Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Detecting Sars-Cov-2 In Ct Scans Using Vision Transformer And Graph Neural Network, Kamorudeen Amuda, Almustapha Wakili, Tomilade Amoo, Lukman Agbetu, Qianlong Wang, Jinjuan Feng

Electrical & Computer Engineering Faculty Publications

The COVID-19 pandemic has presented significant challenges to global healthcare, bringing out the urgent need for reliable diagnostic tools. Computed Tomography (CT) scans have proven instrumental in detecting COVID-19-induced lung abnormalities. This study introduces Convolutional Neural Network, Graph Neural Network, and Vision Transformer (ViTGNN), an advanced hybrid model designed to enhance SARS-CoV-2 detection by combining Graph Neural Networks (GNNs) for feature extraction with Vision Transformers (ViTs) for classification. Using the strength of CNN and GNN to capture complex relational structures and the ViT capacity to classify global contexts, ViTGNN achieves a comprehensive representation of CT scan data. The model was …

Adaptive Fusion Neural Networks For Sparse-Angle X-Ray 3d Reconstruction, Shaoyong Hong, Bo Yang, Yan Chen, Hao Quan, Shan Liu, Minyi Tang, Jiawei Tian

Electrical & Computer Engineering Faculty Publications

3D medical image reconstruction has significantly enhanced diagnostic accuracy, yet the reliance on densely sampled projection data remains a major limitation in clinical practice. Sparse-angle X-ray imaging, though safer and faster, poses challenges for accurate volumetric reconstruction due to limited spatial information. This study proposes a 3D reconstruction neural network based on adaptive weight fusion (AdapFusionNet) to achieve high-quality 3D medical image reconstruction from sparse-angle X-ray images. To address the issue of spatial inconsistency in multi-angle image reconstruction, an innovative adaptive fusion module was designed to score initial reconstruction results during the inference stage and perform weighted fusion, thereby improving …

High-Fidelity Soh Prediction In Lithium-Ion Batteries Using Hybrid Ml Networks, Shafiyee Islam, Gon Namkoong

Electrical & Computer Engineering Faculty Publications

Accurate and efficient prediction of lithium-ion battery state of health (SOH) is critical for ensuring reliability in electric vehicles, grid storage, and aerospace systems. Traditional SOH estimation methods often struggle with nonlinear degradation behaviors and lack sensitivity to subtle electrochemical signals, limiting their real-world deployment. To address these challenges, this study examines hybrid deep learning models that integrate differential capacity (dQ/dV) analysis to enhance predictive accuracy. Four hybrid architectures - hybrid CNN-LSTM multihead, CNN extractor for LSTM, DNN-LSTM, and DNN Bi-LSTM - were developed and evaluated using the NASA randomized battery usage dataset, offering a realistic benchmark under diverse operational …

A Customized Large Single-Piece Bifrontal Implant For Post-Craniectomy Defect Reconstruction: A Case Study, Omid Ghaderzadeh, Ehsan Amirbeyk, Seyed Roholah Ghodsi, Zahra Namazi, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Background: Large bifrontal defects pose unique reconstruction challenges due to their complex curvature and mechanical requirements. This case demonstrated how computer-aided design/manufacturing (CAD/CAM) enabled precise single-piece polymethyl methacrylate (PMMA) implant fabrication, thereby overcoming traditional limitations. Case presentation: A 25-year-old male who had undergone bifrontal decompressive craniectomy suffered a severe traumatic brain injury. The autologous bone flap had been temporarily stored in a subcutaneous fat area of the abdomen for 3 months to preserve its viability. A secondary cranioplasty was then performed using titanium miniplates and self-tapping screws for final fixation. After 2 years, the patient developed empyema and a brain …

Development Of 2d Microfluidics Surface With Low-Frequency Electric Fields For Cell Separation Applications, Madushan Wickramasinghe, Dharmakeerthi Nawarathna

