Ching-Ti Liu, Reedik Mägi, Alisa K Manning, Fumihiko Matsuda, Alanna C Morrison, Matthias Nauck, Kari E North, Brenda Wjh Penninx, Michael A Province, Bruce M Psaty, Jerome I Rotter, Tim D Spector, Lynne E Wagenknecht, Ko Willems Van Dijk, Lifelines Cohort Study, Million Veteran Program, Cashell E Jaquish, Peter Wf Wilson, Patricia A Peyser, Patricia B Munroe, Paul S De Vries, W James Gauderman, Yan V Sun, Han Chen, Clint L Miller, Thomas W Winkler, Dabeeru C Rao, Susan Redline, Diana Van Heemst

Faculty, Staff and Student Publications

Background and aims: Deviations from the population mean in sleep duration have been associated with increased risk for developing dyslipidemia and atherosclerotic cardiovascular disease, but the mechanism of effect is poorly characterized. We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets.

Methods: We collected data from 55 cohorts with a combined sample size of 732,564 participants (87 % European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) …

Alternative Polyadenylation Signatures Distinguish Maladaptive Right Ventricular Remodeling In Pulmonary Hypertension: Implications For Rna-Based Diagnostics And Therapeutics, Janani Subramaniam, Venkata Jonnakuti, Scott D Collum, Sandra Martineau, Kai-Lieh Huang, Sandra Breuils-Bonnet, Andrea L Frump, Bindu H Akkanti, Jayeshkumar A Patel, Manish K Patel, Ismael Salas De Armas, Isabella N Lefebvre, Rajko Radovancevic, Elvin Blanco, Eric J Wagner, Igor Gregoric, Sriram Nathan, Biswajit Kar, Steeve Provencher, Sebastien Bonnet, François Potus, Hari Krishna Yalamanchili, Harry Karmouty-Quintana

Faculty, Staff and Student Publications

Increased pulmonary vascular pressures due to vascular remodeling, elevated vascular resistance, and vasoconstriction characterize Pulmonary Arterial Hypertension (PAH). The narrowing of the pulmonary arteries and obstruction of blood flow increase the Right Ventricular (RV) afterload, forcing the RV to undergo structural and functional changes. While adaptive remodeling leads to RV compensation by maintaining function, maladaptive remodeling leads to RV decompensation, characterized by worsening function and eventual failure. At present, there is no effective treatment for these patients as therapies for left ventricular failure are ineffectual, and there are no therapies specifically targeting the RV. Therefore, there is a clear need …

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 …

Multisite, Multiancestry Genome-Wide Association Study Meta-Analysis Of Functional Seizure Disorder In A Hospital Sample Of 675,680 Patients, Slavina B Goleva, Costin Leu, Yen-Chen Anne Feng, David Burstein, Sanan Venkatesh, Rebecca Birnbaum, Veera M Rajagopal, Peter Straub, Jakob Christensen, Jocelyn F Bautista, Robyn M Busch, Imad M Najm, Jakob Grove, Anders D Børglum, Georgios Voloudakis, Panos Roussos, Jordan Smoller, Dennis Lal, Lea K Davis

Faculty, Staff and Student Publications

Background: Functional seizures (FS) are paroxysmal episodes that phenotypically resemble epileptic seizures but are not associated with brain epileptiform discharges; they are also known as psychogenic nonepileptic seizures. The exact etiology and pathophysiology of FS is unknown; however, trauma and stress-related disorders are known risk factors.

Methods: We used a validated algorithm applied to electronic health records to identify individuals with FS in 6 international biobanks and hospital sites. We conducted a multisite FS genome-wide association study (GWAS) meta-analysis, including 10,910 FS cases (9040 predicted European ancestry [EA] and 1870 predicted African ancestry [AA]) and 664,500 (561,150 EA and 103,350 …

