Biomedical Informatics Commons^™

Defective Dna Damage Response Is A Targetable Therapeutic Vulnerability In Esr1 Mutant Breast Cancer, Sarah K Herzog, Jessica H Stevens, Guowei Gu, Sandra L Grimm, Kloma Cardoza, Autumn G M Hawkins, Hangqing Lin, Daniela Ramos, Amanda R Beyer, David G Edwards, Derek Dustin, Harry J Yang, Nicole Liang, Ashfia F Khan, Tasneem Bawa-Khalfe, Daniel J Mcgrail, Shiaw-Yih Lin, Cristian Coarfa, Suzanne A W Fuqua

Faculty, Staff and Student Publications

ESR1 mutations are the leading cause of endocrine therapy resistance and progression in ER-positive metastatic breast cancer. ESR1 mutations are detected in ~50% of metastatic breast cancer patients, and identification of effective targeted therapeutics are critically needed. Here, we identified enrichment of dysregulated replication stress and DNA damage responses in multiple ESR1 mutant models. Targeting the replication stress response utilizing checkpoint inhibition in combination with PARP inhibition synergistically suppressed growth, induced cell cycle arrest, and attenuated DNA replication. PARP inhibition blocked metastatic dissemination in vivo and reduced both PARP1 and ER-regulated protein expression. PARP trapping by olaparib treatment with or …

Knockrbp: An Integrated Multi-Omics Database Of Functional Perturbation Profiles For Rna-Binding Proteins, Mengyuan Yang, Jiawei Li, Jiajia Liu, Xingzheng Lu, Xiaobo Zhou, Yungang Xu

Faculty, Staff and Student Publications

RNA-binding proteins (RBPs) regulate diverse post-transcriptional processes, yet their functional impacts across multiple molecular layers remain incompletely characterized. KnockRBP (https://knockrbp.xu-bioinfo.com) is presented as a comprehensive, multi-omics database systematically cataloging regulatory changes resulting from genetic perturbation of RBPs. The resource integrates 1453 datasets from GEO, ENA, and ENCORE, encompassing RNA-seq, Ribo-seq, microRNA (miRNA)-seq, and 3'RACE-seq across 639 RBPs, 182 cell lines, and 61 diseases. Regulatory outcomes covered include alternative splicing, alternative polyadenylation, RNA editing, transcript abundance, translation efficiency, and miRNA expression, with all events processed through standardized analytical pipelines and annotated with open reading frame consequences, predicted loss-of-function impacts, and established …

Inhibition Of Gpx4 Induces The Death Of P53-Mutant Triple-Negative Breast Cancer Cells, William M Tahaney, Amanda Lanier, Jing Qian, Cassandra L Moyer, Nghi Nguyen, Yanxia Ma, Jamal Hill, Reid T Powell, Clifford C Stephan, Peter J A Davies, Abhijit Mazumdar, Powel H Brown

Faculty, Staff and Student Publications

Background: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by high rates of tumor protein 53 (TP53) mutation and with limited targeted therapies. Despite being clinically advantageous, direct targeting of mutant TP53 has been challenging. Therefore, we hypothesized that p53-mutant TNBC cells rely upon other potentially targetable survival pathways.

Methods: In vitro and in silico screens were used to identify drugs that induced preferential death in TP53-mutant cells. The effect of the ferroptosis inducer ML-162 was tested both in vitro and in vivo and the mechanism of cell death following ML-162 treatment or GPX4 knockout was …

Peripheral Nerve Injury Reduces Macrophage Efferocytosis To Facilitate Neuropathic Pain, Vipul K Pandey, Tusar K Acharya, Kendal F Willcox, Sandeep Dembla, Ajeena Ramanujan, Anamaria R Grieco, Younus A Zuberi, Rajasekaran Mahalingam, Andrew J Shepherd, Cobi J Heijnen, Peter M Grace

