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Spectrum Of Congenital Anomalies Detected Through Anatomy Ultrasound At A Referral Hospital In Ghana, Alim Swarray-Deen, Morgan Yapundich, Sarah Boudova, Kwaku Doffour-Dapaah, Jeff Osei-Agyapong, Perez Sepenu, Alex K. Boateng, Teresa A. Mensah, Patrick Anum, Nana Essuman Oduro, Theophilus Adu-Bredu, Promise E. Sefogah, Jerry Coleman, Samuel A. Oppong Apr 2025

Spectrum Of Congenital Anomalies Detected Through Anatomy Ultrasound At A Referral Hospital In Ghana, Alim Swarray-Deen, Morgan Yapundich, Sarah Boudova, Kwaku Doffour-Dapaah, Jeff Osei-Agyapong, Perez Sepenu, Alex K. Boateng, Teresa A. Mensah, Patrick Anum, Nana Essuman Oduro, Theophilus Adu-Bredu, Promise E. Sefogah, Jerry Coleman, Samuel A. Oppong

Department of Obstetrics and Gynecology Faculty Papers

BACKGROUND: Africa has a high burden of congenital anomalies due in part to limited preconception care, infections, and environmental exposures. However, the true prevalence of congenital anomalies is unclear because of insufficient access to prenatal diagnostic services. We aimed to determine the rate of congenital anomalies, and characterize the anomalies detected prenatally at a referral hospital in Ghana.

METHODS: We performed a four-year retrospective review of all fetal anomaly ultrasounds performed and congenital anomalies detected from January 1st, 2020, to December 31st, 2023, at Korle Bu Teaching Hospital, Accra, Ghana. Data were extracted from the electronic database on maternal age, …


The Dynamic Immune Behavior Of Primary And Metastatic Ovarian Carcinoma, Elaine Stur, Fuduan Peng, Pang-Ning Teng, Emine Bayraktar, Min Hu, Sara Corvigno, David J Brown, Sanghoon Lee, Kathleen N Moore, Nicholas W Bateman, Kathleen M Darcy, George L Maxwell, Thomas P Conrads, Nidhi Sahni, Ignacio Vázquez-García, Sohrab P Shah, Joseph Celestino, Nicole D Fleming, Nicholas E Navin, Linghua Wang, Anil K Sood Apr 2025

The Dynamic Immune Behavior Of Primary And Metastatic Ovarian Carcinoma, Elaine Stur, Fuduan Peng, Pang-Ning Teng, Emine Bayraktar, Min Hu, Sara Corvigno, David J Brown, Sanghoon Lee, Kathleen N Moore, Nicholas W Bateman, Kathleen M Darcy, George L Maxwell, Thomas P Conrads, Nidhi Sahni, Ignacio Vázquez-García, Sohrab P Shah, Joseph Celestino, Nicole D Fleming, Nicholas E Navin, Linghua Wang, Anil K Sood

Faculty, Staff and Student Publications

Patients with high-grade serous ovarian carcinoma (HGSC) are usually diagnosed with advanced-stage disease, and the tumors often have immunosuppressive characteristics. Together, these factors are important for disease progression, drug resistance, and mortality. In this study, we used a combination of single-cell sequencing and spatial transcriptomics to identify the molecular mechanisms that lead to immunosuppression in HGSC. Primary tumors consistently showed a more active immune microenvironment than did omental tumors. In addition, we found that untreated primary tumors were mostly populated by dysfunctional CD4 and CD8 T cells in later stages of differentiation; this, in turn, was correlated with expression changes …


A Pioneering Artificial Intelligence Tool To Predict Treatment Outcomes In Ovarian Cancer Via Diagnostic Laparoscopy, Xiaotian Ma, Yu-Chun Hsu, Amma Asare, Kai Zhang, Deanna Glassman, Katelyn F Handley, Katherine Foster, Khwahish Sharma, Shannon Westin, Amir Jazaeri, Nicole D Fleming, Pratip K Bhattacharya, Xiaoqian Jiang, Anil K Sood, Shayan Shams Apr 2025

A Pioneering Artificial Intelligence Tool To Predict Treatment Outcomes In Ovarian Cancer Via Diagnostic Laparoscopy, Xiaotian Ma, Yu-Chun Hsu, Amma Asare, Kai Zhang, Deanna Glassman, Katelyn F Handley, Katherine Foster, Khwahish Sharma, Shannon Westin, Amir Jazaeri, Nicole D Fleming, Pratip K Bhattacharya, Xiaoqian Jiang, Anil K Sood, Shayan Shams

Faculty, Staff and Student Publications

Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assessment of tumor localization can be used for treatment planning in newly diagnosed high-grade serous ovarian carcinoma (HGSOC). While spread to multiple intra-abdominal areas is correlated with worse outcomes, whether other morphological tumor differences are also associated with patient outcomes is unknown. Given the large volume of visual information in laparoscopic videos, we investigated whether deep-learning models can capture implicit features and predict treatment outcomes. We developed a novel deep-learning framework using pre-treatment laparoscopic images to assess clinical outcomes following upfront standard treatment, defined as short progression-free …


Hepatic Manifestations Following Gene Therapy, Akash Roy, Shalini Bansal, Anand Kulkarni, K. Rajender Reddy Apr 2025

Hepatic Manifestations Following Gene Therapy, Akash Roy, Shalini Bansal, Anand Kulkarni, K. Rajender Reddy

