Digital Commons Network^™

Implementing Radformation At Personalized Radiation Oncology: Enhancing Efficiency And Precision, Devin J. Peart

UNLV Theses, Dissertations, Professional Papers, and Capstones

RadMachine is a data quality management application implemented at Personalized Radiation Oncology (PRO) to streamline quality assurance (QA) tests. It offers various functions assisting medical physicists in a radiation oncology clinic, including inputting, analyzing, managing, exporting, and monitoring QA data. Physicists create test lists following the recommendations provided by the American Association of Medical Physics (AAPM). These lists track results for units such as the Varian Edge, Varian BRAVOS, and Siemens SOMATOM go.Open Pro CT scanner. Ancillary equipment used for testing also has assigned test lists to store calibration factors and receive calibration expiration reminders. The primary goal of utilizing …

Molecular Mechanisms Of Exercise-Stimulated Resolution Of Inflammation And Its Dietary Dependence., Ernesto H. Pena Calderin

Electronic Theses and Dissertations

Diet-induced obesity and adipose tissue (AT) inflammation that ensues sets the stage for systemic metabolic inflammation, disrupted insulin signaling, and eventual type 2 diabetes (T2D) development. At the center of this pathology lies a disruption in endogenous inflammation resolution pathways characterized by an imbalance in lipid mediator production (greater abundance of pro-inflammatory to pro-resolving lipids). Additionally, obese states are characterized by adrenergic deficiency, especially in response to physical activity. Inflammatory processes have been experimentally mitigated by either the pharmacological inhibition of pro-inflammatory signals (i.e., Leukotriene B₄ (LTB₄) and its receptor BLT1, which establishes a potent chemotactic stimulus …

Interpretation Models For Prostate Lesion: Detecting, Explaining, And Understanding., Mehmet Akif Gulum

Electronic Theses and Dissertations

Prostate cancer is a major public health concern, affecting millions of men worldwide. While early detection and treatment of prostate cancer is critical for improving patient outcomes, the detection of prostate lesions is even more important for timely intervention and management of the disease. Prostate lesions are abnormal growths or lumps within the prostate gland, which may or may not be cancerous. The timely detection and accurate diagnosis of prostate lesions is crucial for effective treatment and management of the disease. In recent years, deep learning models have shown promise in accurately detecting and characterizing prostate lesions using advanced imaging …

Neural Interactions In Bottom-Up Communication, Prashant Chama Raju

Graduate Theses and Dissertations

The visual system’s remarkable ability to process vast amounts of sensory information rapidly and accurately is fundamental to cognitive neuroscience. This study investigates a key aspect of this capability: the compartmentalization of information into feature-specific subspaces during bottom-up communication. My primary question was: does Canonical Correlation Analysis (CCA) reveal a subspace that encodes color and direction of moving dot stimuli? I found that the first canonical component (CC1) does an excellent job decoding the stimuli, despite being one-dimensional while the stimuli were drawn from a two-dimensional space (red-green and up-down plane). I demonstrate that motion features are processed within distinct …

Acute Changes In Inflammatory Biomarkers Expression Following Cosmetic Surgery With Use Of Compression Garment, Michael James Sanchez

Open Access Theses & Dissertations

BACKGROUND: Inflammation is an acute phase response to physiological conditions such as infection, tissue injury, and tissue stress and malfunction (Medzhitov, 2008). Inflammation caused by surgical trauma (tissue injury) elicits a myriad of responses by the patient that is experienced far past the operation. It is estimated that American individuals will undergo nine surgeries throughout an 85 year lifespan (Lee & Gawande, 2008). Focus on surgical recovery modalities has grown over the past few decades. The use of compression garments (CG+) following surgery has been shown to be successful in preventing deep vein thrombosis, pulmonary embolisms, as well as aiding …

Grace Periods In Comparative Effectiveness Studies Of Sustained Treatments, Kerollos Nashat Wanis, Aaron L Sarvet, Lan Wen, Jason P Block, Sheryl L Rifas-Shiman, Jessica G Young

