Medicine and Health Sciences Commons^™

Self-Explainable Graph Neural Network For Alzheimer Disease And Related Dementias Risk Prediction: Algorithm Development And Validation Study, Xinyue Hu, Zenan Sun, Yi Nian, Yichen Wang, Yifang Dang, Fang Li, Jingna Feng, Evan Yu, Cui Tao

Faculty, Staff and Student Publications

Background: Alzheimer disease and related dementias (ADRD) rank as the sixth leading cause of death in the United States, underlining the importance of accurate ADRD risk prediction. While recent advancements in ADRD risk prediction have primarily relied on imaging analysis, not all patients undergo medical imaging before an ADRD diagnosis. Merging machine learning with claims data can reveal additional risk factors and uncover interconnections among diverse medical codes.

Objective: The study aims to use graph neural networks (GNNs) with claim data for ADRD risk prediction. Addressing the lack of human-interpretable reasons behind these predictions, we introduce an innovative, self-explainable method …

Intratumoral Immune Triads Are Required For Immunotherapy-Mediated Elimination Of Solid Tumors, Gabriel Espinosa-Carrasco, Edison Chiu, Aurora Scrivo, Paul Zumbo, Asim Dave, Doron Betel, Sung Wook Kang, Hee-Jin Jang, Matthew D Hellmann, Bryan M Burt, Hyun-Sung Lee, Andrea Schietinger

Faculty, Staff and Students Publications

Tumor-specific CD8+ T cells are frequently dysfunctional and unable to halt tumor growth. We investigated whether tumor-specific CD4+ T cells can be enlisted to overcome CD8+ T cell dysfunction within tumors. We find that the spatial positioning and interactions of CD8+ and CD4+ T cells, but not their numbers, dictate anti-tumor responses in the context of adoptive T cell therapy as well as immune checkpoint blockade (ICB): CD4+ T cells must engage with CD8+ T cells on the same dendritic cell during the effector phase, forming a three-cell-type cluster (triad) to license CD8+ T cell cytotoxicity and cancer cell elimination. …

Multi-Scale Signaling And Tumor Evolution In High-Grade Gliomas, Jingxian Liu, Song Cao, Yize Li, Ilya Strunilin, Andrew Shinkle, Nataly Naser Al Deen, Wagma Caravan, Andrew Houston, Faria Anjum Simin, Matthew A Wyczalkowski, Liang-Bo Wang, Erik Storrs, Siqi Chen, Ritvik Illindala, Yuping D Li, Reyka G Jayasinghe, Austin N Southard-Smith, Yang E Li, Rita Jui-Hsien Lu, Feng Chen, Milan G Chheda, Li Ding, Et Al.

2020-Current year OA Pubs

Although genomic anomalies in glioblastoma (GBM) have been well studied for over a decade, its 5-year survival rate remains lower than 5%. We seek to expand the molecular landscape of high-grade glioma, composed of IDH-wildtype GBM and IDH-mutant grade 4 astrocytoma, by integrating proteomic, metabolomic, lipidomic, and post-translational modifications (PTMs) with genomic and transcriptomic measurements to uncover multi-scale regulatory interactions governing tumor development and evolution. Applying 14 proteogenomic and metabolomic platforms to 228 tumors (212 GBM and 16 grade 4 IDH-mutant astrocytoma), including 28 at recurrence, plus 18 normal brain samples and 14 brain metastases as comparators, reveals heterogeneous upstream …

Multi-Scale Signaling And Tumor Evolution In High-Grade Gliomas, Jingxian Liu, Song Cao, Kathleen J Imbach, Marina A Gritsenko, Tung-Shing M Lih, Jennifer E Kyle, Tomer M Yaron-Barir, Zev A Binder, Yize Li, Ilya Strunilin, Yi-Ting Wang, Chia-Feng Tsai, Weiping Ma, Lijun Chen, Natalie M Clark, Andrew Shinkle, Nataly Naser Al Deen, Wagma Caravan, Andrew Houston, Faria Anjum Simin, Matthew A Wyczalkowski, Liang-Bo Wang, Erik Storrs, Siqi Chen, Ritvik Illindala, Yuping D Li, Reyka G Jayasinghe, Dmitry Rykunov, Sandra L Cottingham, Rosalie K Chu, Karl K Weitz, Ronald J Moore, Tyler Sagendorf, Vladislav A Petyuk, Michael Nestor, Lisa M Bramer, Kelly G Stratton, Athena A Schepmoes, Sneha P Couvillion, Josie Eder, Young-Mo Kim, Yuqian Gao, Thomas L Fillmore, Rui Zhao, Matthew E Monroe, Austin N Southard-Smith, Yang E Li, Rita Jui-Hsien Lu, Jared L Johnson, Maciej Wiznerowicz, Galen Hostetter, Chelsea J Newton, Karen A Ketchum, Ratna R Thangudu, Jill S Barnholtz-Sloan, Pei Wang, David Fenyö, Eunkyung An, Mathangi Thiagarajan, Ana I Robles, D R Mani, Richard D Smith, Eduard Porta-Pardo, Lewis C Cantley, Antonio Iavarone, Feng Chen, Mehdi Mesri, Maclean P Nasrallah, Hui Zhang, Adam C Resnick, Milan G Chheda, Karin D Rodland, Tao Liu, Li Ding, Philadelphia Coalition For A Cure, Clinical Proteomic Tumor Analysis Consortium

