Digital Commons Network^™

Clinicians’ Perspectives Concerning Treatment Initiation And Escalation Strategies For Digital Ulcers In Patients With Systemic Sclerosis, Giulia Campanaro, Giulia Bandini, Alessia Alunno, Stefano Di Donato, Begonya Alcacer-Pitarch, Ilaria Galetti, Barbara Ruaro, Silvia Bellando Randone, Alberto Moggi Pignone, Marco Matucci-Cerinic, Zsuzsanna H Mcmahan, Michael Hughes

Faculty, Staff and Student Publications

Objectives: Digital ulcers (DUs) are a major cause of pain and disability in systemic sclerosis (SSc) patients and remain a major treatment challenge. Our aim was to explore clinicians' perspectives towards treatment initiation and escalation, akin to a 'Treat to Target' (T2T) strategy.

Methods: SSc clinicians were invited to participate in an online survey.

Results: A total of 173 responses (75% rheumatologists) were obtained from 33 countries. When initiating a change in oral drug therapy for SSc-DUs, most (80%) respondents would consider adding new medication to existing treatment, and 50% would increase existing treatment dose. Time to assess the impact …

The Effects Of Prescribed Medications On Depressive Symptoms And Neurocognitive Performance In People With Hiv, Asante R Kamkwalala, Avery Matthews, Ankita Garg, Upal Roy, Qing Ma, Maile Karris, Erin Sundermann, Ronald J Ellis, Patricia K Riggs, Mattia Trunfio, Jennifer Blanchard, David J Moore, Leah H Rubin, Scott L Letendre

Faculty, Staff and Student Publications

Background: Alterations in brain function and structure, such as depression and neurocognitive impairment, continue to occur in people with human immunodeficiency virus (HIV, PWH) taking suppressive antiretroviral therapy (ART). The lifespan of PWH has improved but the healthspan remains worse than people without HIV, in part because of aging-related diseases. As a result, polypharmacy is common and increases the risk of drug-drug interactions and adverse reactions.

Methods: This cross-sectional project investigated the relationship between 7 medication-related metrics (including anticholinergic burden), depressive symptoms, and neurocognitive performance in 491 PWH at a single center in the United States. All participants were taking …

New Performance Measurement Framework For Realizing Patient-Centered Clinical Decision Support: Qualitative Development Study, Prashila Dullabh, Courtney Zott, Nicole Gauthreaux, James Swiger, Edwin Lomotan, Dean F Sittig

Faculty, Staff and Student Publications

Background: Patient-centered clinical decision support (PC CDS) exists on a continuum that reflects the degree to which its knowledge base, data, delivery, and use focus on patient needs and experiences. A new focus on value-based, whole-person care has resulted in broader development of PC CDS technologies, yet there is limited information on how to measure their performance and effectiveness. To address these gaps, there is a need for more measurement guidance to assess PC CDS interventions.

Objective: This paper presents a new framework that incorporates patient-centered principles into traditional health IT and clinical decision support (CDS) evaluation frameworks to create …

Enhanced And Interpretable Prediction Of Multiple Cancer Types Using A Stacking Ensemble Approach With Shap Analysis, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Background: Cancer is a leading cause of death worldwide, and its early detection is crucial for improving patient outcomes. This study aimed to develop and evaluate ensemble learning models, specifically stacking, for the accurate prediction of lung, breast, and cervical cancers using lifestyle and clinical data.

Methods: 12 base learners were trained on datasets for lung, breast, and cervical cancer. Stacking ensemble models were then developed using these base learners. The models were evaluated for accuracy, precision, recall, F1-score, AUC-ROC, MCC, and kappa. An explainable AI technique, SHAP, was used to interpret model predictions.

Results: The stacking …

Sem And Bacteriological Evidence Of Laser-Activated Irrigation Compared To Ultrasonic-Activated Irrigation: A Pilot Study, David E Jaramillo, Ji W Jeong, Zhen Shen, Enrico Divito

Faculty, Staff and Student Publications

Background: Pulp tissue debridement and the eradication of microorganisms from an infected root canal system before obturation is a primary focus of endodontic treatment and the best predictor for the long-term success of endodontic treatment. Objective: The purpose of this in vitro laboratory study was to evaluate pulp tissue debridement and the disinfection efficacy of two different Er;Cr:YSGG laser units, with a 2790 nm wavelength, compared to ultrasonic-activated irrigation (UAI) in root canals infected with Enterococcus faecalis.

Methods: Human non-infected mandibular first molars were extracted, disinfected, and cultured with Enterococcus faecalis. Different types of Er;Cr:YSGG laser irrigation and …

An Intranasally Administered Igm Protects Against Antigenically Distinct Subtypes Of Influenza A Viruses, Ashwin Kumar Ramesh, Jwala Priyadarsini Sivaccumar, Xiaohua Ye, Luona Yang, Hailong Guo, Chen-Ni Chin, Sha Ha, John W Shiver, William R Strohl, Yan Xu, Haijuan Du, Tongqing Zhou, Ningyan Zhang, Kai Xu, Xinli Liu, Tong-Ming Fu, Zhiqiang An

Faculty, Staff and Student Publications

Engineering broadly neutralizing monoclonal antibodies (mAbs) targeting the hemagglutinin (HA) of Influenza A virus (IAV) is a promising approach for intervention of seasonal flu. However, HA plasticity often leads to resistant strains that compromise mAb potency as bivalent IgGs. Here we hypothesize that multimerization of anti-IAV antibodies as IgMs can enhance coverage and neutralization potency. Here, we construct 18 IgM antibodies from known broadly neutralizing IgGs targeting different IAV HA epitopes and evaluate their breadth and potency of neutralization against distinct H1N1 and H3N2 IAVs. The IgM version of receptor binding site-specific IgG F045-092 shows increased breadth and antiviral potency …

Overcoming Barriers To Human Papillomavirus Vaccination In Guangdong Province, China, Shuaijing Zhang, Shiqi Li, Jingtai Ma, Guiyuan Ji, Zhifeng Li, Siyi Chen, Fenglin Zhang, Xingfen Yang, Jianpeng Xiao, Rong Cao, Chenggang Wu, Wei Wu

Faculty, Staff and Student Publications

Human papillomavirus (HPV) infection remains a critical public health challenge in China, particularly in Guangdong Province, where HPV-52, 16, and 58 genotypes predominate, and male infection rates exceed 40%. Despite the successful implementation of a government-funded school-based program that has achieved 88% HPV vaccine coverage among adolescent girls, several persistent barriers, including genotype mismatch (the free HPV vaccine covers < 50% of high-risk local strains), regional disparities (80% vs. 60% for first-dose coverage), and exclusion of males, thwart progress toward herd immunity. Financial sustainability risks pose an even more significant threat to the expansion of HPV vaccination programs, especially in Guangdong province where annual expenditures exceed CNY 200 million. This review delves into Guangdong's pioneering efforts and proposes practical solutions: accelerating domestic multivalent HPV vaccine development, adopting gender-neutral vaccination policies, and leveraging mobile clinics for remote populations. These strategies not only provide a roadmap for China but also serve as valuable insight for other LMICs striving to overcome HPV-related inequalities.

The Potential Of Brain Organoids In Addressing The Heterogeneity Of Synucleinopathies, Xiao-Jun Diao, Claudio Soto, Fei Wang, Yu Wang, Yun-Cheng Wu, Abhisek Mukherjee

Faculty, Staff and Student Publications

Synucleinopathies are a group of diseases characterized by neuronal and glial accumulation of α-synuclein (aSyn) linked with different clinical presentations, including Parkinson's disease (PD), Parkinson's disease with dementia (PDD), Dementia with Lewy Bodies (DLB) and Multiple system atrophy (MSA). Interestingly, the structure of the aSyn aggregates can vary across different synucleinopathies. Currently, it is unclear how the aSyn protein can aggregate into diverse structures and affect distinct cell types and various brain regions, leading to different clinical symptoms. Recent advances in induced pluripotent stem cells (iPSCs)-based brain organoids (BOs) technology provide an unprecedented opportunity to define the etiology of synucleinopathies …