Electrical & Computer Engineering Faculty Publications

Cell separation techniques are widely used in many biomedical and clinical applications for the development of screening, diagnosis and therapeutic tests. Current 3D microfluidics-based cell separation methods have limited applications in part due to low throughput and technical complexity. To address these critical needs, we have developed a 2D microfluidics surface which is the miniaturized version of a 3D microfluids cell separation device. Using low-frequency electric fields (1–10 Vpp and 1 kHz–20 MHz), we have first studied dielectrophoresis, AC electro-osmosis and capillary flow within a sessile drop, and finally utilized the results to develop the 2D cell separation surface. Our …

Enhancing Channel Data Savings And Information Transfer Efficiency In Ultrasound Imaging, Sai Konda, Hicham Chaoui

Electrical & Computer Engineering Faculty Publications

Ultrasound is a popular imaging technique mainly due to its non-invasive nature. And so, it is being used in a variety of applications. Due to plane wave imaging technique in ultrasound, frame rate of ultrasound imaging has the potential for being very high. Due to which, many channel data frames are being generated within a few seconds. As a result, tasks such as storing data frames and transferring them from front end ultrasonic system to processing computers are presenting significant challenges. Our current research work minimized these issues. We proposed and implemented: (a) Data encoding technique - We combined every …

Targeting Rna Polymerase I In Ewing Sarcoma Treatment, Alexis Bruce, Gavin Anchondo, Rebekah Carter, Sergio Guerrero Pacheco, Hema Sri Kambala, Elizabeth Cortez, Kyra Parker, Le Su

Research, Publications & Creative Work

Ewing sarcoma (ES) is a high-grade bone and soft tissue tumor in adolescents and young adults. Cytotoxic chemotherapy does not improve prognosis, especially for advanced ES patients who have a 5-year survival of 30% or less [1, 2]. Molecular targeted therapy emerges as a promising strategy to battle ES, given its unique driver mutations resulting from the fusion of the EWS and one of the ETS genes, but the feasibility of directly blocking EWS-ETS function has not yet been established [3]. To search for new therapeutic targets, we began with an analysis of the Cancer Dependency Map (DepMap) datasets that …

Switching To Tumescent Dissection In Mastectomy, Emna Bakillah, Ari Brooks, Seye Adekeye

Department of Surgery Faculty Papers

Introduction: Tumescent dissection (TUM) combines the use of crystalloid, local anesthetic, and epinephrine to create a bloodless plane to raise skin flaps. We aim to compare outcomes of TUM versus standard electrocautery dissection in mastectomies with and without reconstruction. Methods: We conducted a retrospective cohort study of patients who underwent mastectomy by a single surgeon between January 2016 and October 2020 utilizing the electronic medical record. The primary outcome was complication rate, and the secondary outcome was operative time. Chi-squared analysis and two-sample t-tests were used to examine outcomes. Results: Among 242 patients, 141 patients underwent TUM and 101 …

Long-Term Safety And Effectiveness Of The Treo Stent Graft For The Endovascular Treatment Of Infrarenal Abdominal Aortic Aneurysms, Matthew J. Eagleton, Michael C. Stoner, John Henretta, Maciej Dryjski, Jean M. Panneton, Apostolos Tassiopoulos, Manish Mehta, Benjamin Pearce, Mel J. Sharafuddin, Treo Investigators

Department Surgery Faculty Publications

Objective

Report on the long-term safety and effectiveness of the TREO stent graft in endovascular repair of AAA from a US investigational device clinical study.