Faculty, Staff and Students Publications

Although genomic anomalies in glioblastoma (GBM) have been well studied for over a decade, its 5-year survival rate remains lower than 5%. We seek to expand the molecular landscape of high-grade glioma, composed of IDH-wildtype GBM and IDH-mutant grade 4 astrocytoma, by integrating proteomic, metabolomic, lipidomic, and post-translational modifications (PTMs) with genomic and transcriptomic measurements to uncover multi-scale regulatory interactions governing tumor development and evolution. Applying 14 proteogenomic and metabolomic platforms to 228 tumors (212 GBM and 16 grade 4 IDH-mutant astrocytoma), including 28 at recurrence, plus 18 normal brain samples and 14 brain metastases as comparators, reveals heterogeneous upstream …

Epigenetic Regulation By Tet1 In Gene-Environmental Interactions Influencing Susceptibility To Congenital Malformations, Bernard K Van Der Veer, Lehua Chen, Spyridon Champeris Tsaniras, Wannes Brangers, Qiuying Chen, Mariana Schroiff, Colin Custers, Harm H M Kwak, Rita Khoueiry, Robert Cabrera, Steven S Gross, Richard H Finnell, Yunping Lei, Kian Peng Koh

Faculty, Staff and Students Publications

The etiology of neural tube defects (NTDs) involves complex gene-environmental interactions. Folic acid (FA) prevents NTDs, but the mechanisms remain poorly understood and at least 30% of human NTDs resist the beneficial effects of FA supplementation. Here, we identify the DNA demethylase TET1 as a nexus of folate-dependent one-carbon metabolism and genetic risk factors post-neural tube closure. We determine that cranial NTDs in Tet1−/− embryos occur at two to three times higher penetrance in genetically heterogeneous than in homogeneous genetic backgrounds, suggesting a strong impact of genetic modifiers on phenotypic expression. Quantitative trait locus mapping identified a strong NTD …

Community-Level Factors And Their Associations With Changing Opioid Overdose Fatality Rates In Kentucky, 2019–2021, Shawn R. Nigam, Philip M. Westgate, Svetla Slavova, Rachel Vickers-Smith, Katherine L. Thompson

Journal of Appalachian Health

Introduction: Kentucky has one of the highest opioid overdose fatality rates in the United States, which has increased significantly from 2019 to 2020. The COVID-19 pandemic has caused lasting effects on mental health and health care, which have been linked with increased opioid overdose. These effects are exacerbated in Appalachian regions, where there is a lack of sufficient access to community pharmacies and adequate health care.

Purpose: In this study, we characterize changes in opioid overdose fatality rates in Kentucky from 2019 to 2021, with a specific focus on changes in Appalachian vs non-Appalachian counties. We aim to identify associations …

Evaluation Of An Advanced Practice Provider Residency Program, Amber Juetten

DNP Projects

The primary care physician shortage can be mitigated by effective preparation and placement of qualified advanced practice providers (APPs) (Zhang et al., 2020). APP residency programs have shown to increase confidence and competency, which leads to an increase in productivity, job satisfaction, retention, and has a positive financial impact on the organization (Minichiello et al., 2020; Nutting et al., 2022; & Han et al., 2018). Potential concerns around the skills and confidence of new APPs has been the impetus for this DNP project, which aimed to provide an APP residency program that provided the support needed for an effective transition …