De Novo And Inherited Dominant Variants In U4 And U6 Snrna Genes Cause Retinitis Pigmentosa, Mathieu Quinodoz, Kim Rodenburg, Zuzana Cvackova, Karolina Kaminska, Suzanne E De Bruijn, Ana Belén Iglesias-Romero, Erica G M Boonen, Mukhtar Ullah, Nick Zomer, Marc Folcher, Jacques Bijon, Lara K Holtes, Stephen H Tsang, Zelia Corradi, K Bailey Freund, Stefanida Shliaga, Daan M Panneman, Rebekkah J Hitti-Malin, Manir Ali, Ala'a Altalbishi, Sten Andréasson, Georg Ansari, Gavin Arno, Galuh D N Astuti, Carmen Ayuso, Radha Ayyagari, Sandro Banfi, Eyal Banin, Tahsin Stefan Barakat, Mirella T S Barboni, Miriam Bauwens, Tamar Ben-Yosef, Virginie Bernard, David G Birch, Pooja Biswas, Fiona Blanco-Kelly, Beatrice Bocquet, Camiel J F Boon, Kari Branham, Dominique Bremond-Gignac, Alexis Ceecee Britten-Jones, Kinga M Bujakowska, Cyril Burin Des Roziers, Elizabeth L Cadena, Giacomo Calzetti, Francesca Cancellieri, Luca Cattaneo, Naomi Chadderton, Peter Charbel Issa, Luísa Coutinho-Santos, Stephen P Daiger, Elfride De Baere, Marieke De Bruyne, Berta De La Cerda, John N De Roach, Julie De Zaeytijd, Ronny Derks, Claire-Marie Dhaenens, Lubica Dudakova, Jacque L Duncan, G Jane Farrar, Nicolas Feltgen, Beau J Fenner, Lidia Fernández-Caballero, Juliana M Ferraz Sallum, Simone Gana, Alejandro Garanto, Jessica C Gardner, Christian Gilissen, Roser Gonzàlez-Duarte, Kensuke Goto, Sam Griffiths-Jones, Tobias B Haack, Lonneke Haer-Wigman, Alison J Hardcastle, Takaaki Hayashi, Elise Héon, Lies H Hoefsloot, Alexander Hoischen, Josephine P Holtan, Carel B Hoyng, Manuel Benjamin B Ibanez, Chris F Inglehearn, Takeshi Iwata, Brynjar O Jensson, Kaylie Jones, Vasiliki Kalatzis, Smaragda Kamakari, Marianthi Karali, Ulrich Kellner, Caroline C W Klaver, Krisztina Knézy, Robert K Koenekoop, Susanne Kohl, Taro Kominami, Laura Kühlewein, Tina M Lamey, Rina Leibu, Bart P Leroy, Petra Liskova, Irma Lopez, Victor R De J López-Rodríguez, Quinten Mahieu, Omar A Mahroo, Gaël Manes, Luke Mansard, M Pilar Martín-Gutiérrez, Nelson Martins, Laura Mauring, Martin Mckibbin, Terri L Mclaren, Isabelle Meunier, Michel Michaelides, José M Millán, Kei Mizobuchi, Rajarshi Mukherjee, Zoltán Zsolt Nagy, Kornelia Neveling, Monika Ołdak, Michiel Oorsprong, Yang Pan, Anastasia Papachristou, Antonio Percesepe, Maximilian Pfau, Eric A Pierce, Emily Place, Raj Ramesar, Francis Ramond, Florence Andrée Rasquin, Gillian I Rice, Lisa Roberts, María Rodríguez-Hidalgo, Javier Ruiz-Ederra, Ataf H Sabir, Ai Fujita Sajiki, Ana Isabel Sánchez-Barbero, Asodu Sandeep Sarma, Riccardo Sangermano, Cristina M Santos, Margherita Scarpato, Hendrik P N Scholl, Dror Sharon, Sabrina G Signorini, Francesca Simonelli, Ana Berta Sousa, Maria Stefaniotou, Kari Stefansson, Katarina Stingl, Akiko Suga, Patrick Sulem, Lori S Sullivan, Viktória Szabó, Jacek P Szaflik, Gita Taurina, Alberta A H J Thiadens, Carmel Toomes, Viet H Tran, Miltiadis K Tsilimbaris, Pavlina Tsoka, Veronika Vaclavik, Marie Vajter, Sandra Valeina, Enza Maria Valente, Casey Valentine, Rebeca Valero, Sophie Valleix, Joseph Van Aerschot, L Ingeborgh Van Den Born, Mattias Van Heetvelde, Virginie J M Verhoeven, Andrea L Vincent, Andrew R Webster, Laura Whelan, Bernd Wissinger, Georgia G Yioti, Kazutoshi Yoshitake, Juan C Zenteno, Roberta Zeuli, Theresia Zuleger, Chaim Landau, Allan I Jacob, Siying Lin, Frans P M Cremers, Winston Lee, Jamie M Ellingford, David Stanek, Susanne Roosing, Carlo Rivolta

