Digital Commons Network^™

Clinical Subtypes Of Co-Morbid Insomnia And Obstructive Sleep Apnea (Comisa): Results Of A Cluster Analysis, Yuan Shi, Xujun Feng, Fengyi Hao, Yuru Nie, Yihui Zhang, Zhaohua Chen, Siqi Guan, Larry D. Sanford, Michael V. Vitiello, Xiangdong Tang

Department of Pathology & Anatomy Faculty Publications

Background

Variations in the bidirectional relationship between obstructive sleep apnea (OSA) and insomnia in co-morbid insomnia and OSA (COMISA) may form distinct subtypes of COMISA, which have not been previously characterized. This study aims to identify and characterize subtypes of COMISA.

Methods

From a community-recruited COMISA cohort 256 individuals who met diagnosis for COMISA were used to identify subtypes using a two-step clustering methodology. Demographics and multidimension clinical characteristics were collected and compared among obtained subtypes. Logistic models were used to evaluate whether these subtypes were associated with cardiometabolic and mental disorders. A clinical cohort of 1816 COMISA patients was …

Eeg And Imu Gait Signal Processing: A Comparative Assessment Of The "Reza" Exponential Filter And Classic Filters, Reza Pousti, Daniel M. Russell, Derek C. Monroe, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

Noise degrades both EEG and gait signals, and classical IIR filters (Butterworth, Chebyshev, elliptic) involve trade-offs between passband flatness, ripple, and roll-off. This study compared a novel exponential "Reza" filter with these designs for neural and locomotor data. We analyzed an open-source mobile brain-body imaging dataset with EEG and gait data from 49 healthy adults (EEG: 256-channel, 512 Hz; IMUs: six APDM Opals, 128 Hz). EEG channels were grand-averaged and band-pass filtered at 0.5-50 Hz, while IMU axes were averaged and band-pass filtered at 0.5-5 Hz. The outcomes were signal-to-noise ratio SNR (dB) and band-integrated Welch PSD (EEG:0.5-50 Hz; IMU:0.5-5 …

Pancreatic Cancer Detection Consortium Biomarker Bakeoff: A Phase Ii Blinded Biomarker Validation And Panel Discovery Study, Ann L. Oberg, William R. Bamlet, Grant Izmirlian, Seetharaman Balasenthil, Surinder K. Batra, Masataka Hayashi, Daniel S. Herman, Michael A. Hollingsworth, Maneesh Jain, Ann M. Killary, Brianna M. Krusen, Suyu Liu, Shounak Majumder, Gopalakrishnan Natarajan, Subrata Sen, Lynette M. Smith, Sudhir Srivastava, Brian M. Wolpin, Kenneth S. Zaret, Michael G. Goggins

Journal Articles: Biochemistry & Molecular Biology

PURPOSE: The Pancreatic Cancer Detection Consortium (PCDC) performed a blinded Early Detection Research Network-defined phase II biomarker bakeoff study of blood-based biomarker panels. The aims were to evaluate panel performance, to compare the panels' performance with that of cancer antigen 19-9 (CA19-9) alone, and to evaluate the performance of new combinations of the individual biomarkers.

EXPERIMENTAL DESIGN: Ten biomarkers representing eight biomarker panels and CA19-9 were evaluated using plasma, serum, and germline DNA from 140 stage I to IV pancreatic ductal adenocarcinoma (PDAC) cases and 140 controls from three tertiary care institutions, with controls frequency matched to cases on age …

Overcoming Radiation Resistance: Ferroptosis Induction To Sensitize Solid Tumors To Radiation Therapy, Joseph Carmicheal, Caden M. Fritson, Alexandra Seas, Heidi M. Vieira, Surinder K. Batra

Journal Articles: Biochemistry & Molecular Biology

Radiation therapy (RT) is a mainstay of treatment for a myriad of cancers, often utilized for tumors that are unable to be resected, as well as an adjunct to surgery and chemotherapy. Unfortunately, many cancers are resistant to RT-induced damage and subsequent cell death. This has spurred the pursuit of novel radiation sensitizers that could potentiate the effects of this widely used and important treatment modality. Since its discovery as a regulated cell death mechanism in 2012, ferroptosis has been studied for its connection to cancer and other known oxidative pathways. With this, the interplay between RT and ferroptosis in …