Methods

Data from a multicenter, nonrandomized, prospective, US investigational device exemption pivotal study (NCT02009644) were used. From November 2013 to February 2016, 150 patients were enrolled at 29 US centers. Safety endpoints were defined as major adverse events (i.e., all-cause mortality, myocardial infarction, stroke, renal failure requiring renal replacement therapy, respiratory failure, paraplegia, bowel ischemia, and procedural blood loss of 1,000cc or greater). Effectiveness endpoints were defined as no aneurysm rupture, absence of sac increase …

Comparing Patency Of Pulmonary Stent Implantation And Balloon Angioplasty In Pulmonary Vein Stenosis: A Systematic Review And Meta-Analysis, Izza Batool, Muhammad K. Khan, Muhammad Zohaib, Ibrahim A. Khan, Syed A. A. Bukhari, Shreeja Shah, Khaled Harmouch, Hussam Al Hennawi, Bruce D. Klugherz

Abington Jefferson Health Papers

Pulmonary vein stenosis (PVS) is an insidious diagnosis associated with morbidity and mortality. Pharmacologic therapy may suffice initially, but advanced stages demand mechanical intervention. Pulmonary stent implantation (PSI) and pulmonary balloon angioplasty (PBA) are common strategies, both carrying restenosis risks. This meta‐analysis compares PSI and PBA to determine the superior revascularization strategy. We systematically searched databases until November 2023, identifying 11 studies with 780 patients. Studies, including those involving patients undergoing balloon angioplasty (BA) or stent angioplasty (SA) for PVS, were selected. Case reports, editorials, and cross‐sectional studies were omitted. Primary outcomes included restenosis requiring reintervention, 5‐year freedom from restenosis, …

Revascularization Strategies For Multivessel Disease In Acute Coronary Syndrome: Network Meta-Analysis, Khaled M. Harmouch, Mohammad Hamza, Nomesh Kumar, Zarghoona Wajid, Neel Patel, Masooma Naseem, Jawad Basit, Prakash Upreti, Manoj Kumar, Waqas Ullah, Yasar Sattar, Timir K. Paul, Emmanouil Brilakis, M. Chadi Alraies

Abington Jefferson Health Papers

BACKGROUND: The optimal revascularization strategy for patients with acute coronary syndrome (ACS) and multivessel disease (MVD) remains debated. This study compares the efficacy and safety of different revascularization strategies in these patients.

METHODS: We included 20 studies comparing staged, complete, and culprit-only (CO) revascularization strategies in patients with ACS and MVD. We divided the revascularization strategies into 3 distinct strategies: CO, complete index procedure (CIP), and complete staged procedure (CSP). We then compared CIP and CSP with CO. Outcomes studied are all-cause mortality, cardiac death, recurrent myocardial infarction (MI), need for revascularization, bleeding, contrast-induced nephropathy (CIN), stroke, bleeding, and stent …

Delivery Of Medical Supplies To Remote Locations Via Unmanned Aerial Vehicles: Approaches, Challenges, And Solutions, Meshari Aljohani, Ravi Mukkamala, Stephanie Olariu

Computer Science Faculty Publications

Unmanned Aerial Vehicles (UAVs) are becoming more important in improving healthcare logistics, in particular due to their cost effectiveness, minimized risk, and versatile operational capabilities. This study explores the deployment of autonomous UAVs to deliver medical supplies to remote areas. Advances in ledger technology, smart contracts, and machine learning have transformed tasks previously managed by human teams or manually controlled UAVs into fully autonomous missions. We present a comprehensive analysis of the challenges and initial solutions vital for the effective use of autonomous UAVs in the delivery of medical supplies. In addition, we propose a machine-learning model to optimize UAV …

Multi-Modal Mri Based Segmentation Of Brain Metastases Using Adaptive Self-Attention, Evan Savaria

Computer Science Faculty Publications

Brain metastases (BMs) are the most common adult central nervous system malignancy, affecting 20–40% of cancer patients. Accurate segmentation of metastatic lesions in multi-modal MRI is essential for treatment planning and prognosis however, manual delineation is time consuming and prone to variability. Traditional deep learning models such as U-Net, have improved segmentation accuracy but capture limited long-range dependencies and struggle with variations in metastasis size, shape, and distribution. This study introduces the Adaptive Integrated Multi-modal Segmentation (AIMS) model, an adaptive self-attention framework within a hybrid U-Net and Transformer architecture to enhance BM segmentation by leveraging multi-modal MRI integration. The proposed …