SKMC Student Presentations and Publications

Gene therapy involves the introduction of genetic materials, most commonly using viral vectors, to alter gene expression to ameliorate or cure disease symptoms with minimal adverse events. While interest in gene therapy has been on the increase, concerns have arisen about the potential for hepatotoxicity, which arises from diverse mechanisms. While viral vectors can produce dose-dependent hepatotoxicity secondary to integration, immune responses appear to be the primary driving mechanism. A mild increase in aminotransferases is the most common hepatic manifestation, occurring variably in 20%-80%, while there has been rare progress to acute liver failure. The occurrence of hepatotoxicity is unpredictable …


A Hybrid Deep Learning-Based Approach For Visual Field Test Forecasting, Ashkan Abbasi, Sowjanya Gowrisankaran, Wei-Chun Lin, Xubo Song, Bhavna Josephine Antony, Gadi Wollstein, Joel Schuman, Hiroshi Ishikawa Apr 2025

A Hybrid Deep Learning-Based Approach For Visual Field Test Forecasting, Ashkan Abbasi, Sowjanya Gowrisankaran, Wei-Chun Lin, Xubo Song, Bhavna Josephine Antony, Gadi Wollstein, Joel Schuman, Hiroshi Ishikawa

Wills Eye Hospital Papers

OBJECTIVE: Longitudinal assessment of visual field (VF) testing is essential in glaucoma management. Conventional VF forecasting methods require numerous prior tests, while deep learning techniques have shown promising results with fewer tests. This study introduces a hybrid deep learning framework to enhance flexibility and accuracy in VF test forecasting.

DESIGN: A retrospective longitudinal study using deep learning-based VF forecasting models.

SUBJECTS AND CONTROLS: A total of 1750 subjects (healthy and glaucoma patients) with 19 437 Humphrey VF (24-2 Swedish Interactive Threshold Algorithm) tests collected from longitudinal glaucoma cohorts at the University of Pittsburgh and New York University.

METHODS: Three deep …


High-Grade Astrocytoma With Piloid Features: A Single-Institution Case Series And Literature Review, Eric A Goethe, Subhiksha Srinivasan, Swaminathan Kumar, Sujit S Prabhu, Maria A Gubbiotti, Sherise D Ferguson Apr 2025

High-Grade Astrocytoma With Piloid Features: A Single-Institution Case Series And Literature Review, Eric A Goethe, Subhiksha Srinivasan, Swaminathan Kumar, Sujit S Prabhu, Maria A Gubbiotti, Sherise D Ferguson

Faculty, Staff and Student Publications

High-grade astrocytoma with piloid features (HGAP) is a recently described primary brain tumor and the first requiring a specific methylation pattern for diagnosis, as its histologic features are often compatible with other tumors such as glioblastoma (GBM). Characterized by molecular alterations in CDKN2A/B, NF1, BRAF, FGFR1, and ATRX, they may be located anywhere in the CNS but show a predilection for the posterior fossa. Reports are limited to retrospective case series, and the standard of care is not yet established. We performed a retrospective review of electronic medical records of all patients with HGAP at our institution. Records were queried …


Is There A Role Of Adding Defibrillation To Cardiac Resynchronization Therapy For Primary Prevention In Patients With Heart Failure And Reduced Ejection Fraction?, Hong Yee Lim, Yew Chung Chan, Wee Lee Chin, Soot Keng Ma Apr 2025

Is There A Role Of Adding Defibrillation To Cardiac Resynchronization Therapy For Primary Prevention In Patients With Heart Failure And Reduced Ejection Fraction?, Hong Yee Lim, Yew Chung Chan, Wee Lee Chin, Soot Keng Ma

Journal of the Hong Kong College of Cardiology

Heart failure with reduced ejection fraction (HFrEF) is a major global health concern, and the mortality rate remains high despite advances in medical and device therapies. Cardiac resynchronization therapy with a pacemaker (CRT-P) and implantable cardioverter-defibrillator (ICD) therapies have demonstrated efficacy in improving outcomes for patients with heart failure, but their roles in combination for primary prevention remain under ongoing investigation. This review explores the current literature on the role of adding defibrillation to CRT for primary prevention in HFrEF patients. We examine key studies, mechanisms of action, and clinical outcomes to evaluate the benefits, risks, and future directions of …


Sleep Deprivation Increases Mortality Risk Among Older Adults With Epilepsy, Srikanta Banerjee, Jagdish Khubchandani, Stanley Nkemjika Apr 2025

Sleep Deprivation Increases Mortality Risk Among Older Adults With Epilepsy, Srikanta Banerjee, Jagdish Khubchandani, Stanley Nkemjika

Department of Psychiatry and Human Behavior Faculty Papers

Introduction: Among U.S. adults, over 3 million report a history of epilepsy, accounting for nearly 1.2% of the population. Sleep deprivation is a well-known risk factor for increased likelihood, intensity, and length of seizures. However, the long-term impact of sleep deprivation on people with epilepsy is not well explored. The purpose of this study was to assess mortality risk among individuals with epilepsy based on sleep duration.