Faculty, Staff and Student Publications

Researchers are often interested in estimating the effect of sustained use of a treatment on a health outcome. However, adherence to strict treatment protocols can be challenging for individuals in practice and, when non-adherence is expected, estimates of the effect of sustained use may not be useful for decision making. As an alternative, more relaxed treatment protocols which allow for periods of time off treatment (i.e. grace periods) have been considered in pragmatic randomized trials and observational studies. In this article, we consider the interpretation, identification, and estimation of treatment strategies which include grace periods. We contrast natural grace period …

Markov Models For Clinical Decision-Making In Radiation Oncology: A Systematic Review, Lucas B Mccullum, Aysenur Karagoz, Cem Dede, Raul Garcia, Fatemeh Nosrat, Seyedmohammadhossein Hosseinian, Clifton D Fuller

Faculty, Staff and Student Publications

The intrinsic stochasticity of patients' response to treatment is a major consideration for clinical decision-making in radiation therapy. Markov models are powerful tools to capture this stochasticity and render effective treatment decisions. This paper provides an overview of the Markov models for clinical decision analysis in radiation oncology. A comprehensive literature search was conducted within MEDLINE using PubMed, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Only studies published from 2000 to 2023 were considered. Selected publications were summarized in two categories: (i) studies that compare two (or more) fixed treatment policies using Monte Carlo simulation …

Mapping The Single-Cell Differentiation Landscape Of Osteosarcoma, Danh D Truong, Corey Weistuch, Kevin A Murgas, Prasad Admane, Bridgette L King, Salah-E Lamhamedi-Cherradi, Najat C Daw, Nancy Gordon, Vidya Gopalakrishnan, Richard G Gorlick, Neeta Somaiah, Joseph O Deasy, Antonios G Mikos, Allen Tannenbaum, Joseph Ludwig

Faculty, Staff and Student Publications

Purpose: The genetic intratumoral heterogeneity observed in human osteosarcomas poses challenges for drug development and the study of cell fate, plasticity, and differentiation, which are processes linked to tumor grade, cell metastasis, and survival.

Experimental design: To pinpoint errors in osteosarcoma differentiation, we transcriptionally profiled 31,527 cells from a tissue-engineered model that directs mesenchymal stem cells toward adipogenic and osteoblastic fates. Incorporating preexisting chondrocyte data, we applied trajectory analysis and non-negative matrix factorization to generate the first human mesenchymal differentiation atlas.

Results: This "roadmap" served as a reference to delineate the cellular composition of morphologically complex osteosarcoma tumors and quantify …

Relationship Between The Physical Properties And Oil Binding Capacity Of Fats, Melissa Abigail Marsh

All Graduate Theses and Dissertations, Fall 2023 to Present

Fats play a significant role in shaping the characteristics of foods, influencing texture, mouthfeel, appearance, and nutritional attributes. An important property of fats is their ability to entrap liquid oil known as oil binding capacity (OBC). Poor OBC of fats frequently leads to shortened-shelf life of foods caused by quality issues due to unwanted chemical and physical changes. In natural nut butters without additives, low OBC often results in a visual oil layer forming at the surface. In filled chocolates such as truffles, pralines, and peanut butter cups this low OBC can result in unwanted textural and visual changes.

The …

Cluster-Based Toxicity Estimation Of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability By Using Whole Dose-Volume Histograms For Cohort Risk Stratification, Seyedmohammadhossein Hosseinian, Mehdi Hemmati, Cem Dede, Travis C Salzillo, Lisanne V Van Dijk, Stephen Y Lai, Clifton D Fuller

Faculty, Staff and Student Publications

PURPOSE: Given the limitations of extant models for normal tissue complication probability estimation for osteoradionecrosis (ORN) of the mandible, the purpose of this study was to enrich statistical inference by exploiting structural properties of data and provide a clinically reliable model for ORN risk evaluation through an unsupervised-learning analysis that incorporates the whole radiation dose distribution on the mandible.