Optiselect And Enshap: Integrating Machine Learning And Game Theory For Ischemic Stroke Prediction, Pritam Chakraborty, Anjan Bandyopadhyay, Sricheta Parul, Sujata Swain, Partha Sarathy Banerjee, Tapas Si, Hong Qin, Saurav Mallik

Computer Science Faculty Publications

Stroke analysis using game theory and machine learning techniques. The study investigates the use of the Shapley value in predictive ischemic brain stroke analysis. Initially, preference algorithms identify the most important features in various machine learning models, including logistic regression, K-nearest neighbor, decision tree, support vector machine (linear kernel), support vector machine ( RBF kernel), neural networks, etc. For each sample, the top 3, 4, and 5 features are evaluated and selected to evaluate their performance. The Shapley value method was used to rank the models using their best four features based on their predictive capabilities. As a result, better-performing …

Optimal Bag Valve Mask Ventilation Efficacy Of Smart Bag Ventilation Compared To Traditional Adult And Paediatric Bag Valve Ventilation During Cardiopulmonary Resuscitation, Ian Dawson

Theses: Doctorates and Masters

Background: Out-of-Hospital Cardiac Arrest (OHCA) is one of the world’s leading causes of mortality. Survival rates are low, ranging from 3.1–20.4% internationally. The most effective oxygenation method for patients during pre-hospital cardiac arrest is ventilating using a self- inflating Bag-Valve-Mask (BVM). Yet, extensive research has identified a lack of compliance with ventilator guidelines during OHCA cardiopulmonary resuscitation (CPR). As a result, clinicians often ventilate patients too aggressively using the BVM, delivering breaths excessively higher than the International Liaison Committee on Resuscitation (ILCOR) recommended rate of 10 breaths per minute (BPM). Hyperventilation can lead to complications such as aspiration, barotrauma, and …

Evaluation Of The Dnazyme Gr5 For The Determination Of Lead Speciation In Natural Waters, Gaganprit Gill

Theses and Dissertations (Comprehensive)

This thesis explores the development and application of a DNAzyme-based biosensor designed to detect labile metal species in environmental samples. Real time and on-site monitoring of labile metal fractions would make a valuable contribution to environmental management, as these fractions are the most bioavailable and pose significant toxicity risks to aquatic organisms. Conventional methods for detecting labile metals, while effective, are often burdened by high costs, complexity, and lengthy processing times, making them less ideal for rapid and widespread environmental assessments.

The first manuscript of this thesis (chapter 2) establishes the fundamental capabilities of the Pb²⁺-specific DNAzyme GR5 …

The Association Of Hyperhomocysteinemia (Hhcy) With Cancer Risk: An Updated Systematic Review And Meta-Analysis Of Case-Control Studies (2013-2024), Hajar Heidari

Electronic Theses & Dissertations (2024 - present)

Abstract:

Cancer continues to be one of the leading causes of morbidity and mortality globally, influenced by a complex interplay of genetic, environmental, and nutritional factors. Among these, the metabolism of homocysteine (HCY), a sulfur-containing amino acid derived from dietary methionine, has attracted growing attention due to its involvement in one-carbon metabolism and its potential link to cancer. Elevated HCY levels, a condition known as hyperhomocysteinemia (HHCY), have been shown to disrupt crucial cellular processes such as DNA methylation and promote oxidative stress (OS)—both of which contribute to genomic instability and cancer progression. Disruptions in the folate and methionine cycles, …

Ribosome Hibernation In Mycobacterium Abscessus And Its Effect On Antibiotic Resistance, Ryan Treen

Electronic Theses & Dissertations (2024 - present)