Correction: A Mapping Review And Critique Of The Literature On Translation, Dissemination, And Implementation Capacity Building Initiatives For Different Audiences, Ana A Baumann, Danielle R Adams, Laura-Mae Baldwin, Rachel G Tabak, Sara Malone, Maura M Kepper, Anita D Misra-Hebert, Kathleen R Stevens, Maria E Fernandez, Sunil Kripalani

Faculty, Staff and Student Publications

This corrects the article "A mapping review and critique of the literature on translation, dissemination, and implementation capacity building initiatives for different audiences", 34.

Tfcp2 Fusion-Positive Rhabdomyosarcomas: A Report Of 10 Cases And A Review Of The Literature, Madison P Ginn, Ryan A Denu, Davis R Ingram, Khalida M Wani, Alexander J Lazar, Douglas J Harrison, Michael S Nakazawa, Anthony P Conley, Shreyaskumar Patel, John Andrew Livingston

Faculty, Staff and Student Publications

Background/Objectives: The fusion of the TFCP2 gene with either EWSR1 or FUS typically results in a spindle cell and/or epithelioid variant of rhabdomyosarcoma. This is an ultra-rare type of sarcoma, with most of our knowledge about these coming from case reports and small case series. Herein, we describe the clinical characteristics and treatment course of 10 patients with TFCP2 fusion sarcomas.

Methods: We identified 10 patients in our hospital system with TFCP2 fusion sarcomas and 43 previously reported cases in the literature. We assessed primary tumor characteristics, treatment regimens, and survival rates among all cases.

Results: We find that …

Development And Validation Of A Dynamic Real-Time Risk Prediction Model For Intensive Care Units Patients Based On Longitudinal Irregular Data: Multicenter Retrospective Study, Zhuo Zheng, Jiawei Luo, Yingchao Zhu, Lei Du, Lan Lan, Xiaobo Zhou, Xiaoyan Yang, Shixin Huang

Faculty, Staff and Student Publications

Background: Timely and accurate prediction of short-term mortality is critical in intensive care units (ICUs), where patients' conditions change rapidly. Traditional scoring systems, such as the Simplified Acute Physiology Score and Acute Physiology and Chronic Health Evaluation, rely on static variables collected within the first 24 hours of admission and do not account for continuously evolving clinical states. These systems lack real-time adaptability, interpretability, and generalizability. With the increasing availability of high-frequency electronic medical record (EMR) data, machine learning (ML) approaches have emerged as powerful tools to model complex temporal patterns and support dynamic clinical decision-making. However, existing models are …

Dual Implants For Geriatric Distal Femur Fractures Results In Greater Healthy Days At Home, Makoa Mau, Tyler Thorne, Cole Payne, Kaleb Roach, Reese Svetgoff, Patrick J Kellam, Graham J Dekeyser, Stephen J Warner, Lucas S Marchand, Justin Haller

Faculty, Staff and Student Publications

Objectives: To compare Healthy Days At Home (HDAH90) within 90 days of hospital discharge after single implant (SI) or dual implant (DI) fixation in geriatric distal femur fractures.

Methods: Design: Retrospective Review.

Setting: Three Level I Trauma Centers.

Patient selection criteria: Geriatric (age ≥ 60 years) distal femur fracture patients (OTA/AO 33 A, C) operatively treated with SI (lateral plate or retrograde intramedullary nail (IMN)) or DI (two plates or plate and IMN) between January 2018-January 2024 were included.

Outcome measures and comparisons: The primary outcome was HDAH90, which was calculated from date of surgery to 90 days follow-up and …

Impact Of Antidiabetic Medication Type On A New Episode Of Depression: A Retrospective Cohort Study In Texas, Usa, Lin-Na Chou, Mukaila A Raji, Holly M Holmes, Yong-Fang Kuo

Faculty, Staff and Student Publications

Objectives: To examine the associations between antidiabetic medication type and a new episode of depression using 100% Texas Medicare database during 2009 and 2018.

Design: A retrospective cohort study.

Setting: A population-based study using the Texas Medicare data.

Interventions: 11 common antihyperglycaemic medication types, alone and in combinations: metformin-only, five non-metformin-containing regimens (dipeptidyl peptidase-4 inhibitor (DPP4i) only, sulfonylureas (SU) only, thiazolidinediones (TZD) only, SU/DPP4i and SU/TZD) and five metformin-containing combination treatments (metformin/DPP4i, metformin/SU, metformin/TZD, metformin/SU/DPP4i and metformin/SU/TZD).

Participants: This study included 59 057 type 2 diabetes (T2D) patients from a cohort of Texas Medicare beneficiaries who were aged ≥66 years, …

Vaccination Schedules Recommended By The Centers For Disease Control And Prevention: From Human-Readable To Machine-Processable, Xia Jing, Hua Min, Yang Gong, Mytchell A Ernst, Aneesa Weaver, Chloe Crozier, David Robinson, Dean F Sittig, Paul G Biondich, Samuil Orlioglu, Akash Shanmugan Boobalan, Kojo Abanyie, Richard D Boyce, Adam Wright, Christian Nøhr, Timothy D Law, Arild Faxvaag, Lior Rennert, Ronald W Gimbel

Faculty, Staff and Student Publications

Background: Reusable, machine-processable clinical decision support system (CDSS) rules have not been widely achieved in the medical informatics field. This study introduces the process, results, challenges faced, and lessons learned while converting the United States of America Centers for Disease Control and Prevention (CDC)-recommended immunization schedules (2022) to machine-processable CDSS rules.

Methods: We converted the vaccination schedules into tabular, charts, MS Excel, and clinical quality language (CQL) formats. The CQL format can be automatically converted to a machine-processable format using existing tools. Therefore, it was regarded as a machine-processable format. The results were reviewed, verified, and tested.

Results: We have …

Tobacco Smoking Functional Networks: A Whole-Brain Connectome Analysis In 24 539 Individuals, Yezhi Pan, Chuan Bi, Zhenyao Ye, Hwiyoung Lee, Jiaao Yu, Luba Yammine, Tianzhou Ma, Peter Kochunov, L Elliot Hong, Shuo Chen

Faculty, Staff and Student Publications

Introduction: Nicotine addiction, a multifaceted neuropsychiatric disorder, profoundly impacts brain functions through interactions with neural pathways. Despite its significance, the impact of tobacco smoking on the whole-brain functional connectome remains largely unexplored.

Aims and methods: We conducted a whole-brain analysis on 24 539 adults aged 40 and above from the United Kingdom Biobank cohort. Subjects were categorized into individuals who use nicotine and those who do not use nicotine based on current and chronic tobacco smoking information. Functional connectivity was assessed using resting-state functional magnetic resonance imaging. We employed a network analysis method to assess the systematic effects of tobacco …

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 …

Mandibular Condylar Cartilage In Development And Diseases: A Pthrp-Centric View, Chiaki Tsutsumi-Arai, Amy Tran, Yuki Arai, Wanida Ono, Noriaki Ono

Faculty, Staff and Student Publications

The mandibular condylar cartilage (MCC) is a dual-function component of the temporomandibular joint (TMJ), acting as both articular cartilage for jaw movement and growth cartilage for vertical growth of the mandibular condyle. Parathyroid hormone-related protein (PTHrP) plays a critical role in orchestrating chondrogenesis in the long bone, and its importance is also highlighted in both MCC development and TMJ function. Here, we discuss the role of PTHrP in the development, growth and diseases of the MCC. PTHrP is a key morphogen in the MCC that regulates chondrogenesis by promoting chondrocyte proliferation and preventing premature hypertrophic differentiation. Exclusively expressed in the …