35 Individuals With Huwe1-Related Neurodevelopmental Disorder And Suggested Clinical Evaluations, Mindy H. Li, Deziree L. Coleman, Kelsey Hogan, Danielle Luz, Lindsay Bhandari, Newell Belnap, Tiffany Busa, Charles Coutton, Klaus Dieterich, Svetlana Gorokhova, Clara Hildebrandt, Rachel Logan, Milena Mariani, Manuela Morleo, Vincenzo Nigro, John Pappas, Rachel Rabin, Kelly Schoch, Angelo Selicorni, Vandana Shashi, Rebecca Spillman, Jennifer Sullivan, Charlotte Tardy, Samantha A. Schrier Vergano, Brock Grill, Kristin Baranano

Department of Pediatrics Faculty Publications

HUWE1 (HECT, UBA, and WWE Domain Containing E3 Ubiquitin Protein Ligase1, OMIM 300697), located at Xp11.22, encodes a ubiquitin ligase that is highly conserved across species. Genetic variants in HUWE1 described in multiple independent studies cause X-linked intellectual disability, including in the patients identified by Juberg, Marsidi, and Brooks. This report describes 35 additional cases of individuals with variants in HUWE1 and suggested guidelines for clinical management. Our study includes several female cases, which have not been widely reported previously. Our findings confirm earlier reported clinical features including developmental delay, autism, hypotonia, short stature, and dysmorphic facial features as well …

Dampened Social Motivation In Dysphoria: The Role Of Negative Social Expectancies And Internal Causal Attribution Style, Julie L Ji, Nilly Mor, Colin Macleod

School of Psychology

Dysphoria is associated with dampening of social interaction intention, but the cognitive mechanisms that underpin this relationship are under-investigated. This study tested the hypothesis that heightened negative social expectancies mediate the association between dysphoria and dampened social motivation. Additionally, it tested the hypothesis that the association between dysphoria and negative social expectancies is mediated by an attribution style bias that attributes negative, but not positive, outcomes to internal causes. University students (N = 271) with varied levels of dysphoria read vignettes describing hypothetical situations where they initiate a social interaction that results in positive or negative outcomes. Participants rated their …

Prolonged Qt Interval In Hiv-1 Infected Humanized Mice Treated Chronically With Dolutegravir/Tenofovir Disoproxil Fumarate/Emtricitabine, Ali Namvaran, Julian V. Garcia, Mahendran Ramasamy, Kayla Nguyen, Farzaneh Tavakkoli Ghazani, Bryan T. Hackfort, Prasanta Dash, Reagan E. Fisher, Benson J. Edagwa, Santhi Gorantla, Keshoer R. Bidasee

Journal Articles: Cellular & Integrative Physiology

The REPRIEVE Trial recently reported high rates of sudden cardiac death (SCD) middle-aged people living with HIV-1 infection (PWH) using the WHO/NIH-recommended two nucleoside reverse transcriptase inhibitors (NRTIs)/one integrase strand inhibitor (INSTI) regimen to manage HIV-1 viremia. To date, clinically relevant animal models to delineate underlying causes for this remain limited. Here, we assessed if HIV-1-infected NOD.Cg-Prkdc^scidIl2rg^tm1Wjl/SzJ humanized mice (Hu-mice) treated with the WHO/NIH-recommended antiretroviral regimen, dolutegravir (DTG, INSTI)/tenofovir disoproxil fumarate (TDF, NRTIs)/emtricitabine (FTC, NRTIs), can recapitulate abnormalities in the ECG and subclinical structural heart disease that serve as harbingers of SCD in middle-aged PWH. …

“Shaking The Ladder” Reveals How Analytic Choices Can Influence Associations In Nutrition Epidemiology: Beef Intake And Coronary Heart Disease As A Case Study, Colby J Vorland, Lauren E O'Connor, Beate Henschel, Cuiqiong Huo, James M Shikany, Carlos A Serrano, Robert Henschel, Stephanie L Dickinson, Keisuke Ejima, Aurelian Bidulescu, David B Allison, Andrew W Brown