Faculty, Staff and Student Publications

For reasons not fully understood, proresolving immune processes sometimes fail to engage after peripheral nerve injury (PNI), leading to enhanced neuropathic pain and inflammation. Here, we implicate reduced efferocytosis due to proteolytic cleavage of surface MER tyrosine kinase (MERTK) from macrophages at the site of PNI. After PNI, the proportion of macrophages expressing MERTK progressively decreased, while soluble (cleaved) MER increased. Using male and female knock-in mice encoding cleavage-resistant Mertk, we demonstrated that cleavage of MERTK from macrophages at the PNI site led to exaggerated pain-related behaviors. PNI-induced hyperactivity of TRPV1+ sensory neurons and damage to myelin and myelinated …

Spatial2gwas: A Database For Linking Spatial Transcriptomic Regions With Gwas Traits, Xi Hu, Aoqi Wang, Huan Yu, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Spatial heterogeneity of gene expression within tissue regions has a critical influence on biological functions, thereby affecting disease pathogenesis. However, systematic associations between spatially resolved transcriptomes and phenotypes, especially in complex diseases, remain underexplored. Here, we developed spatial2GWAS (http://www.spatial2gwas.cn), a comprehensive resource linking spatial transcriptomic (ST) regions with GWAS traits. In the database, we collected 1196 ST slices (human and mouse) from five technologies and 812 GWAS traits spanning 18 phenotype categories and identified 29 701 ST slice-GWAS trait pairs containing 47 492 significant regions. Functional analyses reveal distinct patterns of cell type composition, gene expression, GO/KEGG pathway activation, and …

Correction: Sadagopan Et Al Reduced Computed Tomography Scan Speed Improves Alignment Errors For Patients Undergoing Thoracic Stereotactic Body Radiation Therapy, Ramaswamy Sadagopan, Rachael M Martin-Paulpeter, Christopher R Peeler, Xiaochun Wang, Paige Nitsch, Julianne M Pollard-Larkin

Faculty, Staff and Student Publications

In the original publication [...].

Modality-Agnostic, Patient-Specific Digital Twins Modeling Temporally Varying Digestive Motion, Jorge Tapias Gomez, Nishant Nadkarni, Lando S Bosma, Jue Jiang, Ergys D Subashi, William P Segars, James M Balter, Mert R Sabuncu, Neelam Tyagi, Harini Veeraraghavan

Faculty, Staff and Student Publications

No abstract provided.

Neuronal Subtype Governs Amyloid Structure, Cellular Response, And Cognitive Outcome In Genetically Targeted App Mouse Models, Gabriella A Perez, Zoe Lai, George A Edwards Iii, Jacob M Dundee, Shannon N Leahy, Chuangye Qi, Yanyan Qi, Ye-Jin Park, Tzu-Chiao Lu, M Danish Uddin, Rong Zhao, Hui Zheng, Hongjie Li, Joanna L Jankowsky

Faculty, Staff and Students Publications

Pathological heterogeneity is increasingly appreciated in Alzheimer’s disease, yet we do not know how distinct aggregate conformations arise or influence cognitive outcomes. In an amyloid mouse model, we found that different brain regions formed structurally distinct Aβ deposits, prompting us to test whether neuronal subtypes shape aggregate conformation. To address this, we created transgenic mice expressing the same APP construct in either glutamatergic or GABAergic neurons. APP expression in GABAergic neurons resulted in diffuse plaques with high Aβ42/Aβ40 ratios and minimal gliosis, while glutamatergic expression produced neuritic plaques with activated glia. Despite similar Aβ levels, only mice with neuritic plaques …

A Prognostic Matrix Gene Expression Signature Defines Functional Glioblastoma Phenotypes And Niches, Monika Vishnoi, Zeynep Dereli, Zheng Yin, Elisabeth K Kong, Meric Kinali, Kisan Thapa, Ozgun Babur, Kyuson Yun, Nourhan Abdelfattah, Xubin Li, Behnaz Bozorgui, Mary C Farach-Carson, Robert C Rostomily, Anil Korkut