Trends In Celecoxib Prescribing: A Single Institution 16-Month Review, Ivo H Cerda, Helen Jung, Maria C Guerrero, Rodrigo Diez Tafur, Robert Jason Yong, Christopher L Robinson, Jamal J Hasoon

Faculty, Staff and Student Publications

Background/Objectives: Celecoxib, a COX-2 selective nonsteroidal anti-inflammatory drug (NSAID), is widely prescribed for pain management due to its efficacy and improved gastrointestinal safety profile compared to traditional NSAIDs. Understanding prescription trends and their comparison to other NSAIDs provides valuable insight into prescribing behaviors in clinical settings.

Methods: This retrospective study analyzed celecoxib prescriptions written by three pain management physicians in a single institution over a 16-month period from 1 January 2023 to 30 April 2024. Prescription data were collected and grouped into four 4-month intervals to assess temporal trends. Additionally, we compared celecoxib prescriptions to other commonly prescribed NSAIDs, including …

Changes Of Eeg Beta Band Power And Functional Connectivity During Spaceflight: A Retrospective Study, Adrián Quivira-Lopesino, María Sevilla-García, Pablo Cuesta, Sandra Pusil, Ricardo Bruña, Patrique Fiedler, Ana Maria Cebolla, Guy Cheron, Michael Funke, Fernando Maestu

Faculty, Staff and Student Publications

Spaceflight exposes astronauts to unique conditions like microgravity, which may affect brain function, though it remains underexplored compared to other physiological systems. Astronauts often report temporary neurological symptoms, such as disorientation, visual disturbances, and motor issues, potentially linked to structural and electrophysiological brain changes. To investigate this, electroencephalography (EEG) is a reliable tool to study brain activity in space, measuring oscillatory activity and functional connectivity (FC). This study analyzed EEG data from five male astronauts during three stages: pre-flight, during low Earth orbit (LEO), and post-flight in a 2-min task-free eyes-closed (EC) condition followed by another 2-min of eyes-open (EO) …

Incident Hearing Loss And Subsequent Risk Of Dementia: The Health And Retirement Study 2010-2018, Jingkai Wei, Youngran Kim, Yike Li, Donglan Zhang, Casey Crump

Faculty, Staff and Student Publications

Background and Objectives

Research Design and Methods

Primary Care Telehealth In A Dynamic Healthcare Environment From Digital Divide To Healthcare Outcomes, Yunxi Zhang, Lincy S Lal, Saurabh Chandra, John Michael Swint

Faculty, Staff and Student Publications

With expanded telehealth availability in primary care, its impact on quality of care and associated costs remains debated. Analyzing 199,829 Medicare beneficiaries in Mississippi (2019-2021), we found telehealth utilization associated with significant sociodemographic disparities, reduced inpatient admissions, and lower 30-day readmissions. By accounting for primary care utilization, our findings suggest that the higher absolute costs observed among telehealth users may reflect underlying healthcare needs rather than telehealth utilization.

A Qualitative Inquiry Of Exercise Preferences Among Hispanic Adults With Multiple Sclerosis, Stephanie L Silveira, Robert W Motl, Tania Ontiveros, Victoria Flores

Faculty, Staff and Student Publications

This study aimed to identify the components of an ideal exercise training program for Hispanics with multiple sclerosis (MS), cultural adaptations, and avenues for dissemination of information to this population. Online, semi-structured interviews were conducted with 27 adults with MS who identified as Hispanic. A deductive content analysis approach was applied for assessing necessary and desired components of an exercise program. Participants articulated preferences for "what," "when," "where," and "who" of exercise programs. All participants expressed an interest in aerobic training (n = 27) and need for resistance (n = 14), flexibility (n = 8), and neuromotor components (n = …

