Biomedical Informatics Commons^™

Vagus Nerve Stimulation For The Therapy Of Dravet Syndrome: A Systematic Review And Meta-Analysis, Shuang Chen, Man Li, Ming Huang

Faculty, Staff and Student Publications

OBJECTIVE: Dravet syndrome (DS) is a refractory developmental and epileptic encephalopathy characterized by seizures, developmental delay and cognitive impairment with a variety of comorbidities, including autism-like behavior, speech dysfunction, and ataxia. Vagus nerve stimulation (VNS) is one of the common therapies for DS. Here, we aim to perform a meta-analysis and systematic review of the efficacy of VNS in DS patients.

METHODS: We systematically searched four databases (PubMed, Embase, Cochrane and CNKI) to identify potentially eligible studies from their inception to January 2024. These studies provided the effective rate of VNS in treating patients with DS. The proportions of DS …

Testing The Strength Of Thin Feather-Edge Monolithic Multilayered Zirconia Crowns: A Pilot Study With A Novel Acoustic Test, Estelle Saab, Camille Haddad, Maher Abboud, Maha Daou, Amine Zoghbi

International Arab Journal of Dentistry

Introduction: Limited research has explored the mechanical characteristics of recently introduced multilayered monolithic zirconia (MZC) crowns with feather-edge margins design. Moreover, most of the conventional techniques for evaluating the mechanical behavior of brittle dental ceramics rely on destructive tests, making it impossible to precisely evaluate real strength values due to premature crack initiation detection failure.

Objectives: The main objective of the study was to assess the load capacity of translucent multilayered monolithic zirconia crowns with feather-edge margin thicknesses of 0.4 mm and 0.5 mm. Additionally, the research introduced a novel non-destructive acoustic emission testing (AET) technique in the …

Outcomes For Patients With Head And Neck Sarcoma Treated Curatively With Radiation Therapy And Surgery, Alison K Yoder, Ahsan Farooqi, Devarati Mitra, J Andrew Livingston, Dejka M Araujo, Erich M Sturgis, Ryan Goepfert, Andrew J Bishop, B Ashleigh Guadagnolo

Faculty, Staff and Student Publications

PURPOSE: Soft tissue sarcomas (STSs) of the head and neck (H&N) are rare malignancies that are challenging to manage. We sought to describe the outcomes of patients treated with curative intent using combined surgery and radiation therapy (RT) for H&N STS.

METHODS AND MATERIALS: We performed a single-institution retrospective review of patients with nonmetastatic STS of the H&N who were treated from 1968 to 2020. The Kaplan-Meier method was used to estimate disease-specific survival (DSS) and local control (LC). Multivariable analyses (MVAs) were conducted using Cox proportional hazards model.

RESULTS: One hundred ninety-two patients had a median follow-up of 82 …

Fgf5, Evelyn A Carrion, Malcolm M Moses, Richard R Behringer

Faculty, Staff and Student Publications

FGF5 functions as a negative regulator of the hair cycle in mammals. It is expressed in the outer root sheath of hair follicles during the late anagen phase of the hair cycle. It functions as a signaling molecule, mediating the transition of the anagen growth phase to catagen regression phase of the hair cycle. Spontaneous and engineered FGF5 mutations in mammalian animal models result in long hair phenotypes. In humans, inherited FGF5 mutations result in trichomegaly (long eyelashes). Knockdown of fgf5 in zebrafish embryos results in inner ear alterations. Alterations in FGF5 expression are also associated with various human pathologies.

Sudden Unexpected Intrapartum Death And Left Ventricular Noncompaction Involving The Right Ventricle, Giulia Ottaviani, Tobia Tomasello, Francesca Boggio, Letterio Runza, Alessandro Del Gobbo, L Maximilian Buja

Faculty, Staff and Student Publications

Left ventricular noncompaction (LVNC), involving mainly the right ventricle, is a rare form of congenital heart disorder characterized by a developmental arrest in myocardial compaction, resulting in a spongy appearance of the myocardium, mainly of the right ventricle, rarely detected in fetuses. We report the case of a female fetus with a gestational age of 41+4 weeks who came to our attention for intrapartum sudden unexpected death, resulting in stillbirth. The ventricular walls, particularly the right ventricular wall, appeared thick, hypertrabeculated and spongy, leading to the diagnosis of LVNC involving mainly the right ventricle. The atrioventricular node and His bundle …