Faculty, Staff and Student Publications

Interactions among tumor, immune, and vascular niches play major roles in glioblastoma (GBM) malignancy and treatment responses. The composition and heterogeneity of extracellular core matrix proteins (CMPs) that mediate such interactions are not well understood. Here, we present an analysis of the clinical relevance of CMP expression in GBM at bulk, single-cell, and spatial anatomical resolution. We show that CMP enrichment is associated with worse patient survival, specific driver oncogenic alterations, mesenchymal state, pro-tumor immune infiltration, and immune checkpoint expression. Matrisome expression is enriched in vascular and leading edge/infiltrative niches that are known to harbor glioma stem cells. Finally, we …

Precision Targeting Of Sting: Challenges, Innovations, And Clinical Outlook For Cancer Therapy, Jiaqi Shi, Yingying Zhang, Na Zhao, Ekihiro Seki, Li Ma, Gordana Kocic, Xiaobo Li, Janoš Terzić, Tongsen Zheng

Faculty, Staff and Student Publications

The stimulator of interferon genes (STING) pathway plays a crucial role in immune responses and has emerged as a compelling target in cancer therapy. Despite promising preclinical studies, clinical trials of STING agonists have largely failed to deliver durable efficacy, with no agents progressing to phase III trials. This review examines the biological, pharmacological, and clinical barriers limiting STING pathway activation in cancer treatment. We discuss the inherent limitations of STING agonists as well as host-related resistance driven by tumor heterogeneity, immune suppression, and chronic STING activation. Mechanisms of acquired resistance, such as immune checkpoint upregulation and suppression of effector …

International Guidelines On The Diagnosis And Treatment Of Nut Carcinoma, Yu Zhang, Qi Zhang, Yue Hao, Jia Luo, Yingshi Piao, Wenxian Wang, Zhengbo Song, Ziming Li, Luka Brcic, Aijun Liu, Jinpu Yu, Yasuhiro Tsutani, Wenzhao Zhong, Wenfeng Fang, Zhijie Wang, Shengxiang Ren, Athanasios G Papavassiliou, Yongchang Zhang, Jingjing Liu, Shirong Zhang, Xiuyu Cai, Ayten Kayi Cangir, Anwen Liu, Wen Li, Filippo Lococo, Ping Zhan, Hongbing Liu, Tangfeng Lv, Liyun Miao, Lingfeng Min, Helmut Popper, Yu Chen, Jingping Yuan, Feng Wang, Zhansheng Jiang, Gen Lin, Long Huang, Xingxiang Pu, Rongbo Lin, Kalevi Kairemo, Weifeng Liu, Chuangzhou Rao, Dongqing Lv, Zongyang Yu, Ashrafian Leanne, Xiaoyan Li, Chuanhao Tang, Hifzur R Siddique, Chengzhi Zhou, Junping Zhang, Junli Xue, Vishal Shelat, Hui Guo, Qian Chu, Rui Meng, Fatemeh Ardeshir, Jingxun Wu, Rui Zhang, Jin Zhou, Robert A Kratzke, Zhengfei Zhu, Yongheng Li, Hong Qiu, Fan Xia, Fiorella Calabrese, Yang Xia, Alessandro Wasum Mariani, Yuanyuan Lu, Xiaofeng Chen, Mark A Klein, Rui Ge, Enyong Dai, Axel H Schönthal, Yu Han, Zhenying Guo, Jian Zhang, Yinghua Ji, Xianbin Liang, Hongmei Zhang, Xuelei Ma, Marco Chiappetta, Xuewen Liu, Francoise Galateau Salle, Yu Yao, Malgorzata Szolkowska, Weiwei Pan, Fei Pang, Fan Wu, Stefan B Watzka, Liping Wang, Youcai Zhu, Li Lin, Aparna Sharma, Jianfei Tu, Xinqing Lin, Jing Cai, Ling Xu, Jisheng Li, Xiaodong Jiao, Kainan Li, Marjorie G Zauderer, Jia Wei, Huijing Feng, Lin Wang, Yingying Du, Wang Yao, Elizabeth Dudnik, Xuefei Shi, Xiaomin Niu, Dongmei Yuan, Yanwen Yao, Jianhui Huang, Yue Feng, Yinbin Zhang, Binbin Song, Wenfeng Li, Jianfei Fu, Marina K Baine, Pingli Sun, Hong Wang, Mingxiang Ye, Dong Wang, Zhaofeng Wang, Jing Wu, Yunyun Yang, Yuan Fang, Zhen Wang, Bin Wan, Donglai Lv, Huafei Chen, Shengjie Yang, Jing Kang, Jiatao Zhang, Chao Zhang, Lin Shi, Yina Wang, Mohamed Emam Sobeih, Bihui Li, Bin Lian, Lili Mao, Zhang Zhang, Ke Wang, Zhongwu Li, Zhefeng Liu, Nong Yang, Lin Wu, Xiaobing Chen, Gu Jin, Miao Li, Guansong Wang, Thomas U Marron, Jiandong Wang, Sanjay Popat, Meiyu Fang, Yong Fang, Daniel Mansilla, Yuan Li, Xiaojia Wang, Jing Chen, Yiping Zhang, Xixu Zhu, Yi Shen, Shenglin Ma, Aaron S Mansfield, Biyun Wang, Lu Si, Anja C Roden, Bjørn H Grønberg, Yong Song, Geoffrey I Shapiro, Christopher A French, Yuanzhi Lu, Qian Wang, Chunwei Xu

Faculty, Staff and Student Publications

Nuclear protein in testis (NUT) carcinoma (NC) represents a rare, clinically aggressive cancer defined by pathognomonic NUT Midline Carcinoma Family Member 1 (NUTM1) gene fusions, with bromodomain and extraterminal domain (BET) protein 4 (BRD4)-NUTM1 being the predominant oncogenic driver. Since its description in 1991, gradual advances have clarified the pathologic mechanisms of NC and its diagnostic methods; however, NC treatment remains a significant challenge. Moreover, diagnostic and treatment approaches for this cancer require further validation and standardization. These guidelines were developed by the Chinese Alliance of Research for NC (ChARN) based on current evidence in …

Vacmap: An Accurate Long-Read Aligner For Unraveling Complex Genomic Rearrangements, Hongyu Ding, Fritz J Sedlazeck, Christos Proukakis, Caoimhe Morley, Marco Toffoli, Anthony Hv Schapira, Zhirui Liao, Lianrong Pu, Shanfeng Zhu

Faculty, Staff and Students Publications

Sequence alignment is essential for genomic research and clinical diagnostics, yet detecting complex rearrangements such as inversions, duplications, and gene conversions remains challenging due to allele complexity and limitations of current methods. We introduce VACmap, a non-linear mapping approach to enhance the detection and representation of all genetic variations. VACmap improves duplication detection from 20% to 90% in the Challenging Medically-Relevant Genes (CMRG) benchmark and improves characterization of complex inversions in repetitive regions and gene conversion events. It improves resolving clinically significant loci, including the LPA gene (with repetitive KIV-2 units linked to coronary heart disease), GBA1 and STRC genes …

Celltra: Aligning Cell Names With Gene Expression Via A Pathway-Informed Transformer, Zhao Li, Zaiyi Zheng, Rongbin Li, Wenbo Chen, Yuntao Yang, Meer A Ali, Jundong Li, W Jim Zheng

Faculty, Staff and Student Publications

Motivation: Single-cell RNA sequencing (scRNA-Seq) technology enables detailed exploration of gene expression at the individual cell level, crucial for annotating cell types and understanding cellular diversity. Traditional methods for cell type annotation often rely on marker genes and manual labeling, posing challenges due to low data quality and incomplete reference datasets.