Using The Healthy Native Youth Implementation Toolbox To Provide Web-Based Adolescent Health Promotion Decision Support To American Indian And Alaska Native Communities: Implementation Study, Amrita Sidhu, Ross Shegog, Stephanie Craig-Rushing, Nicole Trevino, Michelle Singer, Cornelia Jessen, Gwenda Gorman, Sean Simpson, Melissa Peskin, Belinda Hernandez, Christine Markham

Faculty, Staff and Student Publications

Background: American Indian and Alaska Native (AI/AN) youth experience numerous health inequities, including those in sexual, reproductive, and mental health. Implementation of culturally relevant, age-appropriate evidence-based programs may mitigate these inequities. However, numerous barriers limit the adoption and implementation of evidence-based adolescent health promotion programs in AI/AN communities.

Objective: This study examines user reach and engagement from 2022 to 2024 of web-based decision support (the Healthy Native Youth [HNY] website and the embedded HNY Implementation Toolbox), designed to increase the implementation of evidence-based adolescent health promotion programming in AI/AN communities.

Methods: Promotional strategies were designed for optimal geographic reach to …

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. …

G-Protein-Coupled Estrogen Receptor 1 And Pregnancy Confer Protection Against Hypertension In Older Females, Ravneet Singh, Supaporn Kulthinee, Victoria L Nasci, Elvis A Akwo, Chibundu Juliet Umunna, Rawan N Almutlaq, Oleh M Pochynyuk, Cassianne Robinson-Cohen, Eman Y Gohar

Faculty, Staff and Student Publications

No abstract provided.

Single-Cell Analyses Reveal A Functionally Heterogeneous Exhausted Cd8+ T-Cell Subpopulation That Is Correlated With Response To Checkpoint Therapy In Melanoma, Kelly M Mahuron, Osmaan Shahid, Prachi Sao, Clinton Wu, Alexandra M Haugh, Laura A Huppert, Lauren S Levine, Margaret M Lowe, Michael Alvarado, Markee Micu, Katy K Tsai, Melissa Chow, Meromit Singer, Jason M Schenkel, Arlene H Sharpe, Michael D Rosenblum, Kristen E Pauken, Adil I Daud

Faculty, Staff and Student Publications

PD-1 pathway inhibitors have revolutionized cancer therapy. However, most patients do not durably benefit, highlighting the need for biomarkers to stratify patients as responders or nonresponders. Although CD8+ tumor-infiltrating lymphocytes (TIL) have been associated with immune checkpoint therapy response, there is no consensus on which CD8+ TIL subpopulations have the most prognostic value. Preclinical studies have focused on progenitor-like exhausted CD8+ T cells (TPEX) because TPEX proliferate more in response to PD-1 inhibitors than other exhausted T-cell (TEX) subpopulations. However, immune checkpoint inhibitor treatment drives TPEX differentiation into other TEX populations that can mediate antitumor immunity. These data complicate the …

Vacuum Erectile Devices For Erectile Dysfunction: Recommendations From The 5th International Consultation On Sexual Medicine, Run Wang, Francisco E Martins, David Ralph, Georgios Hatzichristodoulou, Daniar Osmonov, Justin Parker, Sung Hun Sean Park, Ignacio Moncada, Carlo Bettocchi, Ricardo Munarriz, Tobias Köhler

Faculty, Staff and Student Publications

Introduction: Vacuum erectile device (VED) is 1 of the main approved therapies for erectile dysfunction (ED). The introduction of phosphodiesterase type 5 inhibitor (PDE5i) for ED significantly changed the roles of VED in contemporary sexual medicine.

Objective: To provide updated clinical evidence to inform health care providers on best practices with VED.

Methods: A consensus panel was held with leading sexual medicine experts during the 5th International Consultation on Sexual Medicine (ICSM). Relevant peer-reviewed literature was reviewed with focus on research from the last 10 years, but not limited to the last 10 years. The expert panel generated consensus statements …

Leveraging Pretrained Language Models For Seizure Frequency Extraction From Epilepsy Evaluation Reports, Rashmie Abeysinghe, Shiqiang Tao, Samden D Lhatoo, Guo-Qiang Zhang, Licong Cui

Faculty, Staff and Student Publications

Seizure frequency is essential for evaluating epilepsy treatment, ensuring patient safety, and reducing risk for Sudden Unexpected Death in Epilepsy. As this information is often described in clinical narratives, this study presents an approach to extracting structured seizure frequency details from such unstructured text. We investigated two tasks: (1) extracting phrases describing seizure frequency, and (2) extracting seizure frequency attributes. For both tasks, we fine-tuned three BERT-based models (bert-large-cased, biobert-large-cased, and Bio_ClinicalBERT), as well as three generative large language models (GPT-4, GPT-3.5 Turbo, and Llama-2-70b-hf). The final structured output integrated the results from both tasks. GPT-4 attained the best performance …

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 …

Large-Scale Multi-Omics Analyses In Hispanic/Latino Populations Identify Genes For Cardiometabolic Traits, Lauren E Petty, Hung-Hsin Chen, Elizabeth G Frankel, Wanying Zhu, Carolina G Downie, Mariaelisa Graff, Phillip Lin, Priya Sharma, Xinruo Zhang, Alyssa C Scartozzi, Rashedeh Roshani, Joshua M Landman, Michael Boehnke, Donald W Bowden, John C Chambers, Anubha Mahajan, Mark I Mccarthy, Maggie C Y Ng, Xueling Sim, Cassandra N Spracklen, Weihua Zhang, Michael Preuss, Erwin P Bottinger, Girish N Nadkarni, Ruth J F Loos, Yii-Der Ida Chen, Jingyi Tan, Eli Ipp, Pauline Genter, Leslie S Emery, Tin Louie, Tamar Sofer, Adrienne M Stilp, Kent D Taylor, Anny H Xiang, Thomas A Buchanan, Kathryn Roll, Chuan Gao, Nicholette D Palmer, Jill M Norris, Lynne E Wagenknecht, Darryl Nousome, Rohit Varma, Roberta Mckean-Cowdin, Xiuqing Guo, Yang Hai, Willa Hsueh, Kevin Sandow, Esteban J Parra, Miguel Cruz, Adan Valladares-Salgado, Niels Wacher-Rodarte, Jerome I Rotter, Mark O Goodarzi, Stephen S Rich, Alain Bertoni, Leslie J Raffel, Jerry L Nadler, Fouad R Kandeel, Ravindranath Duggirala, John Blangero, Donna M Lehman, Ralph A Defronzo, Farook Thameem, Yujie Wang, Sheila Gahagan, Estela Blanco, Raquel Burrows, Alicia Huerta-Chagoya, Jose C Florez, Teresa Tusie-Luna, Clicerio González-Villalpando, Lorena Orozco, Christopher A Haiman, Craig L Hanis, Rebecca Rohde, Eric A Whitsel, Alexander P Reiner, Charles Kooperberg, Yun Li, Qing Duan, Miryoung Lee, Paulina Correa-Burrows, Susan K Fried, Kari E North, Joseph B Mccormick, Susan P Fisher-Hoch, Eric R Gamazon, Andrew P Morris, Josep M Mercader, Heather M Highland, Jennifer E Below

Faculty, Staff and Student Publications

Here, we present a multi-omics study of type 2 diabetes and quantitative blood lipid and lipoprotein traits conducted to date in Hispanic/Latino populations (nmax = 63,184). We conduct a meta-analysis of 16 type 2 diabetes and 19 lipid trait GWAS, identifying 20 genome-wide significant loci for type 2 diabetes, including one novel locus and novel signals at two known loci, based on fine-mapping. We also identify sixty-one genome-wide significant loci across the lipid/lipoprotein traits, including nine novel loci, and novel signals at 19 known loci through fine-mapping. Next, we analyze genetically regulated expression, perform Mendelian randomization, and analyze association with …