Children’s Nutrition Research Center Staff Publications

Nutrition epidemiological models involve many analytic decisions, such as defining exposures, selecting which covariates to include, or configuring variables in different ways. We explored the impact of analytical decisions on conclusions in nutrition epidemiology using self-reported beef intake and incident coronary heart disease as a case study. We used REasons for Geographic and Racial Differences in Stroke (REGARDS) data, and selected covariates and their configurations from published literature to recapitulate common models used to assess associations between meat intake and health outcomes. Three model sets were designed: sets one and two used continuous and quintile-defined beef intakes, respectively, each with …

Examining Widely Held Propositions On Human Dietary Protein Needs And Benefits: A Critical Review Of The Science That Shapes Both The Data And Our Understanding Of An Essential Macronutrient, Mitchell M Kanter, Sally Aaron, Steven N Austad, Andrew W Brown, Nicholas A Burd, Wayne W Campbell, Mark Cope, Teresa A Davis, John W Erdman, Miguel Freitas, Kristen Hicks-Roof, Samuel Klein, Wantanee Kriengsinyos, Dudley W Lamming, Donald K Layman, Heather J Leidy, Kevin C Maki, Richard D Mattes, Shalene Mcneill, Daniel R Moore, Stefan M Pasiakos, Stuart M Phillips, David Raubenheimer, Wendy Reinhardt, Nancy R Rodriguez, Stephen Simpson, Hans H Stein, Luc J C Van Loon, Connie M Weaver, David B Allison

Children’s Nutrition Research Center Staff Publications

The essentiality of protein in the human diet is unequivocal. Yet researchers, clinicians, and lay people often believe numerous propositions about dietary protein despite insufficient supporting or refuting data in some instances. To address this disconnect, and to "pressure-test" current beliefs about dietary protein, the Indiana University School of Public Health-Bloomington convened a workshop in February 2025 titled "Human Dietary Protein Needs and Benefits: A Critical Assessment of Postulated Propositions." More than 20 international experts discussed (1) methodologic issues affecting data acquisition and interpretation; (2) "optimal" dietary protein intakes and effects on muscle protein synthesis rates, muscle protein accretion, …

Sustainable Community-Wide Model To Enhance Cancer Data Usage And Utility, Emily S Boja, Mousumi Ghosh, Ying Huang, Tung-Shing Mamie Lih, Rawan Shraim, Gregory Wheeler, Diana Thomas, Rakesh Khanna, Stephanie Sandor, Jinghui Zhang, Sapna Oberoi, Nicolas J Llosa, Aditya Suru, Fernanda Silva Michels, Eric Durbin, Anna Fernandez, Lucy Han, James Galbraith, Yin Lu, Brian Furner, James H Tanis, Michael Watkins, David Higgins, Gavriel Matt, Xin Zhou, Yang Li, Marcin Cieslik, Jamie Estill, Michael Sierk, Yanling Sun, Weiping Ma, Joseph Flores-Toro, Freddie Pruitt, Subhashini Jagu, Elmer A Fernández, Daniela Orschanski, Stephanie J Spielman, Jaclyn Taroni, Trinh Nguyen, Brian Capaldo, Erin Beck, Tanja Davidsen, Johanna Goderre Jones, Minghong Ward, Anne Sturcke, Jennifer M Torres Del Valle, Sean Hanlon, Danielle Daee, Brandon Wright, Nathaniel Boyd, Heather Basehore, Liang Liu, Ying Hu, Daoud Meerzaman, Huiqing Li, Ying Wu, Gregory H Reaman, Erin Rudzinski, Jack F Shern, Brigitte Widemann, Warren Kibbe, Jaime Guidry Auvil