Methods: Data from the 2008–2018 National Health Interview Survey (NHIS) were linked with mortality data from the National Death Index (NDI) for US adults aged 65 years and older. Survival curves showed the …


Virtual Reality-Enhanced Rehabilitation For Improving Musculoskeletal Function And Recovery After Trauma, Phani Paladugu, Rahul Kumar, Joshua Ong, Ethan Waisberg, Kyle Sporn Apr 2025

Virtual Reality-Enhanced Rehabilitation For Improving Musculoskeletal Function And Recovery After Trauma, Phani Paladugu, Rahul Kumar, Joshua Ong, Ethan Waisberg, Kyle Sporn

SKMC Student Presentations and Publications

Orthopedic trauma remains a critical challenge in modern healthcare, often resulting in severe mobility limitations, acute pain, and delayed recovery. Conventional rehabilitation techniques, though effective, fail to address the individualized, high-precision interventions needed for musculoskeletal injuries like fractures, joint instability, ligament tears, and muscular atrophy. Virtual reality (VR) technologies, such as Apple Vision Pro and HTC Vive Pro, offer a transformative approach by enhancing diagnostic precision, rehabilitation effectiveness, and patient engagement through interactive, immersive environments that improve clinical outcomes. These VR technologies provide real-time biomechanical data, such as joint mechanics, muscle coordination, and movement patterns, allowing clinicians to design personalized …


Use Of Procalcitonin In Therapeutic Decisions In The Pediatric Intensive Care Unit, Pierre Tissières, Elisabeth Esteban Torné, Johannes Hübner, Adrienne Randolph, Corsino Rey Galán, Scott Weiss Apr 2025

Use Of Procalcitonin In Therapeutic Decisions In The Pediatric Intensive Care Unit, Pierre Tissières, Elisabeth Esteban Torné, Johannes Hübner, Adrienne Randolph, Corsino Rey Galán, Scott Weiss

Department of Medicine Faculty Papers

Procalcitonin (PCT) is frequently used by clinicians in children with suspected bacterial infections and sepsis. However interpretation in the critically ill child may be challenging due to the complexity of underlying conditions and its impact on PCT values. Herein, we propose a guidance for the use of procalcitonin in critically ill children, supported by a comprehensive analysis of the literature, to help the clinician for interpreting PCT in the various clinical conditions encountered in pediatric intensive care units. We describe the importance of the clinical context, timing of measurement and evidence on PCT values in diagnosing sepsis and to guide …


Inhibition Of Soluble Epoxide Hydrolase Confers Neuroprotection And Restores Microglial Homeostasis In A Tauopathy Mouse Model, Shuo Wang, Chuangye Qi, Chetan Rajpurohit, Baijayanti Ghosh, Wen Xiong, Baiping Wang, Yanyan Qi, Sung Hee Hwang, Bruce D Hammock, Hongjie Li, Li Gan, Hui Zheng Apr 2025

Inhibition Of Soluble Epoxide Hydrolase Confers Neuroprotection And Restores Microglial Homeostasis In A Tauopathy Mouse Model, Shuo Wang, Chuangye Qi, Chetan Rajpurohit, Baijayanti Ghosh, Wen Xiong, Baiping Wang, Yanyan Qi, Sung Hee Hwang, Bruce D Hammock, Hongjie Li, Li Gan, Hui Zheng

Center on Aging Staff Publications

Background: The epoxyeicosatrienoic acids (EETs) are derivatives of the arachidonic acid metabolism with anti-inflammatory activities. However, their efficacy is limited due to the rapid hydrolysis by soluble epoxide hydrolase (sEH). Inhibition of sEH has been shown to stabilize the EETs and reduce neuroinflammation in Aβ mouse models of Alzheimer's disease (AD). However, the role of the sEH-EET signaling pathway in other CNS cell types and neurodegenerative conditions are less understood.

Methods: Here we investigated the mechanisms and functional role of the sEH-EET axis in tauopathy by treating PS19 mice with a small molecule sEH inhibitor TPPU and by crossing the …


Ensemble Learning With Explainable Ai For Improved Heart Disease Prediction Based On Multiple Datasets, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao Apr 2025

Ensemble Learning With Explainable Ai For Improved Heart Disease Prediction Based On Multiple Datasets, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Heart disease is one of the leading causes of death worldwide. Predicting and detecting heart disease early is crucial, as it allows medical professionals to take appropriate and necessary actions at earlier stages. Healthcare professionals can diagnose cardiac conditions more accurately by applying machine learning technology. This study aimed to enhance heart disease prediction using stacking and voting ensemble methods. Fifteen base models were trained on two different heart disease datasets. After evaluating various combinations, six base models were pipelined to develop ensemble models employing a meta-model (stacking) and a majority vote (voting). The performance of the stacking and voting …


Dna Methylation Signature Of A Lifestyle-Based Resilience Index For Cognitive Health, Wei Zhang, David Lukacsovich, Juan I Young, Lissette Gomez, Michael A Schmidt, Eden R Martin, Brian W Kunkle, X Steven Chen, Deirdre M O'Shea, James E Galvin, Lily Wang Apr 2025

Dna Methylation Signature Of A Lifestyle-Based Resilience Index For Cognitive Health, Wei Zhang, David Lukacsovich, Juan I Young, Lissette Gomez, Michael A Schmidt, Eden R Martin, Brian W Kunkle, X Steven Chen, Deirdre M O'Shea, James E Galvin, Lily Wang

Faculty, Staff and Students Publications

Cognitive resilience (CR) contributes to the variability in risk for developing and progressing in Alzheimer's disease (AD) among individuals. Beyond genetics, recent studies highlight the critical role of lifestyle factors in enhancing CR and delaying cognitive decline. DNA methylation (DNAm), an epigenetic mechanism influenced by both genetic and environmental factors, including CR-related lifestyle factors, offers a promising pathway for understanding the biology of CR. We studied DNAm changes associated with the Resilience Index (RI), a composite measure of lifestyle factors, using blood samples from the Healthy Brain Initiative (HBI) cohort. After corrections for multiple comparisons, our analysis identified 19 CpGs …