Results: We developed CeLLTra, a novel contrastive learning framework that leverages a Transformer-based model integrating biological pathway information to group genes into super tokens, effectively capturing comprehensive gene expression from scRNA-Seq data. By combining this pathway-informed Transformer with a pretrained domain-specific language model, CeLLTra accurately aligns cell-type annotations with …

Machine Learning Models Predict Long Covid Outcomes Based On Baseline Clinical And Immunologic Factors, Naresh Doni Jayavelu, Hady Samaha, Sonia Tandon Wimalasena, Annmarie Hoch, Jeremy P Gygi, Gisela Gabernet, Al Ozonoff, Shanshan Liu, Carly E Milliren, Ofer Levy, Lindsey R Baden, Esther Melamed, Lauren I R Ehrlich, Grace A Mccomsey, Rafick P Sekaly, Charles B Cairns, Elias K Haddad, Joanna Schaenman, Albert C Shaw, David A Hafler, Ruth R Montgomery, David B Corry, Farrah Kheradmand, Mark A Atkinson, Scott C Brakenridge, Nelson I Agudelo Higuit, Jordan P Metcalf, Catherine L Hough, William B Messer, Bali Pulendran, Kari C Nadeau, Mark M Davis, Linda N Gen, Ana Fernandez Sesma, Viviana Simon, Florian Krammer, Monica Kraft, Chris Bime, Carolyn S Calfee, David J Erle, Charles R Langelier, Leying Guan, Holden T Maecker, Bjoern Peters, Steven H Kleinstein, Elaine F Reed, Alison D Augustine, Joann Diray-Arce, Patrice M Becker, Nadine Rouphael, Matthew C Altman

Faculty, Staff and Students Publications

Background: The post-acute sequelae of SARS-CoV-2 (PASC), also known as long COVID, remain a significant health issue that is incompletely understood. Predicting which acutely infected individuals will develop long COVID is challenging due to the absence of established biomarkers, clear disease mechanisms, or well-defined sub-phenotypes. Machine learning (ML) models may address this gap by leveraging clinical data to enhance diagnostic precision.

Methods: Clinical data, including antibody titers and viral load measurements collected at the time of hospital admission, are used to predict the likelihood of acute COVID-19 progressing to long COVID. Machine learning models are trained and evaluated for predictive …

Circadian-Shaped Immune Variability Predicts Infection Outcome, Jonathan Lalsiamthara, Mariko Locke, Alejandro Aballay

Faculty, Staff and Student Publications

Disease risk and severity are influenced by genetics, epigenetics, and environmental factors. However, immune responses vary even among genetically similar or related individuals, shaped by inherited and noninherited factors. Using Caenorhabditis elegans, we found that pathogen susceptibility can be predicted by preinfection biomarkers. Individuals with high-basal expression of irg-5, an infection response gene regulated by the p38 mitogen-activated protein kinase-1 (PMK-1) pathway, were more susceptible to Pseudomonas aeruginosa infection. A genome-wide screen identified the myeloid ecotropic viral integration site-1 (MEIS) homeobox protein UNC-62 as a regulator of irg-5 expression, acting through PMK-1 and GATA binding erythroid-like transcription factor …

Cholesterol Efflux Protein, Abca1, Supports Anticancer Functions Of Myeloid Immune Cells, Shruti V Bendre, Yu Wang, Basel Hajyousif, Rajendra K C, Shounak G Bhogale, Dhanya Pradeep, Natalia Krawczynska, Claire P Schane, Erin Weisser, Avni Singh, Simon Han, Hannah Kim, Lara Kockaya, Anasuya Das Gupta, Adam T Nelczyk, Hashni Epa Vidana Gamage, Yifan Fei, Desirée Rodríguez-Casiano, Xingyu Guo, Haoyun Li, Ryan J Deaton, Fei Mo, Maria Sverdlov, Peter H Gann, Saurabh Sinha, Sahil Sahni, Kun Wang, Kevin Van Bortle, Emad Tajkorshid, Wendy A Woodward, Wonhwa Cho, Erik R Nelson

Faculty, Staff and Student Publications

Breast and other solid tumors respond poorly to immune therapy. Myeloid cells (MCs) such as macrophages contribute to resistance. Established clinical evidence links cholesterol to cancer outcomes, with MC function being regulated by cholesterol metabolism. We screened MC-expressed regulators of cholesterol homeostasis linked to survival and identified the cholesterol efflux protein ABCA1. ABCA1 activity increases anticancer functions of macrophages: enhancing tumor infiltration, decreasing angiogenic potential, reducing efferocytosis, and improving support of CD8+ T cell activity. Mechanistically, different AKT isoforms are involved, through both PI3K-dependent and PI3K-independent mechanisms. Highlighting the clinical relevance of our findings are correlations between ABCA1 in macrophages …