METHODS AND MATERIALS: The analysis was conducted on retrospective data of 1259 patients with head and neck cancer treated at The University of Texas MD Anderson Cancer Center between 2005 and 2015. During a minimum 12-month posttherapy follow-up period, 173 patients …

Benchmarking Lung Cancer Screening Programmes With Adaptive Screening Frequency Against The Optimal Screening Schedules Derived From The Engage Framework: A Comparative Microsimulation Study, Mehdi Hemmati, Sayaka Ishizawa, Rafael Meza, Edwin Ostrin, Samir M Hanash, Andrew J Schaefer, Iakovos Toumazis

Faculty, Staff and Student Publications

Background: Lung cancer screening recommendations employ annual frequency for eligible individuals, despite evidence that it may not be universally optimal. The impact of imposing a structure on the screening frequency remains unknown. The ENGAGE framework, a validated framework that offers fully dynamic, analytically optimal, personalised lung cancer screening recommendations, could be used to assess the impact of screening structure on the effectiveness and efficiency of lung cancer screening.

Methods: In this comparative microsimulation study, we benchmarked alternative clinically relevant structured lung cancer screening programmes employing a fixed (annual or biennial) or adaptive (start with annual/biennial screening and then switch to …

Interpregnancy Interval And Adverse Perinatal Outcomes: A Within-Individual Comparative Method, Maria Sevoyan, Marco Geraci, Edward A. Frongillo, Jihong Liu, Nansi S. Boghossian

Faculty Publications

Background and Aim: Previously observed associations between interpregnancy interval (IPI) and perinatal outcomes using a between-individual method may be confounded by unmeasured maternal factors. This study aims to examine the association between IPI and adverse perinatal outcomes using within-individual comparative analyses. Methods: We studied 10,647 individuals from the National Institute of Child Health and Human Development Consecutive Pregnancies Study in Utah with ≥3 liveborn singleton pregnancies. We matched two IPIs per individual and used conditional logistic regression to examine the association between IPI and adverse perinatal outcomes, including preterm birth (PTB, < 37 weeks’ gestation), small-for-gestational-age (SGA, < 10th percentile of sex-specific birthweight for gestational age), low birthweight (LBW, < 2,500 g), and neonatal intensive care unit (NICU) admission. Point and 95% confidence interval (CI) estimates were adjusted for factors that vary across pregnancies within individuals. Results: CIs did not unequivocally support either an increase or a decrease in the odds of PTB (adjusted odds ratio [aOR]: 1.31, 95% CI: 0.87, 1.96), SGA (aOR: 0.81, 95% CI: 0.51, 1.28), LBW (aOR: 1.59, 95% CI: 0.90, 2.80), or NICU admission (aOR: 0.96, 95% CI: 0.66, 1.40) for an IPI < 6 months compared to 18–23-months IPI (reference), and neither did the CIs for the aOR of IPIs of 6–11 and 12–18 months compared to the reference. In contrast, an IPI ≥24 months was associated with increased odds of LBW (aOR: 1.66, 95% CI: 1.03, 2.66 for 24–29 months; aOR: 2.27, 95% CI: 1.21, 4.29 for 30–35 months; and aOR: 2.09, 95% CI: 1.17, 3.72 for ≥36 months). Conclusions: Using a within-individual comparative method, we did not find evidence that a short IPI compared to the recommended IPI of 18–23 months was associated with increased odds of PTB, SGA, LBW, and NICU admission. IPI ≥ 24 months was associated with increased odds of delivering an LBW infant.