Chronic Lymphocytic Leukemia: Disease Biology, Stefan Koehrer, Jan A Burger

Faculty, Staff and Student Publications

Background: B-cell receptor (BCR) signaling is crucial for normal B-cell development and adaptive immunity. In chronic lymphocytic leukemia (CLL), the malignant B cells display many features of normal mature B lymphocytes, including the expression of functional B-cell receptors (BCRs). Cross talk between CLL cells and the microenvironment in secondary lymphatic organs results in BCR signaling and BCR-driven proliferation of the CLL cells. This critical pathomechanism can be targeted by blocking BCR-related kinases (BTK, PI3K, spleen tyrosine kinase) using small-molecule inhibitors. Among these targets, Bruton tyrosine kinase (BTK) inhibitors have the highest therapeutic efficacy; they effectively block leukemia cell proliferation and …

Enhancing Associative Learning In Rats With A Computationally Designed Training Protocol, Xu O Zhang, Yili Zhang, Claire E Cho, Douglas S Engelke, Paul Smolen, John H Byrne, Fabricio H Do-Monte

Faculty, Staff and Student Publications

Background: Learning requires the activation of protein kinases with distinct temporal dynamics. In Aplysia, nonassociative learning can be enhanced by a computationally designed learning protocol with intertrial intervals (ITIs) that maximize the interaction between fast-activated PKA (protein kinase A) and slow-activated ERK (extracellular signal-regulated kinase). Whether a similar strategy can enhance associative learning in mammals is unknown.

Methods: We simulated 1000 training protocols with varying ITIs to predict an optimal protocol based on empirical data for PKA and ERK dynamics in rat hippocampus. Adult male rats received the optimal protocol or control protocols in auditory fear conditioning and fear …

Author Correction: Enhanced Cd19 Activity In B Cells Contributes To Immunodeficiency In Mice Deficient In The Icf Syndrome Gene Zbtb24, Zhengzhou Ying, Swanand Hardikar, Joshua B Plummer, Tewfik Hamidi, Bin Liu, Yueping Chen, Jianjun Shen, Yunxiang Mu, Kevin M Mcbride, Taiping Chen

Faculty, Staff and Student Publications

No abstract provided.

Risk Stratification And Prediction Of Severity Of Covid-19 Infection In Patients With Preexisting Cardiovascular Disease, Stanislava Matejin, Igor D Gregoric, Rajko Radovancevic, Slobodan Paessler, Vladimir Perovic

Faculty, Staff and Student Publications

Introduction: Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 is a highly contagious viral disease. Cardiovascular diseases and heart failure elevate the risk of mechanical ventilation and fatal outcomes among COVID-19 patients, while COVID-19 itself increases the likelihood of adverse cardiovascular outcomes.

Methods: We collected blood samples and clinical data from hospitalized cardiovascular patients with and without proven COVID-19 infection in the time period before the vaccine became available. Statistical correlation analysis and machine learning were used to evaluate and identify individual parameters that could predict the risk of needing mechanical ventilation and patient survival.

Results: Our results confirmed that COVID-19 …

Leptomeningeal Disease In Melanoma: An Update On The Developments In Pathophysiology And Clinical Care, Inna Smalley, Adrienne Boire, Priscilla Brastianos, Harriet M Kluger, Eva Hernando-Monge, Peter A Forsyth, Kamran A Ahmed, Keiran S M Smalley, Sherise Ferguson, Michael A Davies, Isabella C Glitza Oliva

Faculty, Staff and Student Publications

Leptomeningeal disease (LMD) remains a major challenge in the clinical management of metastatic melanoma patients. Outcomes for patient remain poor, and patients with LMD continue to be excluded from almost all clinical trials. However, recent trials have demonstrated the feasibility of conducting prospective clinical trials in these patients. Further, new insights into the pathophysiology of LMD are identifying rational new therapeutic strategies. Here we present recent advances in the understanding of, and treatment options for, LMD from metastatic melanoma. We also annotate key areas of future focus to accelerate progress for this challenging but emerging field.

Myeloid Lineage Switch In Kmt2a- Rearranged Acute Lymphoblastic Leukemia Treated With Lymphoid Lineagedirected Therapies, Alex Bataller, Tareq Abuasab, David Mccall, Wei Wang, Branko Cuglievan, Ghayas C Issa, Elias Jabbour, Nicholas Short, Courtney D Dinardo, Guilin Tang, Guillermo Garcia-Manero, Hagop M Kantarjian, Koji Sasaki

Faculty, Staff and Student Publications

No abstract provided.

Editorial: Mathematical Modeling And Computational Predictions In Oncoimmunology, Vladimir A Kuznetsov, Heiko Enderling, Mark Chaplain

Faculty, Staff and Student Publications

No abstract provided.

Spatial Multiplexing And Omics, Julienne L Carstens, Santhoshi N Krishnan, Arvind Rao, Anna G Sorace, Erin H Seeley, Sammy Ferri-Borgogno, Jared K Burks

Faculty, Staff and Student Publications

Much like solving a game of Clue, understanding physiological mysteries involves answering who, what, when, and where. Multi-omics approaches delve into cellular and molecular identities (the who and what), while longitudinal data collection addresses the when. Spatial dimensions address the where. This Primer discusses current technologies enabling quantification across biological scales, emphasizing the importance of retaining the spatial dimension of that data. We outline experimental design considerations, including targeted versus untargeted approaches, sample types, biological scale, and four main classes of molecule detection. Spatial analytics are explored, covering questioning approaches, analytical platforms, image segmentation and sampling. Example applications, reproducibility considerations, …

Weak Supervision, Strong Results: Achieving High Performance In Intracranial Hemorrhage Detection With Fewer Annotation Labels, Kareem A Wahid, David Fuentes

Faculty, Staff and Student Publications

No abstract provided.

The Impact Of Psychological Strengths On Veteran Populations' Mental Health Trajectories During The Covid-19 Pandemic, Amanda Mccleery, Jonathan K Wynn, Derek M Novacek, Eric A Reavis, Damla Senturk, Catherine A Sugar, Jack Tsai, Michael F Green

Faculty, Staff and Student Publications

Purpose: Mental health trajectories during the COVID-19 pandemic have been examined in Veterans with tenuous social connections, i.e., those with recent homelessness (RHV) or a psychotic disorder (PSY), and in control Veterans (CTL). We test potential moderating effects on these trajectories by psychological factors that may help individuals weather the socio-emotional challenges associated with the pandemic (i.e., 'psychological strengths').

Methods: We assessed 81 PSY, 76 RHV, and 74 CTL over 5 periods between 05/2020 and 07/2021. Mental health outcomes (i.e., symptoms of depression, anxiety, contamination concerns, loneliness) were assessed at each period, and psychological strengths (i.e., a composite score based …

Fueling Cardiac Myocyte Proliferation, Manisha Deogharia, Priyatansh Gurha

Faculty, Staff and Student Publications

No abstract provided.

Metformin In Conjunction With Stereotactic Radiotherapy For Early-Stage Non-Small Cell Lung Cancer: Long-Term Results Of A Prospective Phase Ii Clinical Trial, Molly K Tate, Mike Hernandez, Joe Y Chang, Steven H Lin, Zhongxing Liao, Suja M Koshy, Heath D Skinner, Stephen G Chun

Faculty, Staff and Student Publications

Background/aim: Non-small cell lung cancer (NSCLC) is increasingly detected in early stages and there is interest in improving outcomes with stereotactic body radiotherapy (SBRT). As metformin affects NSCLC signaling pathways, it might alter the metabolism of NSCLC treated with SBRT. This study investigated the long-term outcomes of a phase II clinical trial evaluating metformin in conjunction with SBRT for early-stage NSCLC.

Patients and methods: The trial evaluated patients with American Joint Commission on Cancer (AJCC) 7th edition Stage I-II, cT1-T2N0M0 NSCLC who were randomized 6:1 to receive metformin versus placebo in conjunction with SBRT. The outcomes analyzed included local failure …

Predicting Suicidality In Late-Life Depression By 3d Convolutional Neural Network And Cross-Sample Entropy Analysis Of Resting-State Fmri, Chemin Lin, Chih-Mao Huang, Wei Chang, You-Xun Chang, Ho-Ling Liu, Shu-Hang Ng, Huang-Li Lin, Tatia Mei-Chun Lee, Shwu-Hua Lee, Shun-Chi Wu

Faculty, Staff and Student Publications

Background: Predicting suicide is a pressing issue among older adults; however, predicting its risk is difficult. Capitalizing on the recent development of machine learning, considerable progress has been made in predicting complex behavior such as suicide. As depression remained the strongest risk for suicide, we aimed to apply deep learning algorithms to identify suicidality in a group with late-life depression (LLD).