Nf2 Loss Malignantly Transforms Human Pancreatic Acinar Cells And Enhances Cell Fitness Under Environmental Stress, Yi Xu, Michael H Nipper, Angel A Dominguez, Chenhui He, Francis E Sharkey, Sajid Khan, Han Xu, Daohong Zhou, Lei Zheng, Yu Luan, Jun Liu, Pei Wang

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) occurs as a complex, multifaceted event driven by the interplay of tumor-permissive genetic mutations, the nature of the cellular origin, and microenvironmental stress. In this study, using primary human pancreatic acinar 3D organoids, we performed a CRISPR-KO screen targeting 199 potential tumor suppressors curated from clinical PDAC samples. Our data revealed significant enrichment of a list of candidate genes, with neurofibromatosis type 2 associated gene (NF2) emerging as the top target. Functional validation confirmed that loss of NF2 promoted the transition of PDAC to an invasive state, potentially through extracellular matrix modulation. NF2 inactivation …

Racial, Ethnic, And Socioeconomic Survival Disparities In Early-Onset Metastatic Colorectal Cancer, Jennifer S Wang, Benny Johnson, Caitlin C Murphy

Faculty, Staff and Student Publications

Importance: Rates of metastatic colorectal cancer (mCRC) are rising among young adults. Disparities by race and ethnicity and neighborhood-level socioeconomic status (SES) among this population are understudied.

Objective: To examine the association of race and ethnicity and neighborhood-level SES with mortality among a community-based sample of young adults with mCRC.

Design, setting, and participants: This cohort study used a large electronic health record-derived database of young adults with cancer treated at 280 community-based US clinics between 2013 and 2021. Eligible patients were young adults aged 18 to 49 years diagnosed with de novo or recurrent mCRC. Patients were followed up …

Public Support For Alcohol-Control Policies And Political Ideology In The Us, Joël Fokom Domgue, Robert Yu, Ernest Hawk, Sanjay Shete

Faculty, Staff and Student Publications

This cross-sectional study examines the role of US adults’ political affiliation, perception about alcohol use and cancer, and sociodemographic and behavioral factors in banning outdoor alcohol advertising and adding cancer warnings on alcohol containers.

Peroxisomal Integrity In Demyelination-Associated Microglia Enables Cellular Debris Clearance And Myelin Renewal In Mice, Joseph A Barnes-Vélez, Xiaohong Zhang, Yaren L Peña Señeriz, Kiersten A Scott, Yinglu Guan, Jian Hu

Faculty, Staff and Student Publications

Demyelination associated microglia (DMAM) orchestrate the regenerative response to demyelination by clearing myelin debris and promoting oligodendrocyte maturation. Peroxisomal metabolism has emerged as a candidate regulator of DMAMs, though the cell-intrinsic contribution in microglia remains undefined. Here we elucidate the role of peroxisome integrity in DMAMs, using cuprizone-mediated demyelination coupled with conditional KO of peroxisome biogenesis factor 5 (PEX5) in microglia. Absent demyelination, PEX5 conditional KO (PEX5cKO) had minimal impact on homeostatic microglia. However, during cuprizone-induced demyelination, the emergence of DMAMs unmasked a critical requirement for peroxisome integrity. At peak demyelination, PEX5cKO DMAMs exhibited increased lipid droplet burden and reduced …

Evaluating The Impact Of Proactive Rounding On Early Recognition And Rapid Response, Alicia Mcintosh

Doctor of Nursing Practice Final Project Abstract

Purpose: This quality improvement project evaluated the impact of a Rapid Response Team (RRT)-led proactive rounding model on the early recognition of clinical deterioration and selected patient outcomes.