New Insights Into Epileptic Spasm Generation And Treatment From The Ttx Animal Model, John W Swann, Carlos J Ballester-Rosado, Chih-Hong Lee Apr 2025

New Insights Into Epileptic Spasm Generation And Treatment From The Ttx Animal Model, John W Swann, Carlos J Ballester-Rosado, Chih-Hong Lee

Duncan NRI Faculty and Staff Publications

Currently, we have an incomplete understanding of the mechanisms underlying infantile epileptic spasms syndrome (IESS). However, over the past decade, significant efforts have been made to develop IESS animal models to provide much-needed mechanistic information for therapy development. Our laboratory has focused on the TTX model and in this paper, we review some of our findings. To induce spasms, tetrodotoxin (TTX) is infused into the neocortex of infant rats. TTX produces a lesion at its infusion site and thus mimics IESS resulting from acquired structural brain abnormalities. Subsequent electrophysiological studies showed that the epileptic spasms originate from neocortical layer V …


Sbirt Workflow, Dory Hart Emery, Tory Gamage, Sara Watts, Carol Mcclure, Anne Barker, Liz Berry, Liz Anderson Apr 2025

Sbirt Workflow, Dory Hart Emery, Tory Gamage, Sara Watts, Carol Mcclure, Anne Barker, Liz Berry, Liz Anderson

Operations Transformation

SBIRT stands for Screening – Identify patients with unhealthy substance use. Brief Intervention – A collaborative conversation that raises a person’s awareness of substance use and its consequences and encourages behavioral changes. Referral to Treatment – Actively link patients to resources when needed. It is a substance use screening tool that we ask patients 18 yrs. old and older to fill out once a year when having their CPE or AWV. SBRIT has been recognized as an integral part of primary care. It is an approach that delivers prevention, detection, and early intervention for individuals at risk of substance use …


Midrc Mrale Mastermind Grand Challenge: Ai To Predict Covid Severity On Chest Radiographs, Samuel G. Armato, Karen Drukker, Lubomir Hadjiiski, Carol C. Wu, Jayashree Kalpathy-Cramer, George Shih, Maryellen L. Giger, Natalie Baughan, Benjamin Bearce, Adam E. Flanders, Robyn L. Ball, Kyle J. Myers, Heather M. Whitney, The Midrc Grand Challenge Working Group Apr 2025

Midrc Mrale Mastermind Grand Challenge: Ai To Predict Covid Severity On Chest Radiographs, Samuel G. Armato, Karen Drukker, Lubomir Hadjiiski, Carol C. Wu, Jayashree Kalpathy-Cramer, George Shih, Maryellen L. Giger, Natalie Baughan, Benjamin Bearce, Adam E. Flanders, Robyn L. Ball, Kyle J. Myers, Heather M. Whitney, The Midrc Grand Challenge Working Group

Department of Radiology Faculty Papers

PURPOSE: The Medical Imaging and Data Resource Center (MIDRC) mRALE Mastermind Grand Challenge fostered the development of artificial intelligence (AI) techniques for the automated assignment of mRALE (modified radiographic assessment of lung edema) scores to portable chest radiographs from patients known to have COVID-19.

APPROACH: The challenge utilized 2079 training cases obtained from the publicly available MIDRC data commons, with validation and test cases sampled from not-yet-public MIDRC cases that were inaccessible to challenge participants. The reference standard mRALE scores for the challenge cases were established by a pool of 22 radiologist annotators. Using the MedICI challenge platform, participants submitted …


Progesterone Signaling In Oviductal Epithelial Cells Modulates The Immune Response To Support Preimplantation Embryonic Development, Emily A Mcglade, Jiude Mao, Kalli K Stephens, Ryan M Marquardt, Feyza Nur Arguc, Peter F Lais, San-Pin Wu, Sarayut Winuthayanon, Haval Shirwan, Esma S Yolcu, Mark I Hunter, James K Pru, John P Lydon, Francesco J Demayo, Wipawee Winuthayanon Apr 2025

Progesterone Signaling In Oviductal Epithelial Cells Modulates The Immune Response To Support Preimplantation Embryonic Development, Emily A Mcglade, Jiude Mao, Kalli K Stephens, Ryan M Marquardt, Feyza Nur Arguc, Peter F Lais, San-Pin Wu, Sarayut Winuthayanon, Haval Shirwan, Esma S Yolcu, Mark I Hunter, James K Pru, John P Lydon, Francesco J Demayo, Wipawee Winuthayanon

Faculty, Staff and Students Publications

More than 60% of pregnancy losses occur during the first trimester, highlighting the need to understand the role of the oviduct in early pregnancy. In this study, we conditionally ablated the classical progesterone receptor (Pgr) in oviductal epithelial cells, called the Pgrd/d mouse model. We found that 40% of embryos collected from Pgrd/d females were nonviable or developmentally delayed, indicating that epithelial PGR expression is crucial for embryonic development. Single-cell RNA sequencing revealed up-regulation of proinflammatory genes, including interleukin-22 (IL-22), in the epithelial cells of Pgrd/d females. Pharmacological inhibition of inflammation using nonsteroidal anti-inflammatory drugs …


Enriched Pathways In Gut Microbiome Predict Response To Immune Checkpoint Inhibitor Treatment Across Demographic Regions And Various Cancer Types, Xunhui Cai, Jennifer Y Cho, Lijun Chen, Yufeng Liu, Fenghu Ji, Katia Salgado, Siyi Ge, Dehua Yang, Hui Yu, Jianbo Shao, P Andrew Futreal, Boris Sepesi, Don Gibbons, Yaobing Chen, Guoping Wang, Chao Cheng, Meng Wu, Jianjun Zhang, Ansel Hsiao, Tian Xia Apr 2025

Enriched Pathways In Gut Microbiome Predict Response To Immune Checkpoint Inhibitor Treatment Across Demographic Regions And Various Cancer Types, Xunhui Cai, Jennifer Y Cho, Lijun Chen, Yufeng Liu, Fenghu Ji, Katia Salgado, Siyi Ge, Dehua Yang, Hui Yu, Jianbo Shao, P Andrew Futreal, Boris Sepesi, Don Gibbons, Yaobing Chen, Guoping Wang, Chao Cheng, Meng Wu, Jianjun Zhang, Ansel Hsiao, Tian Xia

Faculty, Staff and Student Publications

Understanding the effect of gut microbiota function on immune checkpoint inhibitor (ICI) responses is urgently needed. Here, we integrated 821 fecal metagenomes from 12 datasets to identify differentially abundant genes and construct random forest models to predict ICI response. Gene markers demonstrated excellent predictive performance, with an average area under the curve (AUC) of 0.810. Pathway analyses revealed that quorum sensing (QS), ABC transporters, flagellar assembly, and amino acid biosynthesis pathways were enriched between responders (R) and non-responders (NRs) across 12 datasets. Furthermore,


A Deep Learning Strategy To Identify Cell Types Across Species From High-Density Extracellular Recordings, Maxime Beau, David J Herzfeld, Francisco Naveros, Marie E Hemelt, Federico D'Agostino, Marlies Oostland, Alvaro Sánchez-López, Young Yoon Chung, Michael Maibach, Stephen Kyranakis, Hannah N Stabb, M Gabriela Martínez Lopera, Agoston Lajko, Marie Zedler, Shogo Ohmae, Nathan J Hall, Beverley A Clark, Dana Cohen, Stephen G Lisberger, Dimitar Kostadinov, Court Hull, Michael Häusser, Javier F Medina Apr 2025

A Deep Learning Strategy To Identify Cell Types Across Species From High-Density Extracellular Recordings, Maxime Beau, David J Herzfeld, Francisco Naveros, Marie E Hemelt, Federico D'Agostino, Marlies Oostland, Alvaro Sánchez-López, Young Yoon Chung, Michael Maibach, Stephen Kyranakis, Hannah N Stabb, M Gabriela Martínez Lopera, Agoston Lajko, Marie Zedler, Shogo Ohmae, Nathan J Hall, Beverley A Clark, Dana Cohen, Stephen G Lisberger, Dimitar Kostadinov, Court Hull, Michael Häusser, Javier F Medina

Faculty, Staff and Students Publications

High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but fail to reveal cell type. Here, we develop a strategy to identify cell types from extracellular recordings in awake animals and reveal the computational roles of neurons with distinct functional, molecular, and anatomical properties. We combine optogenetics and pharmacology using the cerebellum as a testbed to generate a curated ground-truth library of electrophysiological properties for Purkinje cells, molecular layer interneurons, Golgi cells, and mossy fibers. We train a semi-supervised deep learning classifier that predicts cell types with greater than 95% accuracy based on the waveform, discharge …


Intravascular Imaging-Guided Versus Angiography-Guided Percutaneous Coronary Intervention In Patients With Non-St-Segment Elevation Myocardial Infarction In The United States: Results From Big Data Analysis, Chayakrit Krittanawong, Song Peng Ang, Neil Sagar Maitra, Zhen Wang, Mahboob Alam, Hani Jneid, Samin Sharma Apr 2025

Intravascular Imaging-Guided Versus Angiography-Guided Percutaneous Coronary Intervention In Patients With Non-St-Segment Elevation Myocardial Infarction In The United States: Results From Big Data Analysis, Chayakrit Krittanawong, Song Peng Ang, Neil Sagar Maitra, Zhen Wang, Mahboob Alam, Hani Jneid, Samin Sharma

Faculty, Staff and Students Publications

Non-ST-segment elevation myocardial infarction (NSTEMI) can be managed by ischemia guide strategies or early invasive strategies. Here, we present the findings of an updated contemporary analysis regarding the use of intracoronary imaging (ICI)-guided PCI versus angiography-guided PCI and in-hospital mortality in patients with NSTEMI in the United States using the NIS database from 2016 to 2021. ICI use increased by nearly threefold between 2016 and 2021, without a significant difference in in-hospital mortality, though interestingly, mortality rates compared with angiography guidance were similar and relatively low. In this study, the use of ICI was associated with lower adjusted odds of …


A Nuclear Rna Degradation Code Is Recognized By Paxt For Eukaryotic Transcriptome Surveillance, Lindsey V Soles, Liang Liu, Xudong Zou, Yoseop Yoon, Shuangyu Li, Lusong Tian, Marielle Valdez, Angela M Yu, Hong Yin, Wei Li, Fangyuan Ding, Georg Seelig, Lei Li, Yongsheng Shi Apr 2025

A Nuclear Rna Degradation Code Is Recognized By Paxt For Eukaryotic Transcriptome Surveillance, Lindsey V Soles, Liang Liu, Xudong Zou, Yoseop Yoon, Shuangyu Li, Lusong Tian, Marielle Valdez, Angela M Yu, Hong Yin, Wei Li, Fangyuan Ding, Georg Seelig, Lei Li, Yongsheng Shi