Faculty, Staff and Student Publications

Small nuclear RNAs (snRNAs) combine with specific proteins to generate small nuclear ribonucleoproteins (snRNPs), the building blocks of the spliceosome. U4 snRNA forms a duplex with U6 and, together with U5, contributes to the tri-snRNP spliceosomal complex. Variants in RNU4-2, which encodes U4, have recently been implicated in neurodevelopmental disorders. Here we show that heterozygous inherited and de novo variants in RNU4-2 and in four RNU6 paralogs (RNU6-1, RNU6-2, RNU6-8 and RNU6-9), which encode U6, recur in individuals with nonsyndromic retinitis pigmentosa (RP), a genetic disorder causing progressive blindness. These variants cluster within the three-way junction of the U4/U6 duplex, …

Geospatial Disparities In Adolescent Mental Health Resources: School- And Community-Level Evidence From Travis County, Texas, Sharon V Munroe, Jingjing Gao, Gayla Ferguson, Muinat Abolore Idris, Eric C Jones

Faculty, Staff and Student Publications

Background: Adolescents in the United States face growing mental health challenges, with nearly one in three high school students reporting poor mental health in the past 30 days. Schools increasingly serve as key access points for mental health care. However, geographic disparities in access to school-based mental health services remain underexplored.

Purpose: This study examines the spatial distribution of adolescent mental health resources in Travis County, Texas, and evaluates how school- and community-level factors are associated with the presence of on-site school social workers.

Methods: School locations, enrollment data, and the presence of on-site social workers were mapped and analyzed …

Understanding Ehlers-Danlos Syndrome: A Claims-Based Analysis Of Healthcare Cost Patterns, Samson A Oyediran, Youngran Kim, Zhanna Novikov, Trudy M Krause

Faculty, Staff and Student Publications

Background: Ehlers-Danlos Syndrome (EDS) is a rare connective tissue disorder associated with substantial clinical complexity and healthcare utilization. Despite increasing recognition of EDS, little is known about its economic burden in the United States.

Objective: To assess the all-cause healthcare costs for individuals with newly diagnosed EDS during the pre-diagnosis year and the first 2 years post-diagnosis.

Methods: A retrospective cohort study was conducted using the Merative™ MarketScan® Commercial Claims and Encounters Database (2016-2022). Newly diagnosed patients were identified using ICD-10-CM codes, with the first observed diagnosis defined as the index date. Continuous enrollment for 12 months pre-index and 24 …

Latent Classification Of Time-Dependent Transition Rates In Longitudinal Binary Outcome Data, Joonha Chang, Wenyaw Chan

Faculty, Staff and Student Publications

Continuous-time Markov chain (CTMC) models and latent classification methods are commonly used to analyze longitudinal categorical outcomes in medical research. While CTMC models are popular for their simplicity and effectiveness, their assumption of constant transition rates presents limitations in capturing dynamic behaviors. To address this, non-homogeneous continuous-time Markov chains (NH-CTMCs) have been developed, incorporating time-varying transition rates to enhance model flexibility. In this study, we leverage closed-form transition probabilities for a fully ergodic two-state NH-CTMC model and propose a latent class clustering approach to identify heterogeneous transition rate patterns within the population. We emphasize the potential advantages of these models …

“If He Did It, I Can Do It, Too. I Can Change My Life Around”: The Social Model Of Recovery Within The Context Of Recovery Homes Accepting Residents Prescribed Medications For Opioid Use Disorder, Jodie M Dewey, Kathryn R Gallardo, Meenakshi S Subbaraman, Amy A Mericle

Faculty, Staff and Student Publications

Introduction: This paper provides an in-depth examination of examines four recovery residences, that serve individuals prescribed medications for opioid use disorder (MOUD). The study has two primary aims: first, to deepen understanding of how recovery residences adopt and operationalize Social Model of Recovery principles; and second, to identify gaps in staff integration of residents receiving MOUD-gaps that may either support or undermine the integrity of the social model within these settings.

