Digital Commons Network^™

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 …

Understanding Practices Of Lactation And Infant Feeding Together With Women With Hiv: The Uplift Observational Study Protocol, Christiana Smith, Emily Anne Barr, Karen Hampanda, Mark Trumbull, Hulin Wu, Jennifer Mckinney, Sarah Buisson, Carly Hoffmann, Ciarra Brown, Angela B Hutchinson, K Rivet Amico, Ifeyinwa V Asiodu, Elizabeth J Mcfarland, Margaret A Lampe, Preetam A Cholli, Olga Varechtchouk, Allahna Esber, Athena P Kourtis, Lisa Abuogi

Faculty, Staff and Student Publications

Introduction: There is a limited understanding of infant feeding decisions, practices, and outcomes for women living with HIV (WLHIV) and their infants since U.S. guidelines were updated in 2023 to support breastfeeding for virally suppressed women on antiretroviral treatment.

Methods and analysis: The Understanding Practices of Lactation and Infant Feeding Together with women with HIV (UPLIFT) study is a convergent mixed-methods, multisite, observational study designed to address key knowledge gaps. Twelve US sites will begin enrollment in early 2026 to accomplish three core activities (CA). In CA1, we explore infant feeding decision-making and experiences via in-depth interviews with pregnant/postpartum WLHIV …

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 User-Friendly Graphical User Interface For Paw Touch Classification In Rodent Cylinder Testing, Tyler R Johnson, Katherine D Zerefos, Dawn M Taylor

Faculty, Staff and Student Publications

In unilateral rodent models of disease or injury, deficits are induced in only one side of the body, allowing the difference in right versus left limb usage to serve as a metric of disease/injury severity and recovery with various treatments. Unilateral rat models are commonly used for conditions such as Parkinson’s disease (via the neurotoxin 6-hydroxydopamine, 6-OHDA), stroke, and traumatic brain injury, as well as cervical spinal cord injury and peripheral nerve damage. The ‘cylinder test’ has been used for over two decades as a reliable metric of asymmetry in forelimb usage. In this test, videos are taken of the …

Deep Learning To Predict Future Cognitive Decline: A Multimodal Approach Using Brain Mri And Clinical Data, Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H Ankarath, Christopher Patterson, Emma J Gleave, Sophia I Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M Thompson

Faculty, Staff and Student Publications

Predicting the trajectory of clinical decline in aging individuals is a pressing challenge, especially for people with mild cognitive impairment, Alzheimer's disease, Parkinson's disease, or vascular dementia. Accurate predictions can guide treatment decisions, identify risk factors, and optimize clinical trials. In this study, we compared two deep learning approaches for forecasting changes, over a 2-year interval, in the Clinical Dementia Rating scale 'sum of boxes' score (sobCDR), as a continuous outcome (regression). This is a key metric in dementia research and clinical trials, and scores range from 0 (no impairment) to 18 (severe impairment). To predict decline, we trained a …

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. …

Global-Local Feature Fusion: A Robust Hybrid Deep Learning Model For Multiclass Brain Tumor Classification With Grad-Cam++ Interpretation, Kirti Pant, Pijush Kanti Dutta Pramanik, Shahid Mohammad Ganie, Anindita Saha, Zhongming Zhao

Faculty, Staff and Student Publications

Background: Accurate classification of brain tumors in MRI scans is critical for effective clinical decision making, yet manual assessment is labor-intensive and subject to variability. Although deep learning models, particularly CNNs and Transformers, have shown potential, each architecture alone has limitations: CNNs excel at local feature extraction but lack global context awareness, while Transformers capture global relationships but may overlook fine-grained details.

Objectives: To develop a hybrid Transfer Learning-Transformer model that integrates CNN-driven local feature modeling with Transformer-based global reasoning to enhance multi-class brain tumor classification.