Non-tuberculosis mycobacteria (NTM) represent a diverse repertoire of species, most of which are ubiquitous in the environment. Some NTM species, such as Mycobacterium abscessus, can cause life-threatening infections in people with underlying medical conditions. The clinical incidence of such infections is on the rise, posing an emerging threat to public health. M. abscessus is characterized by intrinsic and acquired antibiotic resistance, complicating treatment strategies. Most chemotherapeutic approaches for M. abscessus infection target the bacterial ribosome, necessitating a better understanding of the physiological processes which confer this resistance. Multiple mycobacterial species respond to zinc-limiting conditions by inducing remodeling and hibernation …

Using Visual Prompts To Analyze Ejection Fraction In Echocardiograms, Kevin Reisch

Graduate Theses, Dissertations, and Problem Reports (ETD)

Left ventricular ejection fraction (LVEF) is a critical biomarker for heart failure, but manual estimation from echocardiograms is time-consuming. Artificial intelligence can be used to accelerate this process, allowing clinicians to focus on other critical tasks. Current methods typically train models from scratch on echocardiogram datasets; however, this approach is limited by the scarcity of large medical imaging datasets, which are expensive and difficult to acquire. We present a transfer learning approach that leverages pretrained models from massive datasets, enabling continuous improvement as foundation models advance. Our method employs visual prompting to generate trainable masks for echocardiogram videos, transforming the …

Effects Of High-Frequency Repetitive Transcranial Magnetic Stimulation On Impulse Control Disorders In Patients With Parkinson’S Disease On Dopamine Replacement Therapy, Katherine Muksuris

Graduate Theses, Dissertations, and Problem Reports (ETD)

Parkinson’s Disease (PD) is a debilitating neurodegenerative disorder that causes motor deficits, cognitive impairment, and depression. The mainstay treatment for motor symptoms is dopamine replacement therapy (DRT). DRT takes the form of levodopa or dopamine receptor agonists (DAs) and can be associated with impulse control disorders (ICDs). Currently, the approach to mitigating these side effects is to decrease or stop DRT, which may cause motor symptoms to return, making the management of the disorder more difficult. Repetitive transcranial magnetic stimulation (rTMS) is a noninvasive neuromodulation treatment for multiple disorders, including its approved use for smoking cessation. It has also shown …

Cobotic Ultrasound Systems In Obstetric Assessment: A Scoping Review, Caterina Watson, Leisa Armstrong, David Cook, T. M.Shahriar Sazzad, Nayana Parange

Research outputs 2022 to 2026

Surgical subspecialties have successfully combined robotic technology with traditional practices. In doing so, they have benefited from increased precision in techniques, reduced incidence of surgical complications, and reduced MSK disorders. This scoping review aims to examine the extent of cobotics in obstetric ultrasound. The review was conducted using the JBI PRISMA protocol to map the topic of robotics in obstetric ultrasound. Teleoperated remote ultrasound formed the largest combined clinical cohort of 67 patients. Limitations of the 20-week scan concerned incomplete visualization of fetal structures. These included cavum septi pellucidi, cardiac outflow tracts, kidneys, lips and spine. Third trimester scans omitted …

Rapid Diagnosis Of Bacterial Vaginosis Using Machine-Learning-Assisted Surface-Enhanced Raman Spectroscopy Of Human Vaginal Fluids, Xin Ru Wen, Jia Wei Tang, Jie Chen, Hui Min Chen, Muhammad Usman, Quan Yuan, Yu Rong Tang, Yu Dong Zhang, Hui Jin Chen, Liang Wang

Research outputs 2022 to 2026

Bacterial vaginosis (BV) is an abnormal gynecological condition caused by the overgrowth of specific bacteria in the vagina. This study aims to develop a novel method for BV detection by integrating surface-enhanced Raman scattering (SERS) with machine learning (ML) algorithms. Vaginal fluid samples were classified as BV positive or BV negative using the BVBlue Test and clinical microscopy, followed by SERS spectral acquisition to construct the data set. Preliminary SERS spectral analysis revealed notable disparities in characteristic peak features. Multiple ML models were constructed and optimized, with the convolutional neural network (CNN) model achieving the highest prediction accuracy at 99%. …