Background: Delays in recognizing clinical deterioration contribute to preventable adverse events, highlighting the need for proactive strategies to support early identification and timely intervention. To address this need, the project was implemented on a 36-bed intermediate care unit at a community medical center in Southeast United States.

Methodology: Guided by the Plan-Do-Study-Act framework, the project used a six-week pre-post intervention in which an Advanced Practice Provider (APP) conducted proactive rounds on patients …

Accelerating Ai Innovation In Healthcare: Real-World Clinical Research Applications On The Mayo Clinic Platform, Yue Yu, Xinyue Hu, Sivaraman Rajaganapathy, Jingna Feng, Ahmed Abdelhameed, Xiaodi Li, Jianfu Li, Xiaoke Liu, Liu Yang, Nilüfer Ertekin-Taner, Phil Fiero, Soulmaz Boroumand, Richard Larsen, Maneesh Goyal, Clark C Otley, Nansu Zong, Vijay H Shah, John D Halamka, Cui Tao

Faculty, Staff and Student Publications

Artificial intelligence (AI) holds promise for healthcare, but real-world implementation remains difficult. The Mayo clinic platform (MCP) addresses this by providing scalable, multi-institutional, de-identified data and analytical tools. Through four research projects, we demonstrate MCP's ability to support efficient cohort identification, AI model development, and real-world evidence generation. MCP enables broader accessibility and standardization compared to institutional EHRs, positioning it as a powerful platform for advancing translational research and precision medicine.

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 …

Clinical Outcomes With Perioperative Nivolumab By Nodal Status In Patients With Stage Iii Resectable Nsclc: Phase 3 Checkmate 77t Exploratory Analysis, Mariano Provencio, Mark M Awad, Jonathan D Spicer, Annelies Janssens, Fedor Moiseyenko, Yang Gao, Yasutaka Watanabe, Aurelia Alexandru, Florian Guisier, Nikolaj Frost, Fabio Franke, T Jeroen Nicolaas Hiltermann, Jie He, Fumihiro Tanaka, Shun Lu, Cinthya Coronado Erdmann, Padma Sathyanarayana, Phuong Tran, Vipul Devas, Tina Cascone

Faculty, Staff and Student Publications

Individuals with non-small-cell lung cancer (NSCLC) with metastases to the ipsilateral mediastinum or subcarinal lymph nodes (N2 disease) have poor long-term survival. This exploratory analysis from the randomized phase 3 CheckMate 77T study assessed clinical outcomes by nodal status in individuals with stage III NSCLC who received neoadjuvant nivolumab plus chemotherapy followed by surgery and adjuvant nivolumab (nivolumab) versus neoadjuvant chemotherapy followed by surgery and adjuvant placebo (placebo). Here we show that among patients with N2 disease, nivolumab versus placebo improved event-free survival (1-year rate, 70% versus 45%; hazard ratio, 0.46 (95% confidence interval, 0.30–0.70)) and pathological complete response rate …

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 …

Dietetic Guidance For Nutritional Management Of People With Phenylketonuria Receiving Sepiapterin, Anita Macdonald, Kirsten Ahring, Alexa Bledsoe, Hiroki Fujimoto, Sara Giorda, Christian Kogelmann, Jessica Kopesky, Laura Nagy, Sara O'Neill, Alex Pinto, Soraia Poloni, Paige Roberts, Annemiek M J Van Wegberg, Suzanne Hollander

Faculty, Staff and Student Publications

Background/objectives: Phenylketonuria (PKU) is an autosomal recessive inborn error of metabolism. If untreated, elevated blood phenylalanine (Phe) levels lead to neurological and behavioral impairments. Phe levels can be managed through a lifelong Phe-restricted diet; however, this can be challenging to maintain. Sepiapterin is an adjunct therapy for PKU that has shown efficacy in reducing blood Phe levels in both tetrahydrobiopterin (BH4)-responsive and BH4-non-responsive people with PKU in clinical trials. Practical guidance is needed for dietitians and other healthcare professionals supporting the dietary management of people with PKU who are initiating or receiving sepiapterin.

Methods: A group of international dietitians participated …

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 …