Methods: We conducted semi-structured interviews with 17 residents receiving MOUD living in four participating recovery homes. The interviews were conducted between August 2022 and January 2024 using a semi-structured …

Corrigendum To 'Continuous Vital Sign Monitoring On Surgical Wards: The Cosmos Pilot, Nikola Anusic, Alper Gulluoglu, Elyad Ekrami, Edward J Mascha, Shuyi Li, René Coffeng, Alparslan Turan, Amber Clemens, Christine Perez, John W Beard, Daniel I Sessler, Cosmos Pilot Investigators

Faculty, Staff and Student Publications

Study objectives: Alerts for vital sign abnormalities seek to identify meaningful patient instability while limiting alarm fatigue. Optimal vital sign alarm settings for postoperative patients remain unknown, as is whether alerts lead to effective clinical responses reducing vital sign disturbances. We conducted a 2-phase pilot study to identify thresholds and delays and test the hypothesis that alerts from continuous monitoring reduce the duration of vital sign abnormalities.

Design: Two-phase pilot.

Patients: 250 adults having major non-cardiac surgery.

Setting: Surgical wards.

Intervention: All patients had routine vital sign monitoring by nurses at 4-h intervals. We initially continuously recorded clinician-blinded saturation, heart …

Pregnancy And Breastfeeding Are Associated With Less Later-Life Cognitive Decline In A Longitudinal, Prospective Cohort, Molly M Fox, Jennifer E Bramen, Dayoon Kwon, Mark A Espeland, Yijia Sun, Li Zhang, Aladdin H Shadyab, Ramon Casanova, Joann E Manson, Marcus Y Chang, Verna R Porter, Leslie V Farland, Qian Xiao, Robert A Wild, Prabha Siddarth, Carolyn J Crandall

Faculty, Staff and Student Publications

Introduction: The brains of female mammals evolved to undergo structural and functional changes during pregnancy and lactation, equipping them for motherhood. However, long-term cognitive health implications of these adaptations in women are poorly understood.

Methods: In the Women's Health Initiative (WHI) Memory Study (WHIMS; n = 7427) and WHI Study of Cognitive Aging (WHISCA; n = 2304), postmenopausal women completed reproductive history interviews, annual global cognitive assessment from mean age 70 for up to 13 years, and multi-domain cognitive testing for up to 8 years.

Results: Each additional month pregnant was associated with higher scores of global cognition. Each additional …

Artificial Light At Night Extends Pollen Season And Elevates Allergen Exposure, Brandt Geist, Lin Meng, Daniel S W Katz, Huidong Li, Franz Hölker, Qian Xiao

Faculty, Staff and Student Publications

Artificial light at night (ALAN), a growing environmental stressor in urban ecosystems, disrupts natural light-dark cycles and alters plant phenological events such as leaf-out and flowering. However, the extent to which ALAN influences airborne pollen season timing and exacerbates allergy-related health risks remains largely understudied. This study investigates how ALAN influences the timing and duration of the airborne pollen season across the Northeastern United States from 2012 to 2023 and the consequences of allergenic pollen exposure. Using daily pollen concentrations from the National Allergy Bureau, ALAN data from the Visible Infrared Imaging Radiometer Suite product, and gridded Daymet climate data, …

Plasma Proteomic Profile Of Dietary Potassium And Incident Ckd, Jiaqi Yang, Lauren Bernard, Jingsha Chen, Valerie K Sullivan, Bing Yu, Eugene P Rhee, Paul A Welling, Casey M Rebholz

Faculty, Staff and Student Publications

Background:: There is a need for objective biomarkers of dietary potassium. The mechanisms through which dietary potassium influences kidney health are incompletely understood.

Methods:: Atherosclerosis Risk in Communities study participants at visit 3 (1993–1995) with dietary and proteomics data were randomly divided into discovery (N=6,814) and replication (N=3,380) sets. We examined associations between dietary potassium and 4,955 aptamers using multivariable linear regression, adjusting for sociodemographic factors, health behaviors, and estimated glomerular filtration rate, with a false discovery rate of 0.05. Then, we tested the prospective associations between potassium-related proteins and incident chronic kidney disease (CKD).

Results:: …

Examining Tobacco Prevention And Cessation Among Dental Students In Southern Italy, Olga Di Fede, Samuel Tundealao, David Okuji, Gaetano La Mantia, Irene Tamí-Maury

Faculty, Staff and Student Publications

Background: Previous studies have reported that tobacco use among healthcare providers (HCPs) has a negative impact on their beliefs and attitudes toward tobacco prevention and control measures. However, little is known about these among Italian dental students. Therefore, this single-site study examined tobacco use behaviors and the knowledge, attitudes, and perceptions of dental students at a public university in Southern Italy regarding tobacco prevention and control.