Children’s Nutrition Research Center Staff Publications

Despite vast investments in data collection, generation, and sharing from childhood cancer studies, for example, Gabriella Miller Kids First Research Program, Childhood Cancer Data Initiative, and other efforts, secondary use of data remains a challenge especially for rare diseases. The National Cancer Institute (NCI) Office of Data Sharing (ODS) aimed to promote FAIR (Findable, Accessible, Interoperable, Reusable) data sharing practices to enhance data utility, accelerate discovery, and foster interdisciplinary collaboration. NCI ODS launched its inaugural Data Jamboree focusing on childhood cancer alongside its third Annual Symposium in September 2025. Over 120 participants with diverse backgrounds coalesced into 23 multidisciplinary teams …

“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 …

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 …

Associations Between Contralesional Neuroplasticity And Motor Impairment Through Deep Learning-Derived Mri Regional Brain Age In Chronic Stroke (Enigma): A Multicohort, Retrospective, Observational Study, Gilsoon Park, Mahir Khan, Justin Andrushko, Nerisa Banaj, Michael Borich, Lara Boyd, Amy Brodtmann, Truman Brown, Cathrin Buetefisch, Adriana Conforto, Steven Cramer, Michael Dimyan, Martin Domin, Miranda Donnelly, Natalia Egorova-Brumley, Elsa Ermer, Wuwei Feng, Fatemeh Geranmayeh, Colleen Hanlon, Brenton Hordacre, Neda Jahanshad, Steven Kautz, Mohamed Salah Khlif, Jingchun Liu, Martin Lotze, Bradley Macintosh, Feroze Mohamed, Jan Nordvik, Fabrizio Piras, Kate Revill, Andrew Robertson, Christian Schranz, Nicolas Schweighofer, Na Jin Seo, Surjo Soekadar, Shraddha Srivastava, Bethany Tavenner, Gregory Thielman, Sophia Thomopoulos, Daniela Vecchio, Emilio Werden, Lars Westlye, Carolee Winstein, George Wittenberg, Jennifer Ferris, Chunshui Yu, Paul Thompson, Sook-Lei Liew, Hosung Kim

Department of Radiology Faculty Papers

BACKGROUND: Stroke leads to complex chronic structural and functional brain changes that specifically affect motor outcomes. The brain predicted age difference (PAD) has emerged as a sensitive biomarker of both sensorimotor and cognitive function after stroke. Our previous study showed a higher global brain PAD associated with poorer motor function after stroke. However, the association between local stroke lesion load, regional brain age, and motor impairment is unclear. This study aimed to investigate the associations between focal lesion damage, regional brain PAD in both hemispheres, and motor outcomes in chronic stroke, and to identify key predictors of motor impairment.

METHODS: …

“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 …

Correction: Feasibility Of Conducting A Pilot Randomized Trial Of A Mindfulness-Based Intervention Among Sheltered Young Adults Experiencing Homelessness, Diane Santa Maria, Paula Cuccaro, Erica Sibinga, Kimberly Bender, Ethel Jacko, Widumini Liyanage, Jennifer Jones, Stanley Cron

Faculty, Staff and Student Publications

This corrects the article "Feasibility of conducting a pilot randomized trial of a mindfulness-based intervention among sheltered young adults experiencing homelessness" in volume 16, 1649664.

A Complete Diploid Human Genome Benchmark For Personalized Genomics, Nancy F. Hansen, Nathan Dwarshuis, Hyun Joo Ji, Arang Rhie, Hailey Loucks, Glennis A. Logsdon, Mitchell R. Vallger, Jessica M. Storer, Juhyun Kim, Eleni Adam, Nicolas Alternose, Dmitry Antipov, Mobin Asri, Sofia Barreira, Stephanie C. Bohaczuk, Andrey V. Bzikadze, Sara A. Carioscia, Andrew Carroll, Kuan-Hao Chao, Yanan Chu, Arun Das, Peter Ebert, Adam English, Mark Fleharty, Laura E. Fleming, Giulio Formenti, Andrea Guarracino, Gabrielle A. Hartley, Katharine Jenike, Jenna Kalleberg, Yu Kang, Robert King, Josipa Lipovac, Mira Mastoras, Matthew W. Mitchell, Shloka Negi, Nathan D. Olson, Keisuke K. Oshima, Luis F. Paulin, Brandon D. Pickett, David Porubsky, Jane Ranchalis, Desh Ranjan, Mikko Rautiainen, Harold Riethman, Robert D. Schnabel, Fritz J. Sedlazeck, Kishwar Shafin, Mile Sikic, Steven J. Solar, Alexander P. Sweeten, Winston Timp, Justin Wagner, Dongahn Yoo, Ying Zhou, Erik Garrison, Evan E. Eichler, Michaeel C. Schatz, Andrew B. Stergachis, Rachel J. O'Neill, Karen H. Miga, Steven L. Salzberg, Sergey Koren, Justin M. Zook, Adam M. Phillippy