Faculty, Staff and Students Publications

The RNA exosome plays critical roles in eukaryotic RNA degradation, but how it specifically recognizes its targets remains unclear. The poly(A) tail exosome targeting (PAXT) connection is a nuclear adaptor that recruits the exosome to polyadenylated RNAs, especially transcripts polyadenylated at intronic poly(A) sites. Here, we show that PAXT-mediated RNA degradation is induced by the combination of a 5' splice site (ss) and a poly(A) junction (PAJ) but not by either sequence alone. These sequences are bound by U1 small nuclear ribonucleoprotein particle (snRNP) and cleavage/polyadenylation factors, which, in turn, cooperatively recruit PAXT. As the 5' ss-PAJ combination is typically …


Fourth Annual Research Symposium Program With Abstracts, Office Of Research Affairs, Boonshoft School Of Medicine Apr 2025

Fourth Annual Research Symposium Program With Abstracts, Office Of Research Affairs, Boonshoft School Of Medicine

Boonshoft School of Medicine Research Symposium

The program booklet is a compilation of abstracts from oral and poster presentations at Wright State University's Fourth Annual Boonshoft School of Medicine Medical Research Symposium held on April 16, 2025.


Short- And Long-Term Effects Of Early Versus Delayed Treatment With Ocrelizumab On Cerebellar Volume Loss In Patients With Rms And Ppms, Douglas L Arnold, Shannon Kolind, Haz-Edine Assemlal, Amit Bar-Or, Matilde Inglese, Ludwig Kappos, Katrin Parmar, Till Sprenger, Anthony Traboulsee, Irene M Vavasour, Jerry S Wolinsky, Corrado Bernasconi, Ulrike Bonati, Stefano Magon, Björn Tackenberg, Laura Gaetano Apr 2025

Short- And Long-Term Effects Of Early Versus Delayed Treatment With Ocrelizumab On Cerebellar Volume Loss In Patients With Rms And Ppms, Douglas L Arnold, Shannon Kolind, Haz-Edine Assemlal, Amit Bar-Or, Matilde Inglese, Ludwig Kappos, Katrin Parmar, Till Sprenger, Anthony Traboulsee, Irene M Vavasour, Jerry S Wolinsky, Corrado Bernasconi, Ulrike Bonati, Stefano Magon, Björn Tackenberg, Laura Gaetano

Faculty, Staff and Student Publications

Background: The cerebellum is a functionally and anatomically complex structure, which, in multiple sclerosis (MS), is affected by focal white/gray matter lesions and by secondary neurodegeneration of afferent/efferent connections to the supratentorial brain and the spinal cord.

Objectives: To assess the efficacy of ocrelizumab compared with interferon β-1a (IFN β-1a)/placebo on cerebellar volume loss and the effect of switching to ocrelizumab on volume change in the Phase III trials in relapsing MS (RMS, OPERA I/II) and in primary progressive MS (PPMS, ORATORIO).

Methods: Cerebellar volume change was computed using paired Jacobian integration and analyzed using a mixed-effect repeated measurement model. …


Deep Learning-Based Automatic Segmentation Of Cerebral Infarcts On Diffusion Mri, Wi-Sun Ryu, Dawid Schellingerhout, Jonghyeok Park, Jinyong Chung, Sang-Wuk Jeong, Dong-Seok Gwak, Beom Joon Kim, Joon-Tae Kim, Keun-Sik Hong, Kyung Bok Lee, Tai Hwan Park, Sang-Soon Park, Jong-Moo Park, Kyusik Kang, Yong-Jin Cho, Hong-Kyun Park, Byung-Chul Lee, Kyung-Ho Yu, Mi Sun Oh, Soo Joo Lee, Jae Guk Kim, Jae-Kwan Cha, Dae-Hyun Kim, Jun Lee, Man Seok Park, Dongmin Kim, Oh Young Bang, Eung Yeop Kim, Chul-Ho Sohn, Hosung Kim, Hee-Joon Bae, Dong-Eog Kim Apr 2025

Deep Learning-Based Automatic Segmentation Of Cerebral Infarcts On Diffusion Mri, Wi-Sun Ryu, Dawid Schellingerhout, Jonghyeok Park, Jinyong Chung, Sang-Wuk Jeong, Dong-Seok Gwak, Beom Joon Kim, Joon-Tae Kim, Keun-Sik Hong, Kyung Bok Lee, Tai Hwan Park, Sang-Soon Park, Jong-Moo Park, Kyusik Kang, Yong-Jin Cho, Hong-Kyun Park, Byung-Chul Lee, Kyung-Ho Yu, Mi Sun Oh, Soo Joo Lee, Jae Guk Kim, Jae-Kwan Cha, Dae-Hyun Kim, Jun Lee, Man Seok Park, Dongmin Kim, Oh Young Bang, Eung Yeop Kim, Chul-Ho Sohn, Hosung Kim, Hee-Joon Bae, Dong-Eog Kim

Faculty, Staff and Student Publications

We explored effects of (1) training with various sample sizes of multi-site vs. single-site training data, (2) cross-site domain adaptation, and (3) data sources and features on the performance of algorithms segmenting cerebral infarcts on Magnetic Resonance Imaging (MRI). We used 10,820 annotated diffusion-weighted images (DWIs) from 10 university hospitals. Algorithms based on 3D U-net were trained using progressively larger subsamples (ranging from 217 to 8661), while internal testing employed a distinct set of 2159 DWIs. External validation was conducted using three unrelated datasets (n = 2777, 50, and 250). For domain adaptation, we utilized 50 to 1000 subsamples from …