Application Of Additive Manufacturing In The Development Of Polymeric Bioresorbable Cardiovascular Stents: A Review, Farhana Yasmin, Ana Vafadar, Majid Tolouei-Rad

Research outputs 2022 to 2026

Polymeric vascular bioresorbable stents (BRSs) have been widely used for the treatment of coronary artery diseases. While additive manufacturing (AM) is changing the landscape of the healthcare sector by enabling the realization of patient-specific stents with highly complex structures. There are, however, challenges associated with the use of polymeric BRS, particularly in-stent restenosis (ISR), related to its poor mechanical properties. Therefore, the aim of this review is to provide an overview of recent advancements in the development of polymeric BRSs designed to meet both mechanical and biological requirements. First, biopolymers as well as shape memory polymers (SMPs) that are suitable …

Can Quantitative Sensory Testing Predict Treatment Outcomes In Hip And Knee Osteoarthritis? A Systematic Review And Meta-Analysis Of Individual Participant Data, Myles C. Murphy, Andrea Mosler, Ebonie K. Rio, Molly Coventry, Isaac Selva Raj, Paola T. Chivers, Lars Arendt-Nielsen, Fabio Marcon Alfieri, Martin F. Bjurström, Dennis Boye Larsen, Wei Ju Chang, Anne Estrup Olesen, Emma Hertel, Paetur Mikal Holm, Thomas Graven-Nielsen, Cid André Fidelis De Paula Gomes, Marius Henriksen, N. Jennifer Klinedinst, Jerin Mathew, Asbjørn Mohr Drewes, Guilherme S. Nunes, Helen O'Leary, Håvard Østerås, Ozgul Ozturk, Miklos Pozsgai, Érika Patrcia Rampazo

Research outputs 2022 to 2026

An individual participant data (IPD) meta-analysis can assess the predictive value of data on outcomes at the individual level, offering a potential tool for developing personalized pain management. Pretreatment quantitative sensory testing (QST) may stratify patient groups, which are then linked to treatment outcomes. Our objective was to determine if measures of QST at baseline are related to treatment outcomes (at any time point) for pain and disability in lower-limb osteoarthritis. We performed a systematic review with an IPD meta-analysis. Searches were conducted in 9 databases until May 5, 2023 for intervention studies that measured baseline QST and longitudinal measures …

Feasibility Of Conducting A Randomized Controlled Trial To Explore The Muscular Influence Of Post-Operative Intravenous Iron Treatment For Anaemia After Major Abdominal Surgery, Beth Maclean, Robert U. Newton, Jayne Lim, Toby Richards

Research outputs 2022 to 2026

Background and Objectives: Iron deficiency anaemia is common in patients recovering from major surgery and is associated with poorer post-operative outcomes. We designed a randomized controlled trial treating post-operative anaemia with iron therapy to observe the influence on post-operative recovery. Materials and Methods: Anaemic patients (haemoglobin [Hb] < 120 g/L for women, Hb < 130 g/L for men) recovering from major abdominal surgery at Fiona Stanley Hospital were recruited. Patients were double-blind randomized 1:1 to ferric carboxymaltose (FCM) or saline administered 4 weeks post-discharge and included in a 12-week exercise programme. Iron indices, quality of life (QoL) questionnaires and muscle function tests were conducted at 4 weeks (baseline), 8-, 12- and 16-weeks post-discharge. This pilot study primarily aimed to assess the feasibility of recruiting 20 patients per intervention arm. Trial registration: ACTRN12622001447741. Results: Of 205 eligible patients screened between 5 May 2023 and 31 August 2023, only four patients were recruited, of which one completed the study. After randomization to FCM, results obtained from the sole participant that completed the trial suggested a trend towards improvement in QoL outcomes, Hb and muscle function. Conclusion: Recruitment to a randomized controlled trial exploring the influence of iron therapy on muscle function after major abdominal surgery was not feasible.