Methods: We enrolled 83 patients with LLD, 35 of which were non-suicidal and 48 were suicidal, including 26 with only suicidal ideation and 22 with past suicide attempts, for resting-state functional magnetic resonance imaging (MRI). Cross-sample entropy (CSE) analysis …

A Milestone In Epithelial-Mesenchymal Transition, Yutong Sun, Li Ma

Faculty, Staff and Student Publications

No abstract provided.

A Reinforcement Learning (Rl)-Motivated Simulation Framework For Evaluating Vancomycin Dosing Strategies, Bingyu Mao, Ziqian Xie, Laila Rasmy, Masayuki Nigo, Degui Zhi

Faculty, Staff and Student Publications

Achieving and maintaining the therapeutic range in vancomycin treatment is important for optimal outcomes. While guidelines and best practices based on empirical studies exist, the theoretical best dosing strategies under various conditions remain illusive. We developed an RL-based simulation framework using a deep learning two-compartment pharmacokinetic model (PK-RNN-2CM) and introduced the area under the time-concentration curve (AUC) reward score, which translates clinical guidelines into an RL reward. Ground truth time-concentration curves were generated from patient-specific data, and simulated curves were produced under different dosing strategies with optional noise perturbations to mimic real-world settings. Evaluation metrics included 24-hour AUC assessments and …

Correction: Preclinical Development Of 1b7/Cd3, A Novel Anti-Tslpr Bispecific Antibody That Targets Crlf2-Rearranged Ph-Like B-All, Ze Tian, Chunhua Shi, Guojun Yang, Jason K Allen, Qing Shi, Amin Al-Shami, Jill Wardell Olson, Melinda G Smith, Qing Chang, Jasbir Kaur, Junping You, Timothy E Lofton, Michelle A Gonzalez, Qi Zhang, Dongxing Zha, Sarah K Tasian, Nitin Jain, Marina Y Konopleva, Timothy Heffernan, Jeffrey J Molldrem

Faculty, Staff and Student Publications

No abstract provided.

Real-World Analysis Of Safety And Efficacy Of Car T-Cell Therapy In Lymphoma Patients With Decreased Kidney Function, Omar Mamlouk, Paolo Strati, Lei Feng, Ryan Sun, Amy Ayers, Raphael E Steiner, Ranjit Nair, Christopher Flowers, Jeremy L Ramdial, Neeraj Saini, Samer A Srour, Richard E Champlin, Partow Kebriaei, Loretta J Nastoupil, Maria A Rodriguez, Elizabeth J Shpall, Yago Nieto, Jason Westin, Sattva S Neelapu, Sreedhar Mandayam, Sairah Ahmed

Faculty, Staff and Student Publications

No abstract provided.

Multicenter Randomized Controlled Trial Of Exercise In Aortic Dissection Survivors: Rationale, Design, And Initial Hemodynamic Data, Yasmin A Toy, Kayla N House, Leslie M Boyer, Jennifer L Mcnamara, Marion A Hofmann-Bowman, Kim A Eagle, Michelle S Lim, Alan C Braverman, Siddharth K Prakash

Faculty, Staff and Student Publications

Aims: There are currently no evidence-based guidelines for exercise after thoracic aortic dissection (TAD), leading to highly variable recommendations that frequently lead patients to restrict their physical activities. This multicenter randomized controlled trial was intended to evaluate the safety and efficacy of a moderate intensity guided exercise program for TAD survivors.

Methods: Participants were eligible if they had a Type A or Type B dissection at least 90 days before enrollment and could attend two in-person study visits. The guided exercise circuit consisted of six aerobic, isotonic, or isometric exercises that participants continued at home with virtual follow-up sessions. The …

Federated Multiple Imputation For Variables That Are Missing Not At Random In Distributed Electronic Health Records, Yi Lian, Xiaoqian Jiang, Qi Long

Faculty, Staff and Student Publications

Large electronic health records (EHR) have been widely implemented and are available for research activities. The magnitude of such databases often requires storage and computing infrastructure that are distributed at different sites. Restrictions on data-sharing due to privacy concerns have been another driving force behind the development of a large class of distributed and/or federated machine learning methods. While missing data problem is also present in distributed EHRs, albeit potentially more complex, distributed multiple imputation (MI) methods have not received as much attention. An important advantage of distributed MI, as well as distributed analysis, is that it allows researchers to …

Large Language Models Struggle In Token-Level Clinical Named Entity Recognition, Qiuhao Lu, Rui Li, Andrew Wen, Jinlian Wang, Liwei Wang, Hongfang Liu