School of Medical Diagnostics & Translational Sciences Publications

Human genome sequencing typically relies on mapping reads to a reference genome to call variants, but this approach introduces technical biases, excluding duplicated and structurally polymorphic regions of the genome. To overcome this, we present a telomere-to-telomere genome benchmark with near-perfect accuracy across 99.4% of the diploid HG002 genome. This benchmark adds 701.4 Mb of autosomal sequence and both sex chromosomes (216.8 Mb), which were absent from prior benchmarks. We annotated genes and repeats on both haplotypes, including 19,956 protein-coding genes on the maternal haplotype and 19,190 on the paternal haplotype, and developed new methods to measure the accuracy of …

Simulation Training In Radiation Oncology, Michael C. Schell, Andrew W. Beavis, Derek W. Brown, Michael Milano, Michael O'Neill, Yan Yu, Daniel C. Pavord, Peter Dunscombe

Department of Radiation Oncology Faculty Papers

Simulation training can be used in the design of new processes or, more commonly, to train and re-train healthcare personnel in standard processes. Simulation training is one avenue to making radiation oncology a high reliability health care intervention. In this paper, we explore the relevance of simulation training to the provision of high-quality and safe radiation oncology practice against the background of simulation training conducted in high reliability industries. The use of simulation training in healthcare, as well as specific examples in radiation oncology, is reviewed. An outline of the steps for developing a simulation training program is provided. Simulation …

Investigation Of A Global Mouse Methylome Atlas Reveals Subtype-Specific Copy Number Alterations In Pediatric Cancer Models., Melanie Schoof, Tuyu Zheng, Martin Sill, Roland Imle, Alessia Cais, Lea Altendorf, Alicia Fürst, Nina Hofmann, Kati Ernst, Dominik Vonficht, Kenneth Chun-Ho Chan, Tim Holland-Letz, Andreas Postlmayr, Ryo Shiraishi, Wanchen Wang, Alaide Morcavallo, Michael Spohn, Carolin Göbel, Judith Niesen, Levke-Sophie Peter, Franck Bourdeaut, Zhi-Yan Han, Yanxin Pei, Najiba Murad, Fredrik J. Swartling, Jessica Taylor, Monika Yadav, Garrett R. Gibson, Richard J. Gilbertson, Matthias Dottermusch, Rajanya Roy, Kornelius Kerl, Rainer Glass, Jiying Cheng, Martin A. Horstmann, Gerrit Wolters-Eisfeld, Haotian Zhao, Dominik Sturm, Viveka Nand Yadav, Louis Chesler, Simon Haas, William A. Weiss, Paul A. Northcott, Lena M. Kutscher, Ana Guerreiro Stucklin, Olivier Ayrault, Julia E. Neumann, Daisuke Kawauchi, David T W Jones, Kristian Pajtler, Ana Banito, Stefan M. Pfister, Ulrich Schüller, Marc Zuckermann

Manuscripts, Articles, Book Chapters and Other Papers

Copy number alterations (CNAs) are hallmarks of cancer, yet investigation of their oncogenic role has been hindered by technical limitations and missing model systems. Here we generated a genome-wide DNA methylation and CNA atlas of 106 genetic mouse models across 31 pediatric tumor types, including 18 new models for pediatric glioma. We demonstrated their epigenetic resemblance to human disease counterparts and identified entity-specific patterns of immune infiltration. We discovered that mouse tumors harbor highly recurrent CNA signatures that occur distinctly based on the tumor subgroup and driving oncogene and showed that these CNAs share syntenic regions with the matching human …