Diagnostic Accuracy Of Electrocardiogram Algorithms For Differentiating Left From Right Outflow Tract Ventricular Arrhythmia: A Systematic Review And Network Meta-Analysis, Zhuoqiao He, Ming Liu, Pengxiang Ying, Manshu Song, Xuerui Tan

Research outputs 2022 to 2026

Background: Accurate pre-Ablation differentiation between left (LVOT) and right (RVOT) ventricular outflow tract arrhythmias (OTVAs) using ECG algorithms is essential for decision on vascular access and treatment strategy. However, the most reliable ECG algorithm remains unclear. We conducted a systematic review and network meta-Analysis (NMA) to compare the diagnostic accuracy of available algorithms. Methods: We searched MEDLINE, EMBASE and Cochrane databases through 7 May 2025 for studies evaluating ECG algorithms against ablation-confirmed OTVA origin. A Bayesian diagnostic test accuracy NMA was performed to estimate pooled sensitivity, specificity, diagnostic odds ratios (DORs) and a superiority index (S) for each algorithm. Study …

Cyanine-Based Dual-Emission Sensor For Ratiometric Nad(P)H Imaging In Cells, Renal Tissues, And Entire Organisms, Peter Agyemang

Dissertations, Master's Theses and Master's Reports

Monitoring the dynamic fluctuations of NADH and NADPH, key coenzymes in Intracellular redox homeostasis and bioenergetics, are essential for understanding both normal physiology and disease pathology. However, precise, real-time imaging of NAD(P)H levels in complex biological systems remains a major challenge due to interference from endogenous fluorescence and the limitations of intensity-based sensors. We present a newly engineered dual-emission fluorescent sensor, sensor A, which overcomes these obstacles by offering ratiometric detection with high specificity and sensitivity. The sensor features a 3-quinolinium moiety conjugated to a cyanine dye scaffold via an amine linker, enabling selective reactivity toward NAD(P)H. Upon reduction, …

Validation Status Of Digital Blood Pressure Monitors In Peru: A Comprehensive Assessment With A Validation-Process Algorithm Proposal, Fabian A. Chavez-Ecos, Sandra S. Chavez-Malpartida, Alexander M. Parra-Huaroto, Rodrigo Chavez-Ecos, Kiara Camacho-Caballero, Marcelo Chavez-Ecos, Miguel A. Chavez-Gutarra, Henry Anchante-Hernandez, Carlos J. Toro-Huamanchumo

Research outputs 2022 to 2026

Background In Latin America and the Caribbean (LAC), hypertension is the leading cause of death and disability. Accurate diagnosis requires validated blood pressure measurement devices (BPMD). This study aimed to assess the characteristics and validation status of blood pressure measuring devices available for online purchase within Peru. Methods Between September and November 2023, we performed an electronic search of major retailers and online pharmacies. Devices were classified as validated if they were listed in databases recommended by the 2023 European Society of Hypertension (ESH) Guidelines for the Management of Arterial Hypertension or deemed equivalent by the manufacturer. Validation status was …

The Detection Of Multiple Human Papillomavirus (Hpv) Types Through The Development Of An Isothermal Dna Amplification Assay, Lauren Powell

Doctoral

Human Papillomaviruses (HPV) belong to the Papillomaviridae family, with over 200 known types classified into high-risk (HR-HPV) and low-risk (LR-HPV) groups based on their carcinogenic potential. While most HPV infections are asymptomatic and transient, persistent infection can lead to health issues, including cervical cancer. Given the high prevalence of HPV and its potential for malignant transformation, nucleic acid amplification assays have become a widely implemented tool for routine HPV testing. This study developed a real-time isothermal DNA amplification assay for the detection and differentiation of multiple HPV types. A universal primer set was designed to target a highly conserved region …