Methods: A cross-sectional study through an online survey was conducted among 115 students aged 18 + years enrolled in dentistry and dental hygiene programs at a Southern Italy university. Chi-squared, Fisher's, t-tests, and …

Adapting A Smartphone-Based Auricular Point Acupressure Self-Management Program For Rural Chronic Musculoskeletal Pain: Qualitative Study, Jungkyung Min, Peiyin Hung, Jane N Bolin, Rupsikha Bora, Sarah Pace, Patricia Pitones, Hulin Wu, Jennifer Kawi

Faculty, Staff and Student Publications

Background: Chronic musculoskeletal pain is more prevalent in rural areas where access to pain interventions, including complementary approaches like Auricular Point Acupressure (APA), remains limited. APA is a non-invasive, needle-free approach, and its smartphone-based self-management delivery model has not been optimized for rural contexts.

Objectives: To explore the perspectives of rural partners on adapting a smartphone-based Auricular Point Acupressure-Self-Management (APA-SM) program to better meet rural needs. Study objectives were to: (1) refine the APA-SM program for rural adults, (2) identify implementation barriers, (3) understand practice workflows and engagement, and (4) identify strategies to integrate the APA-SM program into rural pain …

Subgroup Identification Of Disparities In Buprenorphine Discontinuation In Opioid-Use Disorder: A Virtual Twins Machine Learning Approach Using Nationwide United States Claims Data, 2006–2022, Kehe Zhang, Paula A Jaimes-Buitron, Wanru Guo, Yanmin Gong, Yuanxiong Guo, Carolina Vivas Valencia, Cici Bauer

Faculty, Staff and Student Publications

Buprenorphine retention is crucial for effective treatment of opioid use disorder (OUD), yet disparities in treatment discontinuation persist. This study aims to identify and quantify disparities in buprenorphine treatment retention using a machine learning framework adapted from Virtual Twins approach focusing on disparities related to sex, age, insurance type, geographic region, mental health status and community-level Social Vulnerability Index (SVI). Using a nationwide longitudinal cohort, we applied a two-stage machine learning approach. In Stage one, we trained classification models to estimate the counterfactual differences in treatment discontinuation across disparity types. Model performance was assessed using C-statistics and precision-recall curve. In …

Improving Overall Risk Ranking Via Subgroup-Level Information Borrowing In Survival Risk Stratification, Tia S Thomas, Jing Ning, Ruosha Li

Faculty, Staff and Student Publications

Effective risk stratification is essential for providing tailored therapies, improving patient outcomes, and optimizing healthcare resources by identifying sub-populations with similar health risks. However, accurate risk ranking is challenging in the presence of heterogeneous subgroups. Under these instances, subgroup-level information can be leveraged to refine the overall risk ranking. We propose a novel approach that integrates within-subgroup risk ranking percentiles to enhance the overall cohort risk stratification. This method uses both a global model and subgroup-specific models along with optimized weights to improve discriminatory performance across the entire cohort. The proposed method is validated through extensive simulations and applied to …

A Qualitative Examination Of Human Papillomavirus Vaccine Access, Beliefs, And Behaviors Among Adult Males Aged 18–35: Applying The Health Stigma And Discrimination Framework, Jacquelin I Cordero, Louis D Brown, Jesús M Alemán, María E Fernández, Serena A Rodríguez, Eva M Moya

Faculty, Staff and Student Publications

Background: Males, who disproportionately account for 83% of oropharyngeal cancer cases, are underrepresented in health promotion research, including human papillomavirus (HPV) vaccination studies. The initial exclusion of males in HPV vaccine research, policies, and interventions has negatively affected male vaccine uptake. Furthermore, stigma, a well-documented barrier to healthcare engagement, has been overlooked in HPV vaccination behaviors. This study aimed to provide a more contextualized understanding of HPV vaccine disparities among adult males by applying the Health Stigma and Discrimination Framework (HSDF) to examine how stigma is produced, enacted, and sustained across social systems, which may impact male vaccine uptake.

