Medicine and Health Sciences Commons^™

Autoregulation Of Rpl7b By Inhibition Of A Structural Splicing Enhancer, David Granas, Ishan Gammadde Hewa, Michael A White, Gary D Stormo

2020-Current year OA Pubs

Yeast ribosomal protein gene RPL7B is autoregulated by inhibition of splicing. The first intron has a "zipper stem" that brings the 5' splice site near the branch point (BP) and serves as an enhancer of splicing that is required for efficient splicing because the intron has a nonconsensus BP sequence of UGCUAAC. The intron also contains an alternative, and mutually exclusive, structure that is conserved across many yeast species. That conserved structure is a binding site for the Rpl7 protein so that when the protein is in excess over what is required for ribosomes, the protein binds to the conserved …

Direct Histone Proteoform Profiling Of The Unannotated, Endangered Coral Acropora Cervicornis, Cassandra N Fuller, Sabrina Mansoor, Kevin Jeanne Dit Fouque, Lilian Valadares Tose, Javier Rodriguez-Casariego, Mariangela Kosmopoulou, Detlev Suckau, Francisca N De Luna Vitorino, Benjamin A Garcia, Jose M Eirin-Lopez, Francisco Fernandez-Lima

2020-Current year OA Pubs

Epigenetic modifications directly regulate the patterns of gene expression by altering DNA accessibility and chromatin structure. A knowledge gap is presented by the need to directly measure these modifications, especially for unannotated organisms with unknown primary histone sequences. In the present work, we developed and applied a novel workflow for identifying and annotating histone proteoforms directly from mass spectrometry-based measurements for the endangered Caribbean coral Acropora cervicornis. Combining high-accuracy de novo top-down and bottom-up analysis based on tandem liquid chromatography, trapped ion mobility spectrometry, non-ergodic electron-based fragmentation, and high-resolution mass spectrometry, near complete primary sequence (up to 99%) and over …

A Cancer Education Needs Assessment: Informing Middle-Aged Female Patients About The Relationships Between Obesity And Women’S Health Concerns In The Reproductive System, Breast, And Endometrial Health, Batul Mirza

MUSC Theses and Dissertations

Obesity significantly impacts women’s health, particularly among middle-aged women, by increasing the risk of hormone-sensitive cancers such as breast, endometrial, and reproductive system cancers. This study examines the educational needs of this demographic group regarding obesity-related cancer risks and explores effective intervention strategies. Obesity-induced mechanisms – hormonal imbalances, chronic inflammation, and insulin resistance – drive cancer susceptibility, emphasizing the need for targeted health education. The study employs a qualitative design, which includes interviews with subject matter experts (SMEs) and surveys of middle-aged women. The goal is to assess awareness, perceived barriers, and preferred learning methods. Findings suggest that with many …

Comparing And Evaluating Contralateral Breast Dose Relative To Median Ptv Tumor Bed Dose For Hypo-Fractionated Breast Treatments Using Import High Dose Constraints., Shannon J. Nordby

Masters Projects

This study is aimed to compare two different planning constraints for post-lumpectomy whole breast radiation treatments to evaluate whether or not the mean dose to the contralateral breast can be significantly reduced while maintaining plan quality for treatment. A total of 10 patients who had first undergone a lumpectomy were included into this study. Each patient’s initial treatment plan was created using a conventional approach with a mean dose constraint of < 600 cGy (Plan A) and then was replanned using the Import High protocol of a mean dose constraint, aiming to further push for a mean dose < 150 cGy (Plan B) to the contralateral breast. Both of these plans were analyzed for PTV coverage and dose to the surrounding critical structures. The results have shown that the contralateral mean dose was significantly reduced from an average of 216.32 in Plan A to 126.53 cGy in Plan B. All while meeting the target coverage of > 95% isodose line. Statistical testing showed a significant difference between the two planning techniques of lowering the contralateral dose (p < 0.0001), and normality testing supported the validity of the data analysis. In addition to a substantial dose reduction to the contralateral breast, Plan B maintained equal or improved dose constraint to other surrounding critical organs at risk, including the heart, lungs, spinal cord, and thyroid. The Import High protocol demonstrated consistent outcomes across diverse patient anatomies. These findings suggest that by using the Import High mean dose constraint, it is possible to maintain plan quality while reducing dose to the contralateral breast. This approach may help reduce the risk of long-term side effects and improve the patient’s overall outcomes in whole breast radiation treatments.

State-Level Immigrant Policies And Diabetes Prevalence In Latino And Asian American Groups: A Weighted Multilevel Analysis, Md Towfiqul Alam, Jennifer Toller Erausquin, Erica Payton, Elizabeth Vásquez, Sandra Echeverria

Faculty Scholarship

Introduction: Growing literature has shown that immigrant-related policies influence population health by limiting or enhancing immigrants’ rights. However, less is known about the role of state-level immigrant policies shaping chronic health conditions such as type 2 diabetes (T2DM). This cross-sectional study examined the association between state-level immigrant policies (both criminalising and inclusive) and prevalence of T2DM among individuals of Latin American and Asian American origin.

Method: We included adults aged 18+years sampled in the 2014–2018 behavioral risk factor surveillance system (BRFSS) (n=201 824), a survey design that allows the calculation of state-level estimates. Using existing policy measures, states …

Secondary Malignancies In Patients With Meningioma: A Surveillance, Epidemiology, And End Results Data Analysis, Maxwell W. Pickles, Thomas Z. Rohan, Shreya Vinjamuri, Nikolaos Mouchtouris, Roger Murayi, David P. Bray, James J. Evans

Department of Neurosurgery Faculty Papers

BACKGROUND: The risk of secondary primary malignancies (SPMs) in meningioma patients is not well understood. In this unidirectional analysis, we evaluated the risk of SPMs occurring following a primary diagnosis of meningioma.

METHODS: The Surveillance, Epidemiology, and End Results (SEER-17) database (2000-2020) was used to identify 124,769 meningioma patients from a total of 9,208,295 cancer cases. Standardized incidence ratios (SIRs) were calculated using SEER's statistical analysis package to evaluate SPM risk. Basic demographic and treatment information was collected as well.

RESULTS: Of the 124,769 patients, 11,411 (9.2%) received diagnoses of an SPM, which correlates to a higher risk than the …

Impact Of Sars-Cov-2 On Healthcare And Essential Workers: A Longitudinal Study Of Promis-29 Outcomes, Jocelyn Dorney, Imtiaz Ebna Mannan, Caitlin Malicki, Lauren E. Wisk, Joann Elmore, Kelli N. O'Laughlin, Dana Morse, Kristyn Gatling, Michael Gottlieb, Michelle Santangelo, Michelle L'Hommedieu, Nicole L. Gentile, Sharon Saydah, Mandy J. Hill, Ryan Huebinger, Katherine Riley Martin, Ahamed H. Idris, Efrat Kean, Kevin Schaeffer, Robert M. Rodriguez, Robert A. Weinstein, Erica S. Spatz, Inspire Group

Department of Emergency Medicine Faculty Papers

IMPORTANCE: The mandatory service of essential workers during the COVID-19 pandemic was associated with high job stress, increased SARS-CoV-2 exposure, and limited time for recovery following infection. Understanding outcomes for frontline workers can inform planning for future pandemics.

OBJECTIVE: To compare patient-reported outcomes by employment type and SARS-CoV-2 status.

DESIGN: Data from the INSPIRE registry, which enrolled COVID-positive and COVID-negative adults between 12/7/2020-8/29/2022 was analyzed. Patient-reported outcomes were collected quarterly over 18 months.

SETTING: Participants were recruited across eight US sites.

PARTICIPANTS: Employed INSPIRE participants who completed a short (3-month) and long-term (12-18 month) survey.

EXPOSURE: SARS-CoV-2 index status and …

Prenatal Psychosocial Distress Screening For Individuals Experiencing Pregnancies Complicated By Fetal Anomalies., Kara Hansen, Lisa Mische Lawson, Abigail Wilpers

Manuscripts, Articles, Book Chapters and Other Papers

Pregnant individuals who receive a fetal anomaly diagnosis experience significantly elevated rates of depression, anxiety, and traumatic stress-up to four to six times higher than those for individuals with low-risk pregnancies. In low-risk pregnancies, perinatal mental health conditions are the leading cause of maternal mortality and are associated with adverse birth outcomes, including preterm birth and low birth weight. These risks are likely compounded in pregnancies involving fetal anomalies due to the intersecting psychological and social burdens that complicate maternal well-being and access to care. However, there is a critical gap in understanding how these mental health symptoms translate into …

Prenatal Maternal Mood Instability And Child Externalizing Problems: An Ecological Momentary Assessment Study, Sophie G. Srivastava, Curt A. Sandman, Elysia Poggi Davis, Laura M. Glynn

Psychology Faculty Articles and Research

This study examines whether exposure to affect fluctuations during fetal development have implications for child psychopathology. To evaluate maternal mood instability, participants (N = 154) completed Ecological Momentary Assessment (EMA) eight times per day across three days at 15-, 25-, and 35-weeks' gestation, and then at two months postpartum. The EMA measured depressive symptoms (Center for Epidemiologic Studies Depression Scale), anxiety (Profile of Mood States), and stress (Perceived Stress Scale). Mood instability was quantified by calculating root mean square of successive differences (RMSSD), which captures both variability and temporal dependency of mood states. When the children were 3 years …

Staff Education To Improve Preceptors’ Knowledge Base To Adapt Teaching Methods Across Generations, Lucretia Dennise Sanders

Walden Dissertations and Doctoral Studies

Today’s nursing workforce consists of individuals from multiple generational cohorts, which creates a dynamic mix of nurses whose behavior and work reflect the cultural and historical events that shaped their generation. As the nursing workforce becomes increasingly multigenerational, nurse educators and leaders face growing challenges in ensuring that onboarding practices meet the needs of diverse learners. In the local organization, leaders and clinical educators observed inconsistencies in preceptorship practices and onboarding experiences, particularly for newly hired nurses. As a result, leaders determined that an educational intervention focused on generational teaching strategies was needed. Thus, the purpose of this Doctor of …

On The Use Of Wearable Continuous Glucose Monitors (Cgms), Jovita Ozonnadi

Walden Dissertations and Doctoral Studies

This DNP project implemented an educational module on the use of continuous glucose monitoring devices (CGM) to increase staff knowledge of diabetic care and glycemic control for the diabetic population in a community healthcare clinic. Diabetes mellitus is a significant health concern that poses a substantial challenge to the community and the American healthcare system with a higher burden of diabetes complications found among the low income, uninsured, and minority populations. Poor glycemic control is a major health issue that significantly increases the risk of developing diabetes-related complications such as heart and kidney diseases, and obesity. The adoption of CGM …

What Drives Weight Status Among Female University Students? A Machine Learning Analysis Of Sociodemographic, Dietary, And Lifestyle Determinants, Radwan Qasrawi, Abir Ajab, Leila Cheikh Ismail, Ayesha Al Dhaheri, Sharifa Alblooshi, Razan Abu Ghoush, Stephanny Vicuna Polo, Malak Amro, Suliman Thwib, Ghada Issa, Haleama Al Sabbah

All Works

Background: Obesity and underweight are increasingly common among young adult women, often resulting from complex interactions between diet, lifestyle, and socioeconomic factors. This study addresses that gap by applying machine learning to a wide range of behavioral, dietary, and demographic data. The main research question asks: What are the key factors influencing weight status among female university students, and how accurately can machine learning models identify them? We hypothesize that different factors are significantly associated with underweight, overweight, and obesity, and that machine learning can reliably detect these patterns. The aim is to identify the strongest predictors and support more …

Image-Based Inference Of Tumor Cell Trajectories Enables Large-Scale Cancer Progression Analysis, Yang Liu, Ling Cai, Ruichen Rong, Shidan Wang, Liwei Jia, Peiran Quan, Qin Zhou, Guanghua Xiao, Yang Xie

Faculty, Staff and Student Publications

Current approaches to estimating cell trajectories, tumor progression dynamics, and cell population diversity of tumor microenvironment often depend on single-cell RNA sequencing, which is costly and resource intensive. To address this limitation, we developed an artificial intelligence (AI) model that leverages cell morphology features and histological spatial organization to classify tumor cell differentiation status, infer cell dynamic trajectories, and quantify tumor progression from hematoxylin and eosin (H&E)-stained whole-slide images. In three independent lung adenocarcinoma cohorts, our AI-based model accurately predicted cell differential status and provided quantifiable measures of tumor progression that were prognostic of patient survival. Spatial transcriptomic integrative analyses …

A Two-Stage Dual-Task Learning Strategy For Early Prediction Of Pathological Complete Response To Neoadjuvant Chemotherapy For Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Images, Bowen Jing, Jing Wang

Faculty, Staff and Student Publications

Early prediction of treatment response can facilitate personalized treatment for breast cancer patients. Studies on the I-SPY 2 clinical trial demonstrate that multi-time point dynamic contrast-enhanced magnetic resonance (DCEMR) imaging improves the accuracy of predicting pathological complete response (pCR) to chemotherapy. However, previous image-based prediction models usually rely on mid- or post-treatment images to ensure the accuracy of prediction, which may outweigh the benefit of response-based adaptive treatment strategy. Accurately predicting the pCR at the early time point is desired yet remains challenging. To improve prediction accuracy at the early time point of treatment, we proposed a two-stage dual-task learning …

Truncated Ntrk2 Is Induced In Cap1 Endothelial Cells During Mouse Lung Injury-Repair, Celine Shuet Lin Kong, Mitheera V, Jezreel Pantaleón-García, Scott E Evans, Jichao Chen

Faculty, Staff and Student Publications

Pulmonary capillary endothelial cells (ECs) consist of two populations, CAP1 and CAP2; how each population reacts to diverse tissue injury is incompletely understood. Using single-cell multiome and mouse genetics, we characterize the induction and function of a truncated isoform of Ntrk2, Ntrk2-T1, in multiple lung injury models. Upon Sendai parainfluenza infection, Ntrk2-T1 is broadly induced in CAP1s after the initial interferon response, associated with increased intronic chromatin accessibility, and persists for weeks. Ntrk2-T1 ECs arise from CAP1s but not CAP2s-traced by

Ifn-Β Production Promotes Metabolic Rewiring And Protection Against Oxidative Stress In Hepatitis Delta Virus-Infected Hepatocyte Cultures, Olga A Khomich, Patrick Giavalisco, Romain Parent, George S Krasnov, Peter Tessarz, Philip Meuleman, Rani Burm, Natalia F Zakirova, Jennifer Molle, Enkhtuul Batbold, Eyal Gottlieb, Fabien Zoulim, Alexander V Ivanov, Birke Bartosch

Faculty, Staff and Student Publications

Type I interferons are secreted in response to various stimuli and are used as a treatment for many diseases, including infections with the hepatitis B virus (HBV) and its satellite virus, hepatitis delta (HDV). HDV significantly aggravates HBV-mediated liver damage and is - in contrast to HBV - a strong inducer of interferon responses, including IFN-β. As the role of IFN- β in liver metabolism is so far ill explored, we studied its impact on hepatocyte metabolism in HDV-infected cultures. Transcriptome analysis, isotope tracing and functional tests on differentiated, HDV-infected hepatocytes showed reduction of mitochondrial TCA cycle and respiratory activity …

Integration Of A Pedometer-Based Physical Activity Intervention With Cognitive Behavioral Therapy For Adults With Chronic Obstructive Lung Disease, Patricia M Bamonti, Marilyn L Moy, Grace A Rose, Amy K Silberbogen, Jeffrey A Cully, Erica R Checko, David Coultas, Brent R Schell, Jennifer Moye

Faculty, Staff and Students Publications

Physical activity interventions effectively improve physical activity (i.e., daily step count) and reduce the risk of adverse health outcomes in persons with chronic obstructive pulmonary disease (COPD), but effects on depression and anxiety are poorly understood. Behavioral interventions concurrently targeting both physical activity and mood symptoms are needed in this population. This paper describes acceptability testing and refinement of Step-CBT, a synchronous, video-delivered, pedometer-based physical activity intervention integrated with cognitive behavioral therapy (CBT) to improve step count in individuals with COPD; physical disability and depression and anxiety symptoms are secondary outcomes. Adults (N = 5) with COPD and clinically significant …

Brain Functional Connectivity Correlates Of Autism Diagnosis And Familial Liability In 24-Month-Olds, John R Pruett Jr, Alexandre A Todorov, Muhamed Talovic, Tomoyuki Nishino, Steven E Petersen, Savannah Davis, Lyn Stahl, Kelly N Botteron, Natasha Marrus, Robert C Mckinstry, William D Shannon, Abraham Z Snyder, Et Al.

2020-Current year OA Pubs

BACKGROUND: fcMRI correlates of autism spectrum disorder (ASD) diagnosis and familial liability were studied in 24-month-olds at high (older affected sibling) and low familial likelihood for ASD.