Simulation-Based Assessment Of Blood Pressure By Certified Athletic Trainers, Michael W. Verde, Lindsey E. Eberman, Dawn M. Emerson, Zoë J. Foster, Zachary K. Winkelmann Apr 2025

Simulation-Based Assessment Of Blood Pressure By Certified Athletic Trainers, Michael W. Verde, Lindsey E. Eberman, Dawn M. Emerson, Zoë J. Foster, Zachary K. Winkelmann

Internet Journal of Allied Health Sciences and Practice

Purpose: Blood pressure (BP) assessment is a key component of pre-participation examinations and can aid athletic trainers (ATs) in diagnosing hypertension. However, the current pedagogical technique, which involves practicing BP assessment on healthy individuals, may not adequately prepare healthcare providers to recognize Korotkoff sounds at abnormal pressures during clinical practice. Therefore, the purpose of this study was to examine AT's ability to and confidence in assessing and interpreting BP using a high-fidelity simulator.

Methods: We recruited ATs through conferences, in-services, and postprofessional athletic training programs. In total, 100 ATs from various job settings (age=31±11 years; men=37, women=63, clinical experience=8±10 years; …


Distinguishing Multisystem Inflammatory Syndrome In Children From Typhus Using Artificial Intelligence: Mis-C Versus Endemic Typhus (Ai-Met), Angela Chun, Abraham Bautista-Castillo, Isabella Osuna, Kristiana Nasto, Flor M Munoz, Gordon E Schutze, Sridevi Devaraj, Eyal Muscal, Marietta M De Guzman, Kristen Sexson Tejtel, Tiphanie P Vogel, Ioannis A Kakadiaris Apr 2025

Distinguishing Multisystem Inflammatory Syndrome In Children From Typhus Using Artificial Intelligence: Mis-C Versus Endemic Typhus (Ai-Met), Angela Chun, Abraham Bautista-Castillo, Isabella Osuna, Kristiana Nasto, Flor M Munoz, Gordon E Schutze, Sridevi Devaraj, Eyal Muscal, Marietta M De Guzman, Kristen Sexson Tejtel, Tiphanie P Vogel, Ioannis A Kakadiaris

Faculty, Staff and Students Publications

Background: The pandemic emergent disease multisystem inflammatory syndrome in children (MIS-C) following coronavirus disease-19 infection can mimic endemic typhus. We aimed to use artificial intelligence (AI) to develop a clinical decision support system that accurately distinguishes MIS-C versus endemic typhus (MET).

Methods: Demographic, clinical, and laboratory features rapidly available following presentation were extracted for 133 patients with MIS-C and 87 patients hospitalized due to typhus. An attention module assigned importance to inputs used to create the 2-phase AI-MET. Phase 1 uses 17 features to arrive at a classification manually (MET-17). If the confidence level is not surpassed, 13 additional features …


Atm-Dependent Dna Damage Response Constrains Cell Growth And Drives Clonal Hematopoiesis In Telomere Biology Disorders, Christopher M Sande, Stone Chen, Dana V Mitchell, Ping Lin, Diana M Abraham, Jessie Minxuan Cheng, Talia Gebhard, Rujul J Deolikar, Colby Freeman, Mary Zhou, Sushant Kumar, Michael Bowman, Robert L Bowman, Shannon Zheng, Bolormaa Munkhbileg, Qijun Chen, Natasha L Stanley, Kathy Guo, Ajibike Lapite, Ryan Hausler, Deanne M Taylor, James Corines, Jennifer Jd Morrissette, David B Lieberman, Guang Yang, Olga Shestova, Saar Gill, Jiayin Zheng, Kelcy Smith-Simmer, Lauren G Banaszak, Kyle N Shoger, Erica F Reinig, Madilynn Peterson, Peter Nicholas, Amanda J Walne, Inderjeet Dokal, Justin P Rosenheck, Karolyn A Oetjen, Daniel C Link, Andrew E Gelman, Christopher R Reilly, Ritika Dutta, R Coleman Lindsley, Karyn J Brundige, Suneet Agarwal, Alison A Bertuch, Jane E Churpek, Laneshia K Tague, F Brad Johnson, Timothy S Olson, Daria V Babushok Apr 2025

Atm-Dependent Dna Damage Response Constrains Cell Growth And Drives Clonal Hematopoiesis In Telomere Biology Disorders, Christopher M Sande, Stone Chen, Dana V Mitchell, Ping Lin, Diana M Abraham, Jessie Minxuan Cheng, Talia Gebhard, Rujul J Deolikar, Colby Freeman, Mary Zhou, Sushant Kumar, Michael Bowman, Robert L Bowman, Shannon Zheng, Bolormaa Munkhbileg, Qijun Chen, Natasha L Stanley, Kathy Guo, Ajibike Lapite, Ryan Hausler, Deanne M Taylor, James Corines, Jennifer Jd Morrissette, David B Lieberman, Guang Yang, Olga Shestova, Saar Gill, Jiayin Zheng, Kelcy Smith-Simmer, Lauren G Banaszak, Kyle N Shoger, Erica F Reinig, Madilynn Peterson, Peter Nicholas, Amanda J Walne, Inderjeet Dokal, Justin P Rosenheck, Karolyn A Oetjen, Daniel C Link, Andrew E Gelman, Christopher R Reilly, Ritika Dutta, R Coleman Lindsley, Karyn J Brundige, Suneet Agarwal, Alison A Bertuch, Jane E Churpek, Laneshia K Tague, F Brad Johnson, Timothy S Olson, Daria V Babushok