Increasing Stroke Symptom Awareness In The Hispanic Community, Karina Barabash

DNP Projects

Ethnic and racial minorities are at higher risk for many health conditions including coronary artery disease and stroke (Mital et al., 2021). The Hispanic population specifically faces more risk factors, less knowledge of stroke symptoms, and higher probability of death and disability post stroke (Eisenstein et al., 2018). Unless this gap is addressed, ethnic and racial minority patients will continue to experience higher rates of death and disability from stroke, compared to non-Hispanic White patients. Therefore, the purpose of this project was to provide clinic-based stroke education in Spanish to Hispanic community members. The goal was to increase awareness of …

Broadcasters, Receivers, Functional Groups Of Metabolites, And The Link To Heart Failure By Revealing Metabolomic Network Connectivity, Azam Yazdani, Raul Mendez-Giraldez, Akram Yazdani, Rui-Sheng Wang, Daniel J Schaid, Sek Won Kong, M Reza Hadi, Ahmad Samiei, Esmat Samiei, Clemens Wittenbecher, Jessica Lasky-Su, Clary B Clish, Jochen D Muehlschlegel, Francesco Marotta, Joseph Loscalzo, Samia Mora, Daniel I Chasman, Martin G Larson, Sarah H Elsea

Faculty, Staff and Students Publications

Background and objective: Blood-based small molecule metabolites offer easy accessibility and hold significant potential for insights into health processes, the impact of lifestyle, and genetic variation on disease, enabling precise risk prevention. In a prospective study with records of heart failure (HF) incidence, we present metabolite profiling data from individuals without HF at baseline.

Methods: We uncovered the interconnectivity of metabolites using data-driven and causal networks augmented with polygenic factors. Exploring the networks, we identified metabolite broadcasters, receivers, mediators, and subnetworks corresponding to functional classes of metabolites, and provided insights into the link between metabolomic architecture and regulation in health. …

Multimorbidity And Associated Informal Care Receiving Characteristics For Us Older Adults: A Latent Class Analysis, Ruotong Liu, Corey L. Nagel, Siting Chen, Jason T. Newsom, Heather G. Allore, Ana R. Quiñones

Psychology Faculty Publications and Presentations

Older adults with varying patterns of multimorbidity may require distinct types of care and rely on informal caregiving to meet their care needs. This study aims to identify groups of older adults with distinct, empirically-determined multimorbidity patterns and compare characteristics of informal care received among estimated classes. Methods Data are from the 2011 National Health and Aging Trends Study (NHATS). Ten chronic conditions were included to estimate multimorbidity patterns among 7532 individuals using latent class analysis. Multinomial logistic regression model was estimated to examine the association between sociodemographic characteristics, health status and lifestyle variables, care-receiving characteristics and latent class membership. …

Characteristics Associated With Early Vs. Late Adoption Of Lung Cancer Screening, Christine S. Shusted, Jan M. Eberth, Hee-Soon Juon, Julie Barta

Division of Pulmonary, Allergy, and Critical Care Medicine Faculty Papers

Background: Although lung cancer screening (LCS) reduces lung cancer mortality among high-risk individuals, uptake overall remains low. With all cancer screening modalities, a period of diffusion among medical providers and the public is expected, with screening uptake exhibiting a distribution among early vs. late adoption. We aimed to characterize individuals undergoing LCS based upon the timeframe of screening adoption. Methods: This retrospective study examined patients who underwent LCS between January 2015 – December 2022 in a centralized LCS program. Based on United States Preventive Services Task Force (USPSTF) criteria for LCS, early and late adopters of LCS – defined by …

Unveiling Novel Genetic Variants In 370 Challenging Medically Relevant Genes Using The Long Read Sequencing Data Of 41 Samples From 19 Global Populations, Yanfeng Ji, Junfan Zhao, Jiao Gong, Fritz J Sedlazeck, Shaohua Fan

Faculty, Staff and Students Publications

Background: A large number of challenging medically relevant genes (CMRGs) are situated in complex or highly repetitive regions of the human genome, hindering comprehensive characterization of genetic variants using next-generation sequencing technologies. In this study, we employed long-read sequencing technology, extensively utilized in studying complex genomic regions, to characterize genetic alterations, including short variants (single nucleotide variants and short insertions and deletions) and copy number variations, in 370 CMRGs across 41 individuals from 19 global populations.

Results: Our analysis revealed high levels of genetic variants in CMRGs, with 68.73% exhibiting copy number variations and 65.20% containing short variants that may …

Editorial: Interaction And Dynamics Of Biological Molecules, Mohana Priya Arumugam, Umashankar Vetrivel, Jeyakanthan Jeyaraman, Subhash Chauhan, Jayakanthan Mannu

School of Medicine Publications

No abstract provided.

Mint Registry: Rationale And Study Design, Kaustubh Limay, Sