Medicine and Health Sciences Commons^™

Clinical Presentation, Risk Factors And Outcome Of Non-Tuberculous Mycobacteria Infection In Hematopoietic Stem-Cell Transplantation: A Multinational Case-Control Study, Mario Fernández-Ruiz, Sasinuch Rutjanawech, Carlos Mejía-Chew, Et Al.

2020-Current year OA Pubs

BACKGROUND: The clinical and microbiological features of infection due to non-tuberculous mycobacteria (NTM) after hematopoietic stem-cell transplantation (HSCT) remain poorly understood.

METHODS: We performed a retrospective, multinational case-control study that included HSCT recipients (≥12 years) diagnosed with NTM disease between January 2008 and December 2018. Controls were HSCT recipients with no evidence of NTM disease, matched (1:2 ratio) by participating center and post-transplant survival. Logistic regression on matched pairs was used to investigate risk factors for NTM disease.

RESULTS: We included 25 cases of NTM disease. The most common HSCT type was allogeneic from unrelated donor (72.0%) after myeloablative conditioning …

Multi-Modal Pediatric Critical Care Datamart For Extracorporeal Support Prediction And Decision Support, Miranda Edmunds, Aditi Gupta, Inez Oh, Levi Kaster, Jonathan Sagel, Andrew Michelson, Yuyao Zhuge, Philip Payne, Ahmed Said

2020-Current year OA Pubs

OBJECTIVES: To develop a multimodal pediatric critical care datamart supporting predictive modeling and decision support tool development, integrating high-resolution physiologic and clinical data and future clinical deployment.

MATERIALS AND METHODS: We developed a continuously expanding datamart integrating electronic health record data, high-resolution telemetry, and extracorporeal membrane oxygenation (ECMO)-domain datasets. The platform links static and longitudinal time-series variables with expert-curated neurologic outcomes for both ECMO and non-ECMO patients, enabling trajectory-based analyses.

RESULTS: The datamart currently includes 25 762 pediatric patients, of whom 395 received ECMO support. The datamart captures granular longitudinal physiologic, laboratory, medication, and telemetry data suitable for dynamic predictive …

Associations Of Child Amygdala Development With Borderline Personality Symptoms During Adolescence, Anna Constantino-Pettit, Kirsten Gilbert, Kiran Boone, Katherine Luking, Benjamin Geselowitz, Rebecca Tillman, Diana Whalen, Joan Luby, Deanna M Barch, Alecia Vogel

2020-Current year OA Pubs

BACKGROUND: The current understanding of the neural correlates of borderline personality disorder (BPD) is limited, but some evidence suggests that alterations in limbic structures play a role in adult BPD. The developmental course of structural neural differences in BPD is unknown. Whether there is specificity for structural alterations in BPD compared to other psychiatric presentations, such as major depressive disorder (MDD), remains unexplored. In the current study, we examined childhood trajectories of 2 limbic regions that have been implicated in BPD, hippocampal and amygdala volume, as they relate to adolescent BPD symptoms compared to MDD symptoms.

METHODS: Participants (n = …

Palbociclib With Adjuvant Endocrine Therapy In Early Breast Cancer: 5-Year Follow-Up Analysis Of The Global Multicenter, Open-Label, Randomized Phase Iii Pallas Trial (Abcsg-42/Aft-05/Pre0109/Big-14-13), E L Mayer, K Clifton, Et Al.

2020-Current year OA Pubs

BACKGROUND: In the phase III PALLAS trial, the addition of 2 years of palbociclib to adjuvant endocrine therapy (ET) did not improve short-term invasive disease-free survival (iDFS) compared with ET alone in high-risk early-stage hormone receptor (HR)-positive/human epidermal growth factor receptor 2 (HER2)-negative breast cancer. In this article, we report 5-year efficacy outcomes, including updated iDFS and overall survival (OS).

PATIENTS AND METHODS: PALLAS is an international, open-label, randomized phase III trial evaluating the addition of 2 years of palbociclib to adjuvant ET in patients with stage II-III HR-positive/HER2-negative breast cancer. The primary endpoint was iDFS.

RESULTS: The trial enrolled …

Intersecting Challenges: Substance Use And Mental Health Disparities Across Self-Reported Disability Status, Jessica Williams, Xiao Li, Hannah S Szlyk, Erin Kasson, Nathaniel A Dell, Alex Ramsey, Patricia A Cavazos-Rehg

2020-Current year OA Pubs

PURPOSE: Substance use and substance use disorders (SUD) disproportionately affect people with disabilities (PWD), yet PWD remain under-represented in addiction treatment literature. While recent work has begun to address SUD prevalence and recovery service gaps, little is known about how disability status shapes substance use outcomes. The present study is the first to our knowledge to investigate how recovery, mental health comorbidities, and barriers to care differ across disability status using structured survey data from people who use substances.

METHODS: 333 participants who use substances and provided information about their disability status in the baseline survey for a digital intervention …

Risk Factors For Complication And Reoperation In The Treatment Of Discoid Lateral Meniscus In Children And Adolescents: A Multicenter Study, Suzanna Ohlsen, Jeffrey J Nepple, Et Al.

2020-Current year OA Pubs

BACKGROUND: The discoid lateral meniscus (DLM) is a common congenital abnormality of the meniscus. Tears are common, and initial treatment is often not definitive, leading to a spectrum of complications, including persistent symptoms, meniscal insufficiency, osteochondral defects, and recurrent tears potentially requiring reoperation.

PURPOSE: To determine demographic, injury, and perioperative risk factors that increase the likelihood of complications and reoperation after treatment in patients with DLM.

STUDY DESIGN: Case series; Level of evidence, 4.

METHODS: Patients surgically treated for DLM from 9 institutions between 2000 and 2020 were reviewed. Data on demographics, presenting symptoms and signs, surgical findings and treatments, …

Ultrasound Applications In The Treatment Of Major Depressive Disorder: A Systematic Review Of Techniques And Therapeutic Potentials In Clinical Trials And Animal Model Studies, Gansheng Tan, Hong Chen, Eric C Leuthardt

2020-Current year OA Pubs

OBJECTIVE: Major depressive disorder (MDD) is a debilitating condition that inflicts significant personal and economic burdens and affects approximately 8% of the US population. Approximately 30% of patients with MDD do not respond to conventional antidepressant and psychotherapeutic treatments. Current treatment options for refractory MDD include transcranial magnetic stimulation (TMS) and invasive surgical procedures such as surgical ablation, vagus nerve stimulation, and deep brain stimulation. In this context, therapeutic ultrasound emerges as a promising alternative for treating refractory MDD, which has the unique advantage of combining noninvasiveness with selective targeting. Over the past ten years, there has been growth in …

How To Measure, Analyze, And Interpret Age-Related Changes In Caenorhabditis Elegans: Lessons For Mechanistic And Evolutionary Theories Of Aging, Zuzana Kocsisova, Brian M Egan, Andrea Scharf, Xavier Anderson, Franziska Pohl, Aaron Anderson, Kerry Kornfeld

2020-Current year OA Pubs

Aging is characterized by progressive degenerative changes in tissue organization and function, some of which increase the probability of mortality. Major goals of aging research are to elucidate the series of events that cause degenerative changes, and to identify environmental, pharmacological, and genetic factors that influence these changes; this information might lead to new strategies to extend health span and lifespan. Mechanistic studies of aging depend on accurate and precise descriptions of age-related changes, since these descriptions define the aging phenotype. Here, we review studies that describe age-related changes in C. elegans, including measurements of integrated functions such as behavior …

Evaluating The Effectiveness Of Escalating To Weekly Adalimumab Dosing For The Treatment Of Noninfectious Uveitis: A Multicenter Study, Shani Pillar, Akshay Thomas, Lynn M Hassman, Howard Chen, Sapna Gangaputra, Laura J Kopplin, Kelly Boyd, Kareem Moussa, Derek C Pham, Keren Chen, Nicholas J Jackson, Edmund Tsui

2020-Current year OA Pubs

PURPOSE: To evaluate the effectiveness of adalimumab dosage escalation in patients with noninfectious uveitis that is controlled inadequately with standard dosing.

DESIGN: Multicenter retrospective interventional case series.

PARTICIPANTS: Patients with noninfectious uveitis receiving active standard biweekly adalimumab dosing who underwent treatment escalation to weekly adalimumab dosing at 6 tertiary referral centers.

METHODS: Demographic data and clinical findings were assessed at the time of adalimumab dosage escalation and 6 months later. Mixed-model analysis was performed to analyze clinical outcomes and to assess predictive factors of success.

MAIN OUTCOME MEASURES: Treatment success composite criteria included: (1) disease quiescence (≤ 0.5+ anterior chamber …

Lightweight Open-Source Large Language Models Versus Ctakes For Information Extraction From Discharge Summaries: Tobacco Smoking Status Test Case, David M Dávila-García, Matthew J Schuelke, Adam B Wilcox

2020-Current year OA Pubs

OBJECTIVES: To compare lightweight open-source large language models (LLMs) with cTAKES, a state-of-the-art natural language processing (NLP) system, in an information extraction task from hospitalization discharge summaries.

MATERIALS AND METHODS: Two readers annotated 250 randomly sampled adult discharge summaries (BJC HealthCare, 2018-2023) for tobacco smoking status as "Smoker," "Never smoker," "Unknown." Six LLMs (Llama-3 [1B-70B], gpt-oss-20B, MedGemma-27B) and cTAKES extracted smoking status from summaries. Performance was benchmarked against consensus annotations using weighted F1-score, macro F1-score, and per-class F1-scores and a noninferiority test.

RESULTS: Inter-reader agreement was excellent (κ = 0.91). LLM size (2.3-47.3 GB) and inference time (2.5-14.5 s/note) varied. …

Effects Of Dual-Eligible Integrated Care Plans On Medicaid Enrollment And Retention: Evidence From The Implementation Of Medicare-Medicaid Plans, Eric T Roberts, Eliza Macneal, Kenton J Johnston, José F Figueroa

2020-Current year OA Pubs

Medicare and Medicaid are separate programs that together cover 13 million low-income older adults and people with disabilities, known as dual-eligible individuals. Concern about a lack of coordination across Medicare and Medicaid has prompted the development of Integrated Care Programs (ICPs). Although the primary goal of ICPs is to coordinate financing and care across Medicare and Medicaid, ICPs may also influence whether low-income individuals obtain or keep Medicaid. We evaluated whether the rollout of Medicare-Medicaid Plans (MMPs)-one of the largest ICPs-was associated with changes in Medicaid take-up and retention among Medicare beneficiaries residing in high-poverty zip codes. Using a stacked …

Computational Single-Neuron Mechanisms Of Visual Object Coding In The Human Temporal Lobe, Runnan Cao, Jie Zhang, Jie Zheng, Yue Wang, Peter Brunner, Jon T Willie, Shuo Wang

2020-Current year OA Pubs

Understanding how the human brain encodes visual objects involves deciphering the neural computations and circuits in the temporal lobe. Here, we recorded intracranial EEG from the human ventral temporal cortex (VTC) and medial temporal lobe (MTL), as well as single-neuron activity in the MTL, to investigate the computational mechanisms of neural object coding. The VTC exhibited axis-based feature coding, and a neural feature space could be constructed using VTC neural axes, within which visual objects clustered according to high-level categorical relationships. Importantly, MTL neurons encoded receptive fields within this VTC neural feature space, exhibiting selective responses to objects that shared …

Supporting Emergency Department Patients Experiencing Homelessness, Antony Hsu, Michael A Light, Callan Fockele, Samantha Hay, Stephen Y Liang, Wendy Macias-Konstantopoulos, Carla B Brim, William Weber

2020-Current year OA Pubs

Homelessness is a growing public health crisis across the United States. Emergency physicians are uniquely positioned to address immediate medical concerns and the underlying social drivers of health for patients experiencing homelessness. Initiating coordination of care in the emergency department addresses their hierarchy of needs and can help support patient movement through the department. Practice adaptations described include early engagement; trauma-informed care approach; addressing unmet nonmedical needs; establishing safe dispositions; documenting homelessness, substance use disorder, and linkages to care; clinical practice adaptations; and palliative care approaches. Programs and initiatives outside of the emergency department described include street medicine and government …

A Female With Missing Anatomical Landmarks During Emergency Endotracheal Intubation, Matthew P Olocco, Rawan Safa, Philip A Mudd, Aaron J Lacy

2020-Current year OA Pubs

No abstract provided.

Analysis Of Pediatric Cervical Spine Injury Evaluation Workflow In The Emergency Department, Annie J Truelove, Megan E Gregory, Fahd A Ahmad, Sean P Pajak, Nicole C Hammer, Daniel Corwin, Leah Tzimenatos, Scott O King, Matthew Szadkowski, Martin J Herman, Julie C Leonard

2020-Current year OA Pubs

OBJECTIVES: The decision to image children for cervical spine injuries (CSI), an uncommon injury with high associated morbidity and mortality, is complex. X-rays and computed tomography are often used to screen for CSI; however, radiation exposure increases lifetime cancer risk. We recently developed a CSI prediction rule to inform pediatric imaging decisions. To guide implementation, we conducted a workflow analysis of CSI screening in children after blunt trauma.

METHODS: We interviewed emergency departments (ED) and trauma clinicians at 21 hospitals following the applied cognitive task analysis task diagram, knowledge audit, and simulation interview approaches. Interviews were coded using a combined …

Seeg-Guided Responsive Neurostimulation To Treat Neocortical Epilepsy: A Multicenter Retrospective Study Of The Efficacy And Safety Of Depth Electrode-Mediated Neuromodulation, Sina Sadeghzadeh, Jon T Willie, Et Al.

2020-Current year OA Pubs

OBJECTIVES: Pivotal trials have established the effectiveness of the Responsive Neurostimulation System (RNS® System) in treating focal epilepsy. In clinical trials, depth leads were primarily used to treat mesial temporal seizure onsets while cortical strip leads were used to treat neocortical seizure onsets. Here, we systematically analyze the safety and efficacy of stereoelectroencephalography (sEEG)-guided depth leads to provide responsive stimulation to neocortical gray matter.

METHODS: Patients were stratified as strong responders (>median cohort seizure reduction %), weak responders (>0% and ≤median cohort seizure reduction %), and anti-responders (≤0%) based on percent seizure reduction at 1 year post-implant (1-Y). …

Association Of Self-Rated Health And Risk Of Incident Atrial Fibrillation: Findings From Three Cohorts, Parveen K Garg, Aniqa Alam, Harpreet S Bhatia, Jens Horn, Vegard Malmo, Jan Pal Loennechen, Scott Mu, Randi Foraker, Elizabeth Selvin, Imre Janszky, Susan R Heckbert, Alvaro Alonso

2020-Current year OA Pubs

BACKGROUND: Self-rated health (SRH) is easy to obtain and is known to be a good predictor for mortality and several comorbidities, including cardiovascular disease, but its relation to atrial fibrillation (AF) is largely unknown. We determined the association of SRH with risk of developing AF.

METHODS: We conducted a pooled cohort analysis of participants in the Atherosclerosis Risk in Communities Study (ARIC) (

RESULTS: Over a mean of 16±6, 9 ± 2, and 10±4 years of follow-up, 2340 (22.8 %), 1525 (3.5 %), and 879 (17.4 %) incident AF events occurred in ARIC, HUNT-3, and MESA respectively. Lower SRH categories …

Risk Factors For Anticoagulant-Related Bleeding In Cancer: Traditional And Cancer-Specific Factors, Alexa Loncharich, Brian F Gage, Suhong Luo, Martin Schoen, Amber Afzal, Amir Mahmoud, Kenneth Carson, Su-Hsin Chang, Yan Yan, Kristen M Sanfilippo

2020-Current year OA Pubs

Managing anticoagulant therapy in cancer-associated venous thromboembolism (VTE) is challenging due to risks of recurrent VTE and anticoagulant-related bleeding. Existing clinical risk models for bleeding are limited by discriminatory ability in patients with cancer, perhaps due to the omission of cancer-specific risk factors for bleeding. This study estimated the associations of traditional and cancer-specific risk factors with bleeding requiring hospitalization in patients with cancer-associated VTE prescribed anticoagulant therapy. We conducted a retrospective cohort study using the Veterans Health Administration database to identify patients with cancer-associated VTE between 2012 and 2020. Cancer-associated VTE was defined by diagnostic International Classification of Diseases …

Skida1 Sustains Mll::Enl-Expressing Hematopoietic Progenitors During Neonatal Stages And Promotes B-Lineage Priming, Jonny Mendoza-Castrejon, Wei Yang, Elisabeth Denby, Rohini Muthukumar, Emily B Casey, Riddhi M Patel, Sarah K Tasian, Jeffrey A Magee

2020-Current year OA Pubs

Infant leukemias arise as B-cell acute lymphoblastic or acute myeloid leukemia. Most are driven by chromosomal rearrangements of the

Plasma Ceramides Levels In Severe Covid-19 Disease: Correlations With Survival, Tri Pham, Andrea M Heredia Castillo, Andrew Atkinson, Linda R Peterson, M Cristina Vazquez Guillamet

2020-Current year OA Pubs

BACKGROUND: Dysregulated inflammatory processes have been associated with severe COVID-19 disease. Ceramides, bioactive lipids involved in inflammatory signaling, have been utilized to predict outcomes in chronic cardiometabolic diseases and pancreatic cancer, but their role in COVID-19 remains unknown.

METHODS: This observational study prospectively enrolled patients with COVID-19 disease who required intubation and mechanical ventilation at a Midwestern academic hospital between August 2020 and March 2021. Plasma ceramides 16:0 (C16), 22:0 (C22), and 24:0 (C24) and inflammatory markers (CRP, ESR, D-Dimer, and ferritin) were collected and organized weekly from symptom onset for up to 6 weeks. Patients were grouped by in-hospital …

Phenofit: A Framework For Determining Computable Phenotyping Algorithm Fitness For Purpose And Reuse, Laura K Wiley, Luke V Rasmussen, Rebecca T Levinson, Jennnifer Malinowski, Sheila M Manemann, Melissa P Wilson, Martin Chapman, Jennifer A Pacheco, Theresa L Walunas, Justin B Starren, Suzette J Bielinski, Rachel L Richesson

2020-Current year OA Pubs

BACKGROUND: Computational phenotyping from electronic health records (EHRs) is essential for clinical research, decision support, and quality/population health assessment, but the proliferation of algorithms for the same conditions makes it difficult to identify which algorithm is most appropriate for reuse.

OBJECTIVE: To develop a framework for assessing phenotyping algorithm fitness for purpose and reuse.

FITNESS FOR PURPOSE: Phenotyping algorithms are fit for purpose when they identify the intended population with performance characteristics appropriate for the intended application.

FITNESS FOR REUSE: Phenotyping algorithms are fit for reuse when the algorithm is implementable and generalizable-that is, it identifies the same intended population …

Recommended Best Practices For Construct-Centered Adaptation Of The Harmonized Cognitive Assessment Protocol, Emily M. Briceño, Darina T. Bassil, Pranali Khobragade, Anthony Ngugi, Martine El Bejjani, Eric Ochieng, Silvia Mejia-Arango, Salima Douhou, Kazione Kulisewa

School of Medicine Publications

Objectives: The Harmonized Cognitive Assessment Protocol (HCAP) neuropsychological assessment approach aims to support the collection of harmonizable data on cognitive function for cross-national cognitive aging and dementia research. As the measurement of cognition is sensitive to differences in contextual, cultural, educational, linguistic, social, and other factors that may influence cognitive test performance, HCAP requires adaptation to be appropriate for the contexts in which it is administered. We aim to provide methodological recommendations for the adaptation and implementation of the HCAP and other cognitive data collection tools in novel settings.

Methods: We drew from existing guidelines on cross-cultural psychological test adaptation …

Artificial Intelligence In Neurosurgical Decision-Making: Promise And Peril In The United States Practice, Tirath Patel, Hamza Yousuf Ibrahim, Sana Sohrab, Muhammad Taha Altaf, Bhumi Patel, Nikhilesh Anand

School of Medicine Publications

The rapid integration of artificial intelligence (AI) into neurosurgical practices in the United States is transforming how diagnoses are interpreted, how surgical plans are developed, and how guidance is provided during operations as clinical needs continue to grow. Models based on radiomics and the Food and Drug Administration approved tools for tumor segmentation, aneurysm identification, and spinal navigation are showing enhanced accuracy and decreased variability among observers, highlighting AI’s potential for significant change. Nevertheless, there are major concerns about the opacity of black-box models, inaccurate outputs, and the increasing legal uncertainties arising from AI-related errors. Ethical challenges, such as the …

A Narrative Review On The Neurobiology Of Lucid Dreaming: Mechanisms And Therapeutic Potential, Tirath Patel, Ashfaq Ahmed, Kinza Irshad, Rahat Ullah, Anaya Noor, Eiman Anwar, Rai Muhammad Umar Khan, Moazzam Akhtar, Fathimathul Henna, Nikhilesh Anand

School of Medicine Publications

Background: Lucid dreaming (LD), which involves being aware of and controlling one's dreams, is of particular interest in the study of consciousness and has potential therapeutic applications. In this narrative review, we highlight the neurobiological aspects of LD, specifically its mechanisms associated with the activation of prefrontal and parietal areas, increased gamma oscillations, and the influence of cholinergic and dopaminergic signaling, primarily during rapid eye movement (REM) sleep.

Objective: To evaluate human data on brain mechanisms and clinical effects, synthesizing the neurobiological foundations and therapeutic possibilities of LD, including remarkably controlled lucid dreams.

Methods: A narrative review of peer-reviewed research …

Epidemiology And Outcomes Of Sporotrichosis: A Descriptive Real-World Analysis From A Global Cohort, Samantha Schapiro, Nicholas Pulciano, Julian Galindo-Ramirez, Nicholas Rau, Jose Tuells, Nelson Iván Agudelo Higuita, George R. Thompson Iii, Daniel B. Chastain, Andrés F. Henao-Martínez

School of Medicine Publications

Background: Sporotrichosis is a dimorphic fungal infection of increasing global relevance. Although usually cutaneous or lymphocutaneous, disseminated disease occurs in immunocompromised hosts. Large-scale data on its epidemiology, treatment and outcomes remain limited.

Objectives: To characterise the clinical features, comorbidities, antifungal prescribing patterns and one-year mortality associated with sporotrichosis, with emphasis on patients with HIV and other forms of immunosuppression.

Patients/methods: We performed a retrospective global cohort study using the TriNetX Research Network. Adults (≥ 18 years) diagnosed with sporotrichosis were identified using ICD-9/10 codes (1995-2024). Demographics, comorbidities, laboratory parameters and antifungal prescriptions were analysed. The primary outcome was all-cause mortality …

Artificial Intelligence In Cardiology: An Updated Systematic Review With Ethical Considerations And Challenges In Implementing Artificial Intelligence Models, Dev Patel, Reshmitha Kantamneni, Jabez David John, Tirath Patel, Arnesh Shukla, Ayesha Salma, Nikhilesh Anand

School of Medicine Publications

The integration of artificial intelligence (AI) in cardiovascular medicine presents a transformative opportunity to enhance diagnostic accuracy and improve patient outcomes. This systematic review evaluates the impact of AI on cardiovascular diagnostics with a focus on its ability to surpass traditional methods in accuracy, efficiency, and predictive capabilities. Machine learning and deep learning have demonstrated significant advancements in areas such as echocardiography, electrocardiography, computed tomography angiography, and predictive analytics.

AI algorithms have demonstrated superior performance in identifying subtle patterns and anomalies. Additionally, AI has shown promise in predictive analytics, forecasting disease progression and tailoring treatment plans, thereby improving patient outcomes. …

A Narrative Review On The Therapeutic Potential Of Stem Cells In Neurodegenerative Diseases: Advances, Insights, And Challenges, Tirath Patel, Fathimathul Henna, Iman Sharif, Inaya Javed, Fatima Mustafa, Hannan Sharif, Fatima Nasir, Mirat Javaid

School of Medicine Publications

Background: Neurodegenerative diseases (NDs) such as Parkinson's disease (PD), Alzheimer's disease (AD), amyotrophic lateral sclerosis (ALS), Huntington's disease (HD) are set apart by progressive neuronal loss and concomitant functional decline. Traditional therapies are equipped with only symptomatic relief, devoid of neurorestorative properties. Stem-cell-based therapies have the potential to revolutionize neurological care by replenishing lost cells, mitigating inflammation, and fostering a neuroprotective environment.

Objectives: This narrative review aims to appraise the treatment potential of various stem cell types in managing NDs, highlighting their functional pathways, delivery methods, and current experimental validation.

Methods: A comprehensive literature search was carried out based on …

Overcoming Barriers To Hpv Vaccination In Pakistan: A Critical Need For A Proactive And Culturally-Sensitive Strategy, Syed Ahtisham Halim, Tirath Patel, Syeda Ramish Zehra Kazmi, Momina Khabir, Nikhilesh Anand

School of Medicine Publications

Cervical cancer continues to be one of the major causes of cancer-related mortalities among women worldwide, with a considerable share of this burden affecting developing countries like Pakistan. The addition of the HPV vaccine to the national immunization program of Pakistan had been a crucial leap toward the prevention of cervical cancer. Nevertheless, challenges that threaten the success of such a program are conspicuous. The most important ones are discussed in the letter, including the widespread dissemination of misinformation via social media on unfounded grounds, such as infertility resulting from the vaccine; deep-seated cultural taboos relating to sexual health; and …

Single Cell Transcriptomic Landscape Of Adult And Pediatric Non-Ischemic Cardiomyopathy, Joseph A Spinner, Iki Adachi, Xiao Li, James F Martin

Faculty, Staff and Students Publications

Non-ischemic cardiomyopathy (NICM) is a devastating diagnosis with a wide array of phenotypes, ranging from mild cardiac hypertrophy to end-stage heart failure. Single-cell/nucleus RNA sequencing technologies have expanded and become a necessary tool to unravel the transcriptome across thousands to millions of cells. Studies incorporating these technologies to examine pediatric and adult myocardium have improved our understanding of underlying pathophysiology in cardiomyopathy, identified novel gene and genetic pathway associations, and paved the way for precision medicine therapeutics in cardiovascular medicine. We compiled the recent literature that showcase single cell/nucleus technologies in NICM in adult and pediatric populations and describe cell …

Hootation: A Gui And Api Library For Ontology Validation And Verbalization, Shun Rao, Kirk Roberts, Hua Xu, Yang Gong, Frank Manion, Cui Tao, Licong Cui

Faculty, Staff and Student Publications

Ontology verbalization refers to the process of translating formal axioms into natural language expressions. The primary objective is to facilitate the review and validation of ontology content by subject matter experts without requiring extensive technical expertise. While previous approaches based on templates or controlled grammar have been effective, they often face limitations in scalability, fluency, and adaptability. To address these issues, we developed Hootation, an open-source software system that supports ontology verbalization through both a graphical user interface and an API library. The tool implements rule-based translation of OWL2 axioms and further incorporates optional Large Language Model (LLM) components for …