METHODS: fcMRI comparisons of high-familial-likelihood (HL) ASD-positive (HLP, N = 23) and ASD-negative (HLN, N = 91), and low-likelihood ASD-negative (LLN, N = 27) 24-month-olds from the Infant Brain Imaging Study (IBIS) Network were conducted, employing object oriented data analysis (OODA), support vector machine (SVM) classification, and network-level fcMRI enrichment analyses.

RESULTS: OODA (alpha = 0.0167, 3 comparisons) revealed differences in HLP and LLN fcMRI matrices (p = 0.012), but none for HLP …

Discovery Of N-(6-Methoxypyridin-3-Yl)Quinoline-2-Amine Derivatives For Imaging Aggregated Α-Synuclein In Parkinson's Disease With Positron Emission Tomography, Haiyang Zhao, Tianyu Huang, Dhruva D Dhavale, Jennifer Y O'Shea, Jiwei Gu, Xuyi Yue, Ying-Hwey Nai, Hao Jiang, Paul T Kotzbauer, Joel S Perlmutter, Zhude Tu, Et Al.

2020-Current year OA Pubs

The fibrillary aggregation of α-synuclein is a hallmark of Parkinson's disease (PD) and a potential target for diagnostics and therapeutics. Although substantial effort has been devoted to the development of positron emission tomography (PET) probes for detecting α-synuclein aggregates, no clinically suitable tracer has been reported. The design and synthesis of 43 new

Atopy-Related Immune Profiles Are Subject To Genetic Influence As Evaluated Using School-Aged Twin Pairs, Jonatan Leffler, James F. Read, Danny Mok, Michael Serralha, Anthony Bosco, Patrick G. Holt, Richard Saffery, Deborah H. Strickland

Research outputs 2022 to 2026

The interaction of genetic and environmental contributions to immunological traits and their association with atopic disease remain unclear. Flow cytometry and in vitro cytokine responses were used to characterize immune profiles from 93 school-aged twin pairs. Using an established twin pair analytical strategy, the genetic and environmental influences on immunological traits were evaluated, along with their association with atopy. Our findings suggest strong genetic influence on several traits, particularly B cell abundance. In contrast, cytokine responses from in vitro stimulations appeared mainly shaped by environmental exposures. Regarding associations with atopy, greater abundance of both B cells and basophils were observed …

Cdc1s Promote Atherosclerosis Via Local Immunity And Are Targetable For Therapy, Miguel Galán, Suin Jo, Tian-Tian Liu, Kenneth M. Murphy, Et Al.

2020-Current year OA Pubs

BACKGROUND: Atherosclerosis is characterized by immune cell accumulation in the arterial wall and adaptive CD4

METHODS: We tested atherosclerosis in

RESULTS: Expansion of DCs in

CONCLUSIONS: Using state-of-the-art strategies, our results establish that cDC1s have a proatherogenic role in atherosclerosis by boosting CD4

Machine Learning Assisted Immune Profiling Of Copd Identifies A Unique Emphysema Subtype Independent Of Gold Stage, Natalie Bordag, Katharina Jandl, Ayu Hutami Syarif, Jürgen Gindlhuber, Diana Schnoegl, Ayse Ceren Mutgan, Vasile Foris, Konrad Hoetzenecker, Panja Maria Boehm, Robab Breyer-Kohansal, Katarina Zeder, Gregor Gorkiewicz, Francesca Polverino, Slaven Crnkovic, Grazyna Kwapiszewska, Leigh Matthew Marsh

Faculty, Staff and Students Publications

Chronic obstructive pulmonary disease (COPD) is a severe, progressive, and heterogeneous disease with a poor outcome. Inflammation plays a central role in disease pathogenesis; however, the interplay between immune changes and disease heterogeneity has been difficult to unravel. We performed a multilevel immunoinflammatory characterization of patients with COPD using flow cytometry, cytokine profiling, single-cell, or spatial transcriptomics in combination with machine learning algorithms. Our cross-cohort analysis demonstrated shared skewing of immune profiles in COPD lungs toward adaptive immune cells. We furthermore identified a subgroup of patients with COPD with a distinct immune profile, characterized by increased antigen-presenting cells, mast cells, …

Matrix Molecules Associated With Both Regulation Of Inflammation And Pathogenic Outcomes Associated With The Surface Of The Lens In The Eyes Of Eau Mice, Phuong M. Le, Jodirae Dedreu, Mary J Mattapallil, Rachel R Caspi, Ryan Tomlinson, Mary Ann Stepp, A. Sue Menko