Faculty, Staff and Students Publications

Telomere biology disorders (TBDs) are genetic diseases caused by defective telomere maintenance. TBD patients often develop bone marrow failure and have an increased risk of myeloid neoplasms. To better understand the factors underlying hematopoietic outcomes in TBD, we comprehensively evaluated acquired genetic alterations in hematopoietic cells from 166 pediatric and adult TBD patients. Of these patients, 47.6% (28.8% of children, 56.1% of adults) had clonal hematopoiesis. Recurrent somatic alterations involved telomere maintenance genes (7.6%), spliceosome genes (10.4%, mainly U2AF1 p.S34), and chromosomal alterations (20.2%), including 1q gain (5.9%). Somatic variants affecting the DNA damage response (DDR) were identified in 21.5% …


Volumetric Changes In Cerebellar Transverse Zones: Age And Sex Effects In Health And Neurological Disorders, Farshid Ghiyamihoor, Payam Paymani, Jarrad Perron, Azam Asemi-Rad, Mehdi Marzban, Aashka Mohite, Karen Ardila, Bara Aljada, Asghar Marzban, Mehnosh Toback, Sherif Eltonsy, Ji Hyun Ko, Tabrez J Siddiqui, Christopher J Steele, Jiming Kong, Mario Manto, M Ethan Macdonald, Jason S Gill, Roy V Sillitoe, Fuat Balcı, Iman Beheshti, Hassan Marzban Apr 2025

Volumetric Changes In Cerebellar Transverse Zones: Age And Sex Effects In Health And Neurological Disorders, Farshid Ghiyamihoor, Payam Paymani, Jarrad Perron, Azam Asemi-Rad, Mehdi Marzban, Aashka Mohite, Karen Ardila, Bara Aljada, Asghar Marzban, Mehnosh Toback, Sherif Eltonsy, Ji Hyun Ko, Tabrez J Siddiqui, Christopher J Steele, Jiming Kong, Mario Manto, M Ethan Macdonald, Jason S Gill, Roy V Sillitoe, Fuat Balcı, Iman Beheshti, Hassan Marzban

Duncan NRI Faculty and Staff Publications

Cerebellar volumetric changes are intricately linked to aging, with distinct patterns across its transverse zones, the functional subdivisions characterized by unique cytoarchitectural and connectivity profiles. Despite research efforts, the cerebellar aging process in health and neurological disorders remains poorly understood. In this study, we investigated the effects of age and sex on total cerebellum, transverse zone, and lobule volumes using MRI data from over 45,000 participants compiled from six neuroimaging datasets. We also propose a framework for estimating cerebellum age as an indicator of cerebellar health. Significant age‐dependent volume reductions were observed across transverse zones, with the …


Virtual Reality Respiratory Biofeedback In An Outpatient Pediatric Pain Rehabilitation Program: Mixed Methods Pilot Study, Kristin Recker, Julia Silliman, Karolina Gifford, Parth Patel, Lisgelia Santana, Aimee K. Hildenbrand, Shreela Palit, Rachel Wasserman Apr 2025

Virtual Reality Respiratory Biofeedback In An Outpatient Pediatric Pain Rehabilitation Program: Mixed Methods Pilot Study, Kristin Recker, Julia Silliman, Karolina Gifford, Parth Patel, Lisgelia Santana, Aimee K. Hildenbrand, Shreela Palit, Rachel Wasserman

Department of Pediatrics Faculty Papers

BACKGROUND: Chronic pain in adolescents is a significant and growing concern, as it can have negative implications on physical and psychosocial development. Management can be complicated by the increasing risks associated with opioid misuse, highlighting the need for effective nonpharmacological interventions. Biofeedback is an empirically supported behavioral intervention for chronic pain that targets the self-regulation of physiological responses. Virtual reality (VR) is a novel delivery method for biofeedback that could serve as an engaging and effective platform for adolescents.

OBJECTIVE: The goal of this study was to assess the feasibility, acceptability, and preliminary effectiveness of integrating a VR-delivered respiratory biofeedback …


Long-Read Single-Cell Rna Sequencing Enables The Study Of Cancer Subclone-Specific Genotypes And Phenotypes In Chronic Lymphocytic Leukemia, Gage S Black, Xiaomeng Huang, Yi Qiao, Philip Moos, Deepa Sampath, Deborah M Stephens, Jennifer A Woyach, Gabor T Marth Apr 2025

Long-Read Single-Cell Rna Sequencing Enables The Study Of Cancer Subclone-Specific Genotypes And Phenotypes In Chronic Lymphocytic Leukemia, Gage S Black, Xiaomeng Huang, Yi Qiao, Philip Moos, Deepa Sampath, Deborah M Stephens, Jennifer A Woyach, Gabor T Marth

Faculty, Staff and Student Publications

Bruton tyrosine kinase (BTK) inhibitors are effective for the treatment of chronic lymphocytic leukemia (CLL) due to BTK's role in B cell survival and proliferation. Treatment resistance is most commonly caused by the emergence of the hallmark BTKC481S mutation that inhibits drug binding. In this study, we aimed to investigate cancer subclones harboring a BTKC481S mutation and identify cells with co-occurring CLL driver mutations. In addition, we sought to determine whether BTK-mutated subclones exhibit distinct transcriptomic behavior when compared to other cancer subclones. To achieve these goals, we use scBayes, which integrates bulk DNA sequencing and single-cell …