Methods: The proposed workflow comprises three stages: (1) benchmarking standalone CNN (ResNet50, VGG19, ConvNeXtBase, …

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 …

Outcomes Of Patients With Melanoma Brain Metastases Treated With Ipilimumab And Nivolumab With Or Without Upfront Comprehensive Stereotactic Radiosurgery, Troy J Kleber, Denái R Milton, Subhiksha Srinivasan, Bikash Panthi, Warren Floyd, Eric A Goethe, Michael A Davies, Hussein A Tawbi, Isabella C Glitza Oliva, Diana Kaya, Jing Li, Todd A Swanson, Subha Perni, Martin C Tom, Chenyang Wang, Sujit Prabhu, Jeffrey S Weinberg, Ian E Mccutcheon, Caroline Chung, Sherise D Ferguson, Thomas H Beckham

Faculty, Staff and Student Publications

Background: The efficacy of ipilimumab and nivolumab (ipi/nivo) for melanoma brain metastases (MBMs) has been previously reported, leading to uncertainty regarding the optimal role of comprehensive stereotactic radiosurgery (cSRS). We therefore conducted a single-institution retrospective study to compare outcomes of upfront versus deferred cSRS for MBM treated with ipi/nivo.

Methods: We identified patients who started ipi/nivo for newly diagnosed MBMs between 2018 and 2023, with or without upfront cSRS. Patients with >15 MBMs, leptomeningeal disease, or whole-brain radiotherapy at baseline were excluded. Outcomes were compared using multivariable regression and reported as adjusted hazard ratios (aHRs) with 95% CIs.

Results: Of …

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 …

Provgen: A Privacy-Preserving Approach For Outcome Validation In Genomic Research, Yuzhou Jiang, Tianxi Ji, Erman Ayday

Faculty, Staff and Student Publications

As genomic research has grown increasingly popular in recent years, dataset sharing has remained limited due to privacy concerns. This limitation hinders the reproducibility and validation of research outcomes, both of which are essential for identifying computational errors during the research process. In this paper, we introduce PROVGEN, a privacy-preserving method for sharing genomic datasets that facilitates reproducibility and outcome validation in genome-wide association studies (GWAS). Our approach encodes genomic data into binary space and applies a two-stage process. First, we generate a differentially private version of the dataset using an XOR-based mechanism tailored to biological characteristics. Second, we restore …

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 …

T Cells Modulate The Development And Maintenance Of Painful Paclitaxel-Induced Peripheral Neuropathy In Rnu Rats, Ahmed Olalekan Bakare, Gerard Limerick, Vasudha Goel, Ratan K Banik, Lei Zheng, Andrew J Shepherd, Kristine Glunde, Qin Zheng, Eellan Sivanesan

Faculty, Staff and Student Publications

The role of T cells in chemotherapy-induced peripheral neuropathy (CIPN) is complex and shaped by biological and experimental factors, including sex, hormonal status, genetic background, and cancer model. This complexity has contributed to inconsistent findings among studies, limiting therapeutic progress. In this study, we investigate how T cells contribute to painful paclitaxel (PTX)-induced peripheral neuropathy (PIPN). Adult male T cell-competent (RNU+/−) and T cell-deficient (RNU−/−) rats were subcutaneously inoculated with tumor cells and subsequently treated with intraperitoneal PTX (8 mg/kg total dose). Reflexive (mechanical, heat, cold) and non-reflexive (burrowing, gait) pain behaviors were assessed from baseline through week 6. Immunohistochemistry …

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 …

Recent Technological Advances In Monitoring And Neuromodulation Of Non-Malignant And Neurogenic Bladder Conditions, Chang Liu, Yifan Wang, Mario Romero-Ortega, Argyrios Stampas, Yingchun Zhang, Philippe Zimmern, Zhengwei Li

Faculty, Staff and Student Publications

Neurogenic bladder and lower urinary tract (LUT) dysfunctions encompass a wide variety of urinary disorders resulting from nervous system impairments. Unfortunately, conventional treatments are still limited and can have significant complication rates, especially when stent implantations or other surgical procedures are involved. Therefore, there is a critical need to develop novel therapeutic strategies and pharmacological approaches to address these challenging urological conditions. Recent technological advances offer promising solutions to overcome some of these challenges faced by patients with bladder and LUT dysfunction. This review summarizes recent progress in advanced urotechnologies, focusing on bladder monitoring and neuromodulation approaches, advanced medical instruments …

Evaluation Of Prophylactic Egd Versus Beta Blockade In Hepatocellular Carcinoma Patients On Anti-Angiogenic Cancer Treatments, Panayiotis D Kontoyiannis, Camila Ayerbe, Kok Hoe Chan, Sara Soliman, Victor Machicao, Julie H Rowe

Faculty, Staff and Student Publications

No abstract provided.