Methods: …

The Longitudinal Effect Of Repetition And Practice On The Accuracy Of Lay Anal Examinations For Detecting Perianal And Anal Canal Abnormalities: A Prospective Study, Alan G Nyitray, Timothy L Mcauliffe, Jenna Nitkowski, Cameron Liebert, Michael D Swartz, Ashish A Deshmukh, Jared Kerman, Ellen Almirol, John A Schneider, J Michael Wilkerson, Lu-Yu Hwang, Derek Smith, Duo Yu, Aniruddha Hazra, Elizabeth Y Chiao

Faculty, Staff and Student Publications

Background: While anal cancer screening is now recommended in several countries for high-incidence populations, barriers impede screening uptake. It is well known that patient recognition of symptoms increases cancer screening uptake, and we previously demonstrated that patients can detect small masses at the perianus and in the anal canal. In this current analysis, we aimed to longitudinally assess the effect of repetition and practice on patient self-recognition of small masses.

Methods: Individuals and couples of sexual minority men and transgender women were taught to conduct an anal self-examination or anal companion examination (ASE/ACE) at visit 1 and then randomized to …

Workforce Review Of Health Information Technology Associate-Degree Graduates: 2017-2024, Debra Hamada, Karima Lalani, Melanie Brodnik, Susan H Fenton, Angela Kennedy, David T Marc, Velma L Payne, Rebecca Reynolds

Faculty, Staff and Student Publications

Background: The career path of associate-degree health information technology (HIT) graduates continues to change quickly as quality and payment regulations, technology requirements, and workforce expectations evolve to meet the demands of the changing health care environment. Although HIT professionals play an essential role in accuracy, regulatory compliance, and the overall function of health information systems, there is limited research describing HIT workforce trends.

Methods: A mixed-methods approach was used with 587 survey responses. Quantitative data were standardized by job category, including a newly developed "health information management (HIM) operations" group, and career movement was visualized using a Sankey diagram. Qualitative …

Ai Privacy And Security In Healthcare: A Systematic Literature Review, Diane Dolezel, Karima Lalani, Valerie Watzlaf, Kerryn Butler-Henderson, Elise V Z Lambert, Mary Morton, Jamie Sand, David Gibbs, Susan Fenton

Faculty, Staff and Student Publications

Background: Artificial intelligence is expanding into telemedicine and telerehabilitation, yet significant privacy and security concerns persist.

Scope: To synthesize empirical evidence on privacy and security approaches in health care, particularly those relevant to distributed home care.

Methodology: A systematic review identified 80 studies (2019 to 2025), and Latent Dirichlet Allocation (LDA) topic modeling characterized the privacy and security themes.

Results: Sixty-six studies addressed privacy, only seventeen addressed security, and three studies addressed both. LDA identified four themes: patient data privacy, federated learning for medical imaging, encrypted training and secure computation, and healthcare data governance. Most studies emphasized privacy-preserving approaches, like …

A Structured Review Of Emerging Prompt Instability Indices (Piis) To Evaluate The Reproducibility Of Prompt-Driven Image Segmentation Models., Adib Shafipour, Deevakar Rogith, Zulfiia Ditto, Hien V Tran, Katie Stinson, Toufeeq Ahmed Syed

Faculty, Staff and Student Publications

Prompt-aware image segmentation has introduced new flexibility by allowing models to incorporate user-provided cues, such as points, boxes, or text prompts, to guide object delineation across diverse imaging domains. This flexibility introduces a fundamental challenge: ensuring segmentation results remain reproducible when prompts are altered. Minor variations in prompts produce substantially different outputs, raising concerns about the reliability and scientific validity of research and clinical applications. This paper conducts a structured review of emerging Prompt Instability Indices (PIIs), quantitative measures developed to assess the reproducibility of prompt-driven segmentation models. A systematic search of PubMed and arXiv (2020-2025) identified relevant studies, analyzed …

Advancing Virus-Associated Lymphoma Research In Latin America: A Global Opportunity For Cancer Science, Irene Tamí-Maury, Bryan Valcarcel, Maria Alejandra Torres, Arlett Hernandez Chavez, Luis Malpica

Faculty, Staff and Student Publications

No abstract provided.

Food Delivery Services For Enhancing Participation In The Special Supplemental Nutrition Program For Women, Infants, And Children (Wic) In The United States: Bridging The Wic-Eligible Access Gap, Jingjing Gao, Muinat Abolore Idris, Lilian O Ademu, Bryan Colby Griffin, Yue Zhang, Yun Hang, Gabriela A Gallegos

Faculty, Staff and Student Publications

Background: Diet-related health disparities among U.S. children persist despite the availability of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) benefits to eligible women, infants, and children. Participation remains suboptimal: only 51.2% of eligible individuals were enrolled in 2021. Transportation and food-environment constraints pose salient barriers, especially for caregivers of infants in food deserts. Emerging online ordering and delivery options may reduce access frictions, but grocery delivery coverage is limited, and fees are often not covered by benefits.

Methods: We linked USDA Food and Nutrition Service state-level WIC participation data (November 2024 vs. September 2025) with demographic, …

“I Can’T Just Talk It. I Have To Live It”: The Roles, Needs, And Recruitment Of Recovery Home House Managers, I Niles Zoschke, Kathryn R Gallardo, Hannah L N Stewart, Serena A Rodriguez, Danielle Gillespie, Sheryl A Mccurdy, J Michael Wilkerson

Faculty, Staff and Student Publications

Introduction: Recovery homes are an increasingly important recovery support service for people with substance use disorders, yet limited research has examined the roles of house managers or how individuals are recruited into these positions. This study examines how house managers understand and enact their roles, how recovery home operators recruit for these positions, and how the demands and sustainability of the role are perceived in practice.

Methods: We conducted a qualitative thematic analysis of interviews with 29 operators and staff working in 10 Level II and Level III recovery homes across five Texas cities.

Results: Findings indicate that house managers …

Impact Of A Culinary Medicine Intervention On Diet And Health Metrics In Patients With Type 2 Diabetes And Elevated Body Mass Index, Natalia I Heredia, Logan R Thornton, Diana C Guevara, Natalia Williams, Grace Marcelo-Ramirez, Joanne Chow, Lorna H Mcneill, Karen Basen-Engquist, Ruth Rechis, Deanna M Hoelscher

Faculty, Staff and Student Publications

Purpose: Culinary Medicine (CM), an educational approach blending the art of cooking with the science of medicine, has shown promise in improving diet and health outcomes. We conducted a mixed-methods, quasi-experimental evaluation of a CM program to promote cooking and healthy dietary intake.

Methods: Patients with type 2 diabetes and elevated body mass index (>25) were recruited from primary care clinics in low-income neighborhoods. The program, delivered by a dietitian, includes five weekly 90-minute sessions on basic cooking skills with behaviorally-based nutrition education. An explanatory sequential mixed-methods pilot study with a pre-post survey design and post-program interviews was used …

Nasal Cavity Microbial Makeup And The Influence On Psychiatric Symptoms Following Fire Exposure In Firefighters, Paul Grunsted, Chao Xu, Amanda Janitz, Jessica Reese, Janis Campbell, Tasha M Santiago-Rodriguez, Sara J Javornik Cregeen, Joseph F Petrosino, Jooyeon Hwang

Faculty, Staff and Student Publications

Background: Firefighters experience high levels of occupational stress and trauma, increasing their risk of depression, anxiety, and post-traumatic stress disorder (PTSD). Although microbial communities may influence brain function and behavior through neural pathways, the nasal microbiome remains understudied. This study examined associations between nasal microbiome characteristics and psychiatric symptoms among firefighters.

Methods: We conducted a cross-sectional study of 34 firefighters recruited from Texas fire stations. Participants completed validated questionnaires assessing depression, anxiety, and PTSD. Nasal swabs were collected before and after fire suppression and 16S rRNA sequencing was used to characterize microbial communities. Alpha and beta diversity, relative abundance, and …

What Do Youth Need To Know About Puberty? A Scoping Review Protocol To Identify Puberty Education Competencies, Marie A Brault, Nanki Singh, Nikita Kakkad, Melissa Peskin, Anthony Betori, Gregory Laynor, Emily Naiser

Faculty, Staff and Student Publications

INTRODUCTION: Puberty is a key transition point in adolescents' lives that plays a foundational role in shaping health behaviors and outcomes across one's life course. This period holds significant potential to empower adolescents and support autonomy in health and well-being, but limited puberty education curricula exist for early adolescents (age 8-14), and those that do exist vary in content. There is a paucity of evaluations of puberty competencies and limited consensus on what competencies should be measured to assess effectiveness or even how to measure these competencies.

OBJECTIVE: The objective of this scoping review is to systematically map and characterize …