Active Mutual Conjoint Estimation Of Multiple Contrast Sensitivity Functions, Dom C P Marticorena, Quinn Wai Wong, Jake Browning, Ken Wilbur, Pinakin Gunvant Davey, Aaron R Seitz, Jacob R Gardner, Dennis L Barbour

2020-Current year OA Pubs

Recent advances in nonparametric contrast sensitivity function (CSF) estimation have yielded a new tradeoff between accuracy and efficiency not available to classical parametric estimators. An additional advantage of this new framework is the ability to independently tune multiple aspects of the estimator to seek further improvements. Machine learning CSF estimation with Gaussian processes allows for design optimization in the kernel, acquisition function, and underlying task representation, to name a few. This article describes a novel kernel for CSF estimation that is more flexible than a kernel based on strictly functional forms. Despite being more flexible, it can result in a …

Bibliometric Analysis Of Research Trends And Novelties For Pneumonia In Children, Ariyani Lutfitasari, Fitriani Nur Damayanti, Budi Santosa, Lia Mulyanti, Umi Khasanah

Jurnal Keperawatan Indonesia

Pneumonia is the leading cause of death among children globally, with most cases occurring in low- and middle-income nations. Pneumonia in children has been thoroughly researched in numerous countries throughout the world. However, no research performed bibliometric analyses of pneumonia in children. This study aims to use a biometric analysis to determine trends in the number of publications, the number of citations, network visualization, overlay visualization, and density visualization concerning the issue of pneumonia in children. This research method employs a systematic review with stages adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart. The highest …

Medical Imaging Dataset Management Leveraging Deep Learning Frameworks In Breast Cancer Screening, Inchan Hwang

Dissertations

In the domain of Computer-Aided Diagnosis (CADx) for breast cancer diagnosis through mammography, prevailing models have traditionally been trained and validated using old film-based mammography. However, contemporary U.S. hospital practices involve the utilization of Full Field Digital Mammography (FFDM), offering more detailed images captured at various angles than old film-scanned mammography. Despite this shift, the existing body of research predominantly focuses on old-film based datasets, the implications of FFDM for CADx systems have not been understood. This dissertation addresses the issues emerged from FFDM such as data augmentation between old film-based set and new FFDM whether they are more effective …

Spatial Autocorrelation Of Tuberculosis Cases In Central Java Province In 2022, Izzatul Mardiah Saini, Tris Eryando

Jurnal Biostatistik, Kependudukan, dan Informatika Kesehatan

Tuberculosis still becomes a health problem both in the world and in Indonesia. Central Java is The third highest province of tuberculosis in Indonesia. Spatial analysis is an essential tool for evaluating the tuberculosis distribution pattern according to geographic location. This research aims to determine tuberculosis hotspot areas and discover whether there is a spatial correlation between districts/cities in Central Java based on tuberculosis cases using the spatial autocorrelation method through the Moran Index and Local Indicators of Spatial Associations (LISA). Secondary data in the form of the aggregate number of all tuberculosis cases in 2022 was collected from the …

Prevention Of Tuberculosis Transmission Through Mycobacterium Tuberculosis Detection In The Air, Ni Njoman Juliasih, Eko Budi Koendhori, I Nyoman Semita

Kesmas

Tuberculosis (TB) is a dangerous and highly contagious disease. Global cases have increased since, and Indonesia is one of the countries with the highest number of TB cases. This study aimed to prevent TB transmission by analyzing air contamination. Air samples were taken from three primary health cares (PHCs) in Surabaya City, East Java Province, Indonesia, and cultured in Mycobacterium Growth Indicator Tube (MGIT) media. Of the 108 air samples collected, 36 came from the waiting room, 36 from the examination room, and 36 from the laboratory room. As a result, the waiting room (50%), examination room (16.7%), and laboratory …

Health And Environmental Pollution: A Literature Review, Elsa Yuniarti, Levi Anatolia S.M. Exposto, Indang Dewata, Fitra Arya Dwi Nugraha, Alfitri Alfitri

Kesmas

This study aimed to review various studies focusing on pollution that could adversely affect health, including sources, types, and mitigation efforts. The data used were obtained through a search on the Scopus website using the keywords "Health" AND "Pollution" from 2016 to 2023. Using these two keywords, 72 titles and abstracts of papers were successfully found. The results of this literature review were then analyzed with the assistance of NVivo 12 Pro, which grouped the findings based on their impact on health, reasons for pollution, types of pollution, and preventive measures. It was identified that the most common disease was …