Cesarean Section Rates In Lucas Do Rio Verde, Brazil: Assessing The Impact Of Socioeconomic Status And Maternal And Neonatal Outcomes, Ramya Vemulapalli, Roni Arienti, Linder Wendt, Jay Brooks Jackson, Mary B Rysavy, Kimberly A Kenne

Faculty, Staff and Student Publications

Background

Brazil is globally known for its high rate of cesarean section despite endorsing the WHO’s current recommendation of 15%.

Objectives

Determine if socioeconomic status correlated with the rate of cesarean section (CS) at a mixed private and public hospital in the west-central region of Brazil. Describe the maternal and neonatal outcomes by mode of delivery (MOD) in the same population.

Design

Cohort study

Methods

Data from all delivering patients at São Lucas Hospital were collected during an 18-month period and analyzed. Demographics, baseline maternal health status, pregnancy and delivery information, maternal outcomes, and neonatal outcomes were entered into a …

Congenital Syphilis: From Near-Elimination To Crisis, Chad J Abresch, Irene A Stafford, Regan M Johnson, Kayode Olabanji, Ashleigh M Sutphen, Helen E Cejtin, Ashley Hoover

Faculty, Staff and Student Publications

This analytic essay examines the transformation of congenital syphilis (CS) in the United States from near-elimination to crisis. Drawing from the January 2025 Congenital Syphilis Summit in Atlanta, Georgia-convening public health leaders, Tribal health departments, the National Coalition of STD Directors, and Centers for Disease Control and Prevention experts-we contrast prevention systems during near-elimination (1998-2005) with the current crisis (2018-2025). Evidence revealed how dismantling public health infrastructure produced dramatically different outcomes, with CS cases increasing 937% over the past decade and racial/ethnic disparities worsening. American Indian/Alaska Native communities face rates up to 100 times higher than White populations in some …

Glaucoma Risk With Metformin And Sulfonylurea Therapies In Type 2 Diabetes: A Retrospective Cohort Study., Jared Lim, Jingru Zhou, Hulin Wu, Ziqi Liu, David A Lee

Faculty, Staff and Student Publications

Background: Research on metformin, sulfonylureas, and open-angle glaucoma risk in type 2 diabetes mellitus (T2DM) has yielded inconsistent findings. This study examined associations between hypoglycemic treatments and glaucoma diagnosis rates.

Methods: This retrospective cohort study analyzed electronic health records of newly diagnosed T2DM patients from the Merative™ Explorys® Therapeutic Dataset (2010-2022), comparing three groups: metformin monotherapy, sulfonylureas plus metformin combination, and untreated controls. Propensity score matching balanced demographics, glycemic control, body mass index, blood pressure, lipid levels, and comorbidities. Cox proportional hazards models calculated adjusted hazard ratios for incident glaucoma.

Results: After 1:1 propensity score matching, metformin monotherapy (N=100,387) showed …

Personalized Management Of Chronic Rhinosinusitis In The Context Of Immune Deficiency, Christopher M Bell, Amber U Luong, Chadi A Makary

Faculty, Staff and Student Publications

Primary and secondary immunodeficiency as a cause of recalcitrant or difficult to treat chronic rhinosinusitis (CRS) and recurrent acute rhinosinusitis (RARS) are under-appreciated etiologies. Patients with persistent symptoms, frequent exacerbations despite appropriate medical therapy, or other sinopulmonary conditions known to be related to an immunodeficient state warrant further testing for immunodeficiency, as up to 20% of this cohort of patients may have underlying immunodeficiency. Testing for immunodeficiency includes CBC with differential, immunoglobulin levels, and pneumococcal vaccine titres before and after administration. Regarding secondary immunodeficiency, these patients may present with atypical symptoms, harbor atypical bacteria, or even present with severe complications …

Circulating Biomarkers In Subjects With Progressive Pulmonary Fibrosis: Data From The Inbuild Trial, Toby M Maher, R Gisli Jenkins, Francesco Bonella, Shervin Assassi, Claudia Diefenbach, Carina Ittrich, Klaus B Rohr, Martin Kolb

Faculty, Staff and Student Publications

Background: We investigated the prognostic potential of circulating biomarkers at baseline and the effects of nintedanib on changes in these biomarkers in subjects with progressive pulmonary fibrosis (PPF).

Methods: In the INBUILD trial, subjects with PPF received nintedanib (n=332) or placebo (n=331). Associations between biomarker levels at baseline and the rate of forced vital capacity (FVC) decline (mL·year-1) over 52 weeks, time to interstitial lung disease (ILD) progression (absolute decline in FVC % predicted ≥10%) or death over 52 weeks, time to first acute exacerbation or death over the whole trial, and time to death over the whole trial were …

Erratum: Assessment Of Skin Fibrosis In A Murine Model Of Systemic Sclerosis With Multifunctional Optical Coherence Tomography (Erratum), Harshdeep Singh Chawla, Yanping Chen, Minghua Wu, Pavel Nikitin, Jessica Gutierrez, Chandra Mohan, Manmohan Singh, Salavat R Aglyamov, Shervin Assassi, Kirill V Larin

Faculty, Staff and Student Publications

This corrects the article "Assessment of skin fibrosis in a murine model of systemic sclerosis with multifunctional optical coherence tomography" in volume 30(3), 036007.

“Do Everything” Versus Realistic Surgical Interventions: Navigating The Road To Shared Decision-Making In Trauma Surgery, Victoria E Wagner, Ashna S Karpe, Martin L Blakely, Lillian S Kao, Thaddeus J Puzio

Faculty, Staff and Student Publications

"DO EVERYTHING!!" How many times have you heard that phrase from a distressed family member? We routinely receive this desperate plea, and our knee-jerk reaction is to press on, push harder, be more aggressive. We, as acute care surgeons, have spent our lives learning a craft geared towards "doing everything" to heal patients so this response comes naturally. However, how do we respond to "do everything" when the probability of a meaningful recovery is extremely low or non-existent? These situations create moral tension for surgeons who must reconcile the desire to preserve life with the obligation to avoid harm, respect …

Applications And Challenges Of Utilizing Digital Pathology And Ai-Enabled Workflows In Clinical Trials, Manu Sebastian, Harsh Batra, Monika Lamba Saini, Staci Kearney, Lorcan Sherry, Serge Alexanian, Michael Cohen, William Weber, Joe Lennerz, Anil V Parwani

Faculty, Staff and Student Publications

This is a comprehensive review on current utilization and challenges of digital pathology adoption in clinical trials and aims to provide a broad view on its impact on pathology review processes in clinical trials. It provides an overview of current pathology review practices in clinical trials and unique advantages digital pathology adoption can offer. The key areas including existing workflows, use case scenarios in different disease areas in clinical trials, including but not limited to patient identification and pre-screening, and regulatory aspects have been described with relevance. In addition, the review delves into the integration of genomics, AI, image analysis, …

Blood Flow Regulates Metabolism In Hematopoietic Development, Pamela L Wenzel

Faculty, Staff and Student Publications

Blood flow modifies oxygen availability and biomechanical forces within the vasculature of the embryo as the hematopoietic system develops. The aorta-gonad-mesonephros (AGM) envelops the largest artery in the body and is a critical site for the emergence of hematopoietic stem cells (HSCs). Herein, I discuss the role of hypoxia-inducible factors (HIFs) and force as determinants of metabolism and fate determination. To address the effects of blood flow on hematopoietic development, I employ mouse embryo models and biomimetic culture. Real-time cell metabolic analyses show that oxygen consumption rates (OCR) and extracellular acidification rates (ECAR) are altered by flow in cultures of …

Uncertainty-Guided Test-Time Optimization For Personalizing Segmentation Models In Longitudinal Medical Imaging, Jaehee Chun, Austin Castelo, Mckell Woodland, Caleb O'Connor, Mais Al Taie, Mohamed Eltaher, Aashish Gupta, Bilel Daoud, Shanli Ding, Jeddy Bennett, Anirban Maitra, Matthew A Firpo, Kimberly Kirkwood, Eugene J Koay, Kristy K Brock

Faculty, Staff and Student Publications

Background: Accurate and consistent image segmentation across longitudinal scans is essential in many clinical applications, including surveillance, treatment monitoring, and adaptive interventions. While personalized model adaptation using patient-specific prior scans has shown promise, current approaches typically rely on fixed training durations and lack mechanisms to determine optimal stopping points on a per-patient basis, particularly in the absence of validation labels.

Purpose: We propose an uncertainty-guided test-time optimization (TTO) framework that dynamically adjusts the personalization duration for each patient using a validation-free stopping criterion based on predictive uncertainty.

Methods: Our framework personalizes a generalized segmentation model using patient-specific prior imaging and …