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Immune cells with immunoregulatory properties are recruited to the surface of the lens in the Experimental Autoimmune Uveitis (EAU) mouse and remain linked through resolution of EAU inflammation. Since protein components of the extracellular matrix provide biochemical and mechanical signals that regulate immune cell migration and phenotype, we investigated whether EAU inflammation caused matrix molecules to become associated with the lens surface. We focused on matrix proteins known to influence leukocyte phenotype and behavior, and/or lead to pathological outcomes in uveitis. We found that fibrinogen became associated with the lens capsule surface by the peak of EAU inflammation and increased …

Beyond The Airway, Volume 2, Issue 1, 2024-2025

Beyond the Airway

Table of Contents

1 - Foreword by Dr. Eric Schwenk

2 - Foreword by Bhavana Thota

3 - Interview with Dr. Jaime Baratta

5 - FAER MSARF Summer Research Fellowship

8 - Interview with Dr. Natasha Sinai-Hede

11 - Sugammadex vs. Neostigmine/Glycopyrrolate

14 - Interview with Dr. Angelica Pinninti

16 - Women in Anesthesiology

20 - Editorial Staff

The High Burden Of Depression, Anxiety, And Stress Among University Students In Southern Iraq: A Cross-Sectional Study, Hassan Al-Karagoly, Zahraa Al-Attar, Hjar Al-Asadi, Sajad Al-Lahibi, Russul Al-Fartousi, Teeba Al-Jadry, Menatallah Bali, Baneen Al-Hasnawi, Hanan Al-Aboudi, Zainab Al-Fadliu, Ali Al-Mosawi, Zahraa Al-Aboudi, Qassim Al-Rubaie, Mohsin Al-Samawi, Abdulsalam Halboup

AUIQ Complementary Biological System

University students often face significant academic, social, and environmental pressures, making them particularly vulnerable to psychological distress. Despite this, there is limited evidence regarding the prevalence and associated factors of mental health problems among university students in Iraq. Therefore, this study aimed to assess the prevalence and severity of depression, anxiety, and stress in this population and to examine their associations with sociodemographic characteristics, insomnia, internet use, and physical activity. A cross-sectional study was conducted among Iraqi university students using a structured questionnaire, including the DASS-21, Insomnia Severity Index, and Internet Addiction Test. Descriptive and inferential statistics were used to …

Case Report: Solitary Adrenal Metastasis From Esophageal Adenocarcinoma, Riddhi Machchhar, Ahmed Dawood Al Mahrizi, Fatima Mossolem, Mariam Abdeen, Ujjwala Jain, Jyotibala Jain, Prashant Desai

Rowan-Virtua School of Osteopathic Medicine Departmental Research

INTRODUCTION: Solitary adrenal metastasis from a primary esophageal malignancy is relatively rare. While there are case reports of aggressive treatment with esophagectomy and adrenalectomy providing long-term survival, the treatment paradigm is not well defined. Complications from esophageal adenocarcinoma and its treatment can significantly impact the patient's quality of life and prognosis.

CASE PRESENTATION: Our patient was treated with systemic therapy and, although he initially had a complete response, he later experienced local disease progression along with the development of additional metastatic sites. The patient began FOLFOX, a standard chemotherapy regimen for esophageal/gastric cancer. He experienced side effects such as fever, …

Computational Thinking As A Novel Framework For Enhancing Cognitive Organization In Older Adults With Cognitive Frailty (Letter To The Editor), Daisuke Akiba

Publications and Research

As aging populations grow, especially in high-income nations, the burden of dementia-related care continues to escalate both economically and socially. In response, this article introduces Computational Thinking (CT) as a novel, non-pharmacological framework to support cognitive organization in older adults experiencing cognitive frailty. Though CT has gained traction in fields like PK-16 education, including special education, for enhancing executive function and problem-solving, it has not yet been applied to geriatric- or memory-care contexts. This perspective proposes that CT’s core components (i.e., decomposition, pattern recognition, abstraction, and algorithmic thinking) may align with residual cognitive strengths in mild-to-moderate dementia, offering a strengths-based, …

Transcriptomic Analysis Of Localized High-Risk Prostate Cancer Improves Prognostication And Identifies Benefit From Adding Docetaxel To Definitive Radiotherapy With Androgen Suppression In The Nrg Oncology/Rtog 0521 Phase 3 Trial, Ryan M. Phillips, James A. Proudfoot, Elai Davicioni, Yang Liu, Daniel E. Spratt, Jeff M. Simko, Robert Den, Alan Pollack, Seth A. Rosenthal, A. Oliver Sartor, Christopher J. Sweeney, Gerhardt Attard, Leslie Longoria, Samir Patel, Michael W. Straza, Jason A. Efstathiou, Amit B. Shah, Karen E. Hoffman, Joseph P. Rodgers, Howard M. Sandler, Felix Y. Feng, Phuoc T. Tran

Jefferson Hospital Staff Papers and Presentations

BACKGROUND AND OBJECTIVE: NRG/RTOG 0521 randomized men with high-risk localized prostate cancer (PC) to androgen suppression (AS) and definitive radiotherapy (RT) ± docetaxel-based chemotherapy (CT). The overall survival (OS) benefit with CT initially reported was lost on longer follow-up. The Decipher genomic classifier (GC) measures multiple transcripts relevant to docetaxel action. Basal/luminal differentiation portends differential response to AS and CT for high-risk localized and metastatic hormone-sensitive PC. We validated the Decipher GC in pretreatment biopsy samples for risk stratification and examined basal-luminal subtyping to predict docetaxel response.

METHODS: Decipher GC scores and basal-luminal cellular subtypes were generated for specimens from …

Predicting Sleep And Sleep Stage In Children Using Actigraphy And Heartrate Via A Long Short-Term Memory Deep Learning Algorithm: A Performance Evaluation, Robert Weaver Med, Phd, James White, Olivia Finnegan, Hongpeng Yang, Zifei Zhong, Keagan Kiely, Catherine Jones, Yan Tong, Srihari Nelakuditi, Rahul Ghosal, David E. Brown, Russell R. Pate Ph.D., Gregory J. Welk, Massimiliano De Zambotti, Yuan Wang, Sarah Burkart, Elizabeth L. Adams Phd, Bridget Armstrong, Michael Beets Med, Mph, Phd

Faculty Publications

Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short-term memory (LSTM) is a machine learning algorithm that may address these deficiencies. This study evaluated the agreement of LSTM sleep estimates from actigraphy and heartrate (HR) data with polysomnography (PSG). Children (N = 238, 5–12 years,52.8% male, 50% Black 31.9% White) participated in an overnight laboratory polysomnography. Participants were referred be-cause of suspected sleep disruptions. Children wore an ActiGraph GT9X accelerometer and two of three consumer wearables(i.e., Apple Watch Series 7, Fitbit Sense, Garmin Vivoactive 4) on their non-dominant wrist during the polysomnogram. LSTM estimated sleep versus wake and sleep stage (wake, not-REM, REM) using raw actigraphy and HR data for each 30-s epoch. Logistic regression and random forest were also estimated as a benchmark for performance with which to compare the LSTM results. A 10-fold cross-validation technique was employed, and confusion matrices were constructed. Sensitivity and specificity were calculated to assess the agreement between research-grade and consumer wearables with the criterion polysomnography. For sleep versus wake classification, LSTM outperformed logistic regression and random forest with accuracy ranging from 94.1to 95.1, sensitivity ranging from 94.9 to 95.9 across different devices, and specificity ranging from 84.5 to 89.6. The addition of HR improved the prediction of sleep stages but not binary sleep versus wake. LSTM is promising for predicting sleep and sleep staging from actigraphy data, and HR may improve sleep stage prediction.

Bridging The Mind And Body: Functional Neurologic Symptom Disorder Following Sexual Trauma In An Adolescent Girl, Ariel E. Sosa Gomez, Daniel Gutierrez

School of Medicine Publications

Functional neurologic symptom disorder (FNSD) is a multifaceted condition that can present with neurologic symptoms inconsistent with recognized neurological disease, often in the context of psychosocial stressors, though these are not required for diagnosis. We report the case of a 12-year-old Hispanic female who developed episodes of limb paralysis, motor unresponsiveness, and self-injurious behaviors following a history of sexual abuse by a family member. Despite the initial absence of depressive symptoms, the patient later met criteria for major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). Her neurological symptoms lacked identifiable medical findings, following unremarkable results from comprehensive blood work, …