Explainable Convolutional Neural Network Model Provides An Alternative Genome-Wide Association Perspective On Mutations In Sars-Cov-2, Parisa C. Hatami, Richard Annan, Luis Miranda, Jane L. Gorman, Mengjun Xie, Letu Qingge, Hong Qin

Computer Science Faculty Publications

Identifying informative genomic features in SARS-CoV-2 can help clarify patterns of viral evolution. In this study, we developed an explainable convolutional neural network (CNN) model to classify SARS-CoV-2 genomic sequences into the WHO-designated Variants of Concern (VOCs), Alpha, Beta, Gamma, Delta, and Omicron. Using a balanced dataset of genomes, the classification CNN achieved 99.96% accuracy on the held-out test set. To interpret the model’s predictions, we applied SHapley Additive exPlanations (SHAP) to estimate the contribution of each nucleotide position to VOC-label prediction and compared aggregated attributions with a chi-square GWAS baseline applied to the same categorical labels. SHAP prioritized several …

Picturing The Past: The Role Of Photo Cue Visual Perspective On Positive Autobiographical Memory Recall In Dysphoria, Sarah Snow, Zachary Adolph Niese, Julie L Ji

School of Psychology

Positive autobiographical memory plays a key role in emotional well-being and is distorted by cognitive processing biases in dysphoria. This experiment investigated how the visual perspectives (first-person vs. third-person) of personal photographs influence recall of positive memories depending on dysphoria. Eighty-five participants (42 low dysphoria, 43 high dysphoria) submitted photos of positive events from both perspectives. Later, participants recalled these events while viewing either a first- or third-person photo before rating and describing their memory. While first-person photos promoted more recall from an own-eyes vantage point regardless of dysphoria level, dysphoria was still associated with greater observer-like recall, reduced mental …

Role-Differentiated Ai Competencies And Curriculum Implications For Health Professions Education: Qualitative Study, Yuyi Park, Yejin Han, Hyeongjo Kim, Solmoe Ahn, Frederick William Kron, Jihyun Lee

Department of Family and Community Medicine Faculty Publications

Background: As AI fundamentally transforms the healthcare landscape, medical education curricula have struggled to keep pace with these technological shifts. While current research has established a foundation for general AI literacy, less attention has been given to the role-specific competencies required for the diverse functions that healthcare professionals perform in an AI-integrated environment. Although existing tiered and domain-based competency models have clarified general AI competency requirements, they offer limited guidance on how such competencies should be differentiated according to the roles healthcare professionals perform in practice.

Objective: This study aimed to explore how AI-driven changes in healthcare shape competency requirements …

A Hybrid Vit-L/32-Maxvit-L Architecture With Adaptive Gated Fusion For Multiclass Gastrointestinal Disease Detection And Multi-Method Post-Hoc Explainability, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Accurate detection of gastrointestinal diseases from endoscopic images remains challenging due to substantial inter-class similarity, intra-class variability, and heterogeneous lesion presentation. While convolutional neural networks (CNNs) effectively capture fine mucosal textures, their limited receptive field restricts global contextual reasoning. Conversely, transformer architectures model long-range dependencies but may underrepresent localized structural detail.

Methods: This study proposes a dual-branch hybrid transformer framework that integrates global token-level reasoning from ViT-L/32 with hierarchical spatial modeling from MaxViT-L. An adaptive gated fusion mechanism is introduced to dynamically regulate the relative contribution of local and global representations on a per-sample basis, enabling content-aware cross-scale integration. …

Genetic Variants Associated With Sjögren’S Disease Subtypes Stratified By Clinical Feature, Nitesh Enduru, Chihiro Iwaya, Akiko Suzuki, Zhongming Zhao, Junichi Iwata

Faculty, Staff and Student Publications

Introduction: Sjögren's disease (SjD) is a chronic autoimmune disorder characterized by dry mouth (xerostomia) and dry eyes (xerophthalmia) due to inflammation in exocrine glands, particularly the salivary and lacrimal glands. The condition presents a wide variety of clinical features, suggesting that it may involve heterogeneous conditions without a clear boundary. Although genome-wide association studies (GWAS) have identified several genetic variants associated with SjD, their roles in SjD pathogenesis remain unclear.

Methods: In this study, we aimed to identify single-nucleotide polymorphisms (SNPs) associated with SjD by categorizing patients based on four diagnostic markers: anti-Ro/SSA and anti-La/SSB antibodies, IgG levels, and lymphocyte …

Association Between Three-Dimensional Margin Assessment And Local Tumor Control In Percutaneous Lung Cryoablation Of Colorectal Metastases, Frank Mohn, Koustav Pal, Caleb O'Connor, Iwan Paolucci, Austin Castelo, Kamran Ahrar, Steven Yevich, Joshua D Kuban, Bruno C Odisio, Alda Lui Tam, Rahul A Sheth, Kristy K Brock

Faculty, Staff and Student Publications

Purpose

To evaluate the association of two minimum ablation margin (MAM) estimation methods: manual three-dimensional segmentation and biomechanical deformable image registration (DIR) with local tumor progression-free survival (LTPFS) after percutaneous lung cryoablation of colorectal pulmonary metastases.

Materials and Methods

This retrospective single-institution study included patients who underwent percutaneous lung cryoablation between May 2012 and March 2023 (median follow-up, 3.6 years; range, 0.8–9.6 years). Manual three-dimensional MAM was calculated for all tumors, and DIR-based MAM was estimated in a subset with intraprocedural full-thorax imaging. Cox proportional hazards regression assessed associations between MAM and LTPFS. The primary outcome was 2-year LTPFS, with …

Bop2-Comb: Bayesian Optimal Phase Ii Design For Optimizing Doses And Assessing Contribution Of Components In Drug Combinations, Xiaohan Chi, Ying Yuan, Ruitao Lin

Faculty, Staff and Student Publications

Background: Personalized cancer treatment using combination therapies offers substantial therapeutic benefits over single-agent treatments in most cancers. However, unmet clinical needs and increasing market competition pressure drug developers to quickly optimize combination doses and clearly demonstrate the contribution of each component when developing and evaluating new combination treatments.

Methods: We propose a Bayesian optimal phase II drug-combination (BOP2-Comb) design that optimizes the combination dose and evaluates the proof-of-concept as well as the contribution of each component in two seamless stages. Our optimal calibration scheme minimizes the total trial sample size while controlling incorrect decision rates at nominal levels. This calibration …

Examining Motivators And Barriers To Meditation Practice Among Individuals With Spinal Cord Injury: Insights From A Survey Study, Radha Korupolu, Chelsea G Ratcliff, Ariana Andampour, Susan Robinson-Whelen, Shrasti Lohiya, Audrey S Cohen, Christine Bakos-Block, Tiffany Champagne-Langabeer

Faculty, Staff and Student Publications

Context: Meditation and mindfulness practices offer promising non-pharmacological alternatives for individuals with spinal cord injury (SCI) to improve their health and well-being, but integrating such practices into daily routines can be challenging.

Objectives: This survey study aims to identify motivators and barriers to engagement with meditation and mindfulness interventions among individuals with SCI.

Methods: A cross-sectional survey was conducted among adults with SCI (N = 94) from a single large acute rehabilitation center in the United States.

Results: Results from the survey showed a strong interest in meditation among individuals with SCI, with nearly half reporting current engagement in meditation …

Interventional Oncology: A Primer For Clinicians On The Role Of Ablation And Embolization For Solid Tumors, Mohamed E Abdelsalam, Kamran Ahrar, Rahul A Sheth, Ketan Y Shah, Steven Yevich, Varshana Gurusamy, Bruno C Odisio, Alda L Tam, Armeen Mahvash, Peiman Habibollahi

Faculty, Staff and Student Publications

Interventional radiology (IR) is a rapidly evolving medical field that combines advanced imaging with minimally invasive techniques for both diagnosis and treatment. Interventional oncology (IO), a subspecialty of IR, focuses on the minimally invasive, image-guided intervention for cancer and cancer-related conditions. IR plays an important and increasingly recognized role within the multidisciplinary care of patients with cancer, contributing meaningfully to diagnosis, therapy, and palliation. IO therapies, particularly tumor ablation and transarterial embolization, aim to target tumors directly while preserving surrounding healthy tissue. These therapies are increasingly supported by clinical guidelines and have shown favorable outcomes in cancers such as hepatocellular …

The Lysine Demethylase Kdm4c Is An Oncogenic Driver And Regulates Erk Activity In Kras-Mutant Pancreatic Ductal Adenocarcinoma, Menna-T-Allah Shaheen, Sarah Dhebat, Kimal I Rajapakshe, Bidyut Ghosh, Benson Chellakkan Selvanesan, Shariq S Ansari, Cara L Haymaker, Dorsay Sadeghian, Huamin Wang, Ching-Fei Li, Haoqiang Ying, Anirban Maitra

Faculty, Staff and Student Publications

Deregulation of proteins involved in chromatin regulation is common in pancreatic ductal adenocarcinoma (PDAC). Lysine demethylase 4C (KDM4C) is one of the chromatin-modifying proteins frequently overexpressed across multiple solid cancers and is linked to chromatin instability, increased cell proliferation, and enhanced stem cell–like behavior. We observed upregulation of KDM4C protein in a panel of human PDAC cell lines and patient samples compared with nonneoplastic controls. CRISPR/Cas9-mediated deletion of KDM4C in human and murine PDAC cells reduced proliferation, clonogenicity, and increased survival of orthotopically implanted murine PDAC allografts. Transcriptomic and proteomic analyses revealed that loss of KDM4C in both human and …

Initial Experience With Remote Mri Scanning Support In An Oncology Focused Practice: Opportunities For Expanded Access To Radiology Care, Christopher M Walker, Maria G Maldonado, Megan C Jacobsen, Suprateek Kundu, Michelle L Underwood, Joshua P Yung, Brandy J Reed, David Jaffray, R Jason Stafford, Marshall E Hicks, Caroline Chung, Aradhana M Venkatesan

Faculty, Staff and Student Publications

Background: As medical imaging demand grows, there is increasing stress on the currently available workforce to deliver consistent, high-quality imaging studies while ensuring rapid study turnaround times and round-the-clock radiology coverage. Advances in remote access technology facilitating remote scan assistance and control are now commercially available to address these pressing clinical needs.

Methods: This work evaluated an early clinical application of a virtual scanner operations system (syngo Virtual Cockpit (VA13A, Siemens Healthineers, Erlangen, Germany) for remote magnetic resonance imaging (MRI) monitoring and scan control at three geographically distant outpatient sites associated with our primary institution.

Results: The system facilitated execution …

Preclinical Ischemic Stroke Multicenter Trials (Prism) Collective Statement: Opportunities, Challenges, And Recommendations For A New Era, Cenk Ayata, Philip M Bath, Anna M Planas, Stuart M Allan, Johannes Boltze, Ryan P Cabeen, Claire L Gibson, Marilyn J Cipolla, Marcio A Diniz, Stefano Fumagalli, Fahmeed Hyder, Raymond C Koehler, Arthur Liesz, Sarah K Mccann, Tim Magnus, Louise D Mccullough, Emily S Sena, Simone Beretta, Jaroslaw Aronowski, Francesca Bosetti, Clinton B Wright, Patrick D Lyden, Lauren H Sansing

Faculty, Staff and Student Publications

Preclinical stroke research faces a critical translational gap, with animal studies failing to reliably predict clinical efficacy. To address this, the field is moving toward rigorous, multicenter preclinical randomized controlled trials (mpRCTs) that mimic phase 3 clinical trials in several key components. This collective statement, derived from experts involved in mpRCTs, outlines considerations for designing and executing such trials. mpRCTs offer advantages such as increased sample sizes, robust statistical design, incorporation of heterogeneity, and standardized protocols, but they face challenges in finding the right balance between standardization and heterogeneity, appropriate stroke model selection, and outcome measures, as well as the …