Leveraging Generative Artificial Intelligence Models In Patient Education On Inferior Vena Cava Filters, Som Singh, Aleena Jamal, Farah Qureshi, Rohma Zaidi, Fawad Qureshi

SKMC Student Presentations and Publications

Background: Inferior Vena Cava (IVC) filters have become an advantageous treatment modality for patients with venous thromboembolism. As the use of these filters continues to grow, it is imperative for providers to appropriately educate patients in a comprehensive yet understandable manner. Likewise, generative artificial intelligence models are a growing tool in patient education, but there is little understanding of the readability of these tools on IVC filters. Methods: This study aimed to determine the Flesch Reading Ease (FRE), Flesch–Kincaid, and Gunning Fog readability of IVC Filter patient educational materials generated by these artificial intelligence models. Results: The ChatGPT cohort had …

Associations Between Coping Style And Perceptions Of Web-Delivered Physical Activity Messages Among Women In Midlife With Cardiovascular Health Risks, Kristen Pasko

Theses and Dissertations

Midlife women are at unique risk for cardiovascular disease (CVD) and benefit from increasing physical activity (PA). Many PA interventions involve social support, though fail to address related processes such as social comparison. Desire for specific types of social support and comparison may represent emotion-focused versus problem-solving coping, though little is known about women’s preferences for/responses to these coping opportunities. The present study examined women’s selections of PA content in a digital environment. Over 7 days, women in midlife ≥1 CVD risk factor (N = 60, MAge = 50.70, SD = 5.89) wore a PA monitor and visited a proprietary …

Aplicación De La Serie De Fourier En La Eliminación De Armónicos Musicales Para Obtener Un Tono Puro, Kelly Johana Infante Beltrán, Néstor Orlando Forero Díaz, Adalberto Pardo Rodríguez

Educación

Este libro explora la relación entre las matemáticas y la música a través de la aplicación de la serie de Fourier para eliminar armónicos y obtener tonos puros, fundamentales tanto en la audiometría médica como en la afinación de instrumentos musicales. Utilizando herramientas como Matlab y Sonic Visualiser, se analiza la pureza de las cuerdas de la guitarra clásica, destacando la importancia de esta técnica en diversos campos, desde la acústica hasta la medicina. El estudio incluye un simulador en Matlab para eliminar armónicos y una comparación de frecuencias específicas, mostrando cómo la comprensión de la serie de Fourier enriquece …

Safer: Sub-Hypergraph Attention-Based Neural Network For Predicting Effective Responses To Dose Combinations, Xiaoqian Jiang

Faculty, Staff and Student Publications

BACKGROUND: The potential benefits of drug combination synergy in cancer medicine are significant, yet the risks must be carefully managed due to the possibility of increased toxicity. Although artificial intelligence applications have demonstrated notable success in predicting drug combination synergy, several key challenges persist: (1) Existing models often predict average synergy values across a restricted range of testing dosages, neglecting crucial dose amounts and the mechanisms of action of the drugs involved. (2) Many graph-based models rely on static protein-protein interactions, failing to adapt to dynamic and higher-order relationships. These limitations constrain the applicability of current methods.

RESULTS: We introduce …

More Resilience, More Green Berets: A Quantitative Analysis Of The Effects Of Functional Imagery Training During British Army Commando Training, Emma S. J. Yates

The Plymouth Student Scientist

This study investigates the low completion rates of the British Army commando training course in 2018-2019, recorded at 20%, following concerns raised by course Directing Staff. It examines the relationship between resilience and performance in military contexts and evaluates whether resilience-building interventions can improve completion rates. To establish how completion rates could be improved, sixty-two candidates from three commando training cohorts were recruited and assigned to either a Functional Imagery Training (FIT) intervention or a control group. Interventions were delivered in week one of training with a booster in week five. FIT, a goal-centred imagery intervention, has previously improved resilience-related …

Empirical Algorithms For Estimating Downwelling Light Attenuation At Λ=490 Nm From Sentinel-2 In A Narrow Optically Complex Bay, Plymouth Sound, United Kingdom, Louis J. Thornton

The Plymouth Student Scientist

This study investigates the potential of reflectance band ratios, modelled on Sentinel-2’s MultiSpectral Instrument (MSI) bands 10m resolution to estimate the downwelling attenuation coefficient for planar irradiance, Kd(λ), at 490nm (Kd(490)) in Plymouth Sound. Kd(λ) is vital for characterising subsurface light climate, strongly influencing physical and biogeochemical processes in coastal and oceanic waters. In temperate shelf seas, human activities have led to loss in vitality and spatial extent of structurally complex seabed, emphasizing the need for enhanced monitoring. Satellite-based remote sensing (RS) offers spatial and temporal advantages to conventional in situ methods. There are, however two main inadequacies that persist …

The Wellbeing Benefits Of Exposure To Nature: The Difference Between Environment Types On Different Wellbeing Types, Lily-Mae Petherick

The Plymouth Student Scientist

The world is facing a mental health crisis, thus implementing measures to improve wellbeing is a global priority. One way of combating this worldwide issue is through the well-known wellbeing benefits of nature. However, natural environments include more than just the well-known green spaces, and wellbeing encompasses multiple components. Consequently, this study compares the wellbeing outcomes of virtual exposure to a green space, blue space, and urban environment on both hedonic (pleasure) and eudaimonic wellbeing (meaningfulness). A factorial design was employed in which 96 University of Plymouth students watched one stressor video and then one of three environment videos (green, …

The Significant Role Of Amino Acid Metabolic Reprogramming In Cancer, Lei You, Yupei Zhao

Faculty, Staff and Student Publications

Amino acid metabolism plays a pivotal role in tumor microenvironment, influencing various aspects of cancer progression. The metabolic reprogramming of amino acids in tumor cells is intricately linked to protein synthesis, nucleotide synthesis, modulation of signaling pathways, regulation of tumor cell metabolism, maintenance of oxidative stress homeostasis, and epigenetic modifications. Furthermore, the dysregulation of amino acid metabolism also impacts tumor microenvironment and tumor immunity. Amino acids can act as signaling molecules that modulate immune cell function and immune tolerance within the tumor microenvironment, reshaping the anti-tumor immune response and promoting immune evasion by cancer cells. Moreover, amino acid metabolism can …

Chromium And Cobalt In Leather: A Danish Market Survey, Mikkel Bak Jensen, Farzad Seyed-Alinaghi, Ivan Chen, Jonas F. Hedberg, Yolanda S. Hedberg, Claus Zachariae, Jeanne Duus Johansen

Chemistry Publications

Introduction

Leather has been a significant source of chromium (Cr) allergy in Denmark since the 1990s. More recently, cobalt (Co) allergy has been identified in leather as a source of allergic contact dermatitis.

Objectives

To measure Cr and Co levels in Danish leather goods.

Methods

A total of 87 leather samples were collected, all tanned in Europe. Handheld X-ray fluorescence (XRF) device was used to screen for the presence of Cr and Co. The 20 leather samples with the highest concentrations of Co and Co were tested using International Organization for Standardization (ISO)-standards.

Results

XRF analysis showed Cr in 78/87 …

Real-World Effectiveness And Tolerability Of Interferon-Free Direct-Acting Antiviral For 15,849 Patients With Chronic Hepatitis C: A Multinational Cohort Study, Takanori Suzuki, Yu Jun Wong, Hidenori Toyoda, Dae Won Jun, Liu Li, Haruki Uojima, Akito Nozaki, Makoto Chuma, Cheng-Hao Tseng, Yao-Chun Hsu, Masatoshi Ishigami, Takashi Honda, Masanori Atsukawa, Hiroaki Haga, Masaru Enomoto, Huy Trinh, Carmen Monica Preda, Phillip Vutien, Charles Landis, Dong Hyun Lee, Tsunamasa Watanabe, Hirokazu Takahashi, Hiroshi Abe, Akira Asai, Yuichiro Eguchi, Jie Li, Xiaozhong Wang, Jia Li, Junping Liu, Jing Liang, Carla Pui-Mei Lam, Rui Huang, Qing Ye, Hongying Pan, Jiajie Zhang, Dachuan Cai, Qi Wang, Daniel Q Huang, Grace Wong, Vincent Wai-Sun Wong, Junyi Li, Son Do, Norihiro Furusyo, Makoto Nakamuta, Hideyuki Nomura, Eiji Kajiwara, Eileen L Yoon, Sang Bong Ahn, Koichi Azuma, Kazufumi Dohmen, Jihyun An, Do Seon Song, Hyun Chin Cho, Akira Kawano, Toshimasa Koyanagi, Aritsune Ooho, Takeaki Satoh, Kazuhiro Takahashi, Ming-Lun Yeh, Pei-Chien Tsai, Satoshi Yasuda, Yunyu Zhao, Yishan Liu, Tomomi Okubo, Norio Itokawa, Mi Jung Jun, Toru Ishikawa, Koichi Takaguchi, Tomonori Senoh, Mingyuan Zhang, Changqing Zhao, Raluca Ioana Alecu, Wei Xuan Tay, Pooja Devan, Joanne Kimiko Liu, Ritsuzo Kozuka, Elena Vargas-Accarino, Ai-Thien Do, Mayumi Maeda, Wan-Long Chuang, Jee-Fu Huang, Chia-Yen Dai, Ramsey Cheung, Maria Buti, Junqi Niu, Wen Xie, Hong Ren, Seng Gee Lim, Chao Wu, Man-Fung Yuen, Jia Shang, Qiang Zhu, Yoshiyuki Ueno, Yasuhito Tanaka, Jun Hayashi, Ming-Lung Yu, Mindie H Nguyen

Faculty, Staff and Student Publications

BACKGROUND AND AIMS: As practice patterns and hepatitis C virus (HCV) genotypes (GT) vary geographically, a global real-world study from both East and West covering all GTs can help inform practice policy toward the 2030 HCV elimination goal. This study aimed to assess the effectiveness and tolerability of DAA treatment in routine clinical practice in a multinational cohort for patients infected with all HCV GTs, focusing on GT3 and GT6.

METHODS: We analyzed the sustained virological response (SVR12) of 15,849 chronic hepatitis C patients from 39 Real-World Evidence from the Asia Liver Consortium for HCV clinical sites in Asia Pacific, …

Machine Learning-Driven Prediction Of Severe Thrombocytopenia Risk In Crrt Patients, Michael Li, Divakar Sharma Md

Research Scholars

No abstract provided.

Influence Of Adiposity And Sex On Sars-Cov-2 Antibody Response In Vaccinated University Students: A Cross-Sectional Esfuerso Study, Adriana L. Perales-Torres, Lucia M. Perez-Navarro, Esperanza M. Garcia-Oropeza, Alvaro Diaz-Badillo, Yoscelina Estrella Martinez-Lopez, Marisol Rosas-Diaz, Octelina Castillo-Ruiz, Laura Yanneth Ramirez-Quintanilla, Leonel Vela, Beatriz Tapia, Juan C. Lopez-Alvarenga

School of Medicine Publications

Prior studies have identified various determinants of differential immune responses to COVID-19. This study focused on the Ig-G anti-RBD marker, analyzing its potential correlations with sex, vaccine type, body fat percentage, metabolic risk, perceived stress, and previous COVID-19 exposure. In this study, data (available in S1 Data) were obtained from 108 participants from the ESFUERSO cohort, who completed questionnaires detailing their COVID-19 experiences and stress levels assessed through the SISCO scale. IgG anti-RBD concentrations were quantified using an ELISA assay developed by UNAM. Multiple regression analysis was employed to control for covariates, including sex, age, body fat percentage, body …