Faculty, Staff and Student Publications

Large Language Models (LLMs) have revolutionized various sectors, including healthcare where they are employed in diverse applications. Their utility is particularly significant in the context of rare diseases, where data scarcity, complexity, and specificity pose considerable challenges. In the clinical domain, Named Entity Recognition (NER) stands out as an essential task and it plays a crucial role in extracting relevant information from clinical texts. Despite the promise of LLMs, current research mostly concentrates on document-level NER, identifying entities in a more general context across entire documents, without extracting their precise location. Additionally, efforts have been directed towards adapting ChatGPTfor token-level …

Microstructural Organization Of Distributed White Matter Associated With Fine Motor Control In Us Service Members With Mild Traumatic Brain Injury, Benjamin S C Wade, David F Tate, Eamonn Kennedy, Erin D Bigler, Gerald E York, Brian A Taylor, Maya Troyanskaya, Elizabeth S Hovenden, Naomi Goodrich-Hunsaker, Mary R Newsome, Emily L Dennis, Tracy Abildskov, Mary Jo Pugh, William C Walker, Kimbra Kenney, Aaron Betts, Robert Shih, Robert C Welsh, Elisabeth A Wilde

Faculty, Staff and Student Publications

Mild traumatic brain injury (mTBI) is the most common form of brain injury. While most individuals recover from mTBI, roughly 20% experience persistent symptoms, potentially including reduced fine motor control. We investigate relationships between regional white matter organization and subcortical volumes associated with performance on the Grooved Pegboard (GPB) test in a large cohort of military Service Members and Veterans (SM&Vs) with and without a history of mTBI(s). Participants were enrolled in the Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium. SM&Vs with a history of mTBI(s) (n = 847) and without mTBI (n = …

Editorial: Methods And Applications Of Tumour Metabolic Imaging In The Preclinical And Clinical Setting, Liangjie Lin, Zhiliang Wei, Jing Wang, Nian Wang

Faculty, Staff and Student Publications

No abstract provided.

Deep Filtered Back Projection For Ct Reconstruction, X I Tan, Xuan Liu, Kai Xiang, Jing Wang, Shan Tan

Faculty, Staff and Student Publications

Filtered back projection (FBP) is a classic analytical algorithm for computed tomography (CT) reconstruction, with high computational efficiency. However, images reconstructed by FBP often suffer from excessive noise and artifacts. The original FBP algorithm uses a window function to smooth signals and a linear interpolation to estimate projection values at un-sampled locations. In this study, we propose a novel framework named DeepFBP in which an optimized filter and an optimized nonlinear interpolation operator are learned with neural networks. Specifically, the learned filter can be considered as the product of an optimized window function and the ramp filter, and the learned …

Registration Of Hyperspectral Images And Mass Spectrometry Data For The Correlation Of Tissue Optical Spectra And Molecular Profiles, Angie T Fei, Douglas W Strand, Jing Wang

Faculty, Staff and Student Publications

Hyperspectral imaging (HSI) is a label-free imaging modality that is emerging for non-invasive detection of various diseases including cancers. HSI provides high-resolution spatial images where each pixel has a spectral curve with numerous wavelength bands from the visible to infrared ranges. The rich spatial and spectral information can be used to discriminate various types of tissues and pathophysiological conditions. However, it can be difficult to explain spectral data with respect to the underline cellular and molecular mechanism. In this study, we developed an approach that registers hyperspectral images and mass spectrometry (MS) data where MS provides tissue molecular profiles. Human …

Refinement Of An Emergency Department-Based, Advance Care Planning Intervention For Patients With Cognitive Impairment And Their Caregivers, Kei Ouchi, Christopher Joshi, Jenson Kaithamattam, Seth A Gale, Gad A Marshall, Alison Pietras, Wei Wang, Edward W Boyer, James A Tulsky, Susan D Block, Dorene Rentz, Mara A Schonberg

Faculty, Staff and Student Publications

Background and objectives: Advance care planning (ACP) conversations are important to provide goal-concordant care (i.e., the care that matches the patient's previously stated goals) near end of life. While 31% of older adults presenting to the emergency department (ED) have dementia, only 39% have previously had ACP conversations. We refined and piloted an ED-based, motivational interview designed to stimulate ACP conversations (ED GOAL) for patients living with cognitive impairment and their caregivers.

Research design and methods: We systematically refined ED GOAL and then conducted an acceptability study in an urban, academic medical center. We prospectively enrolled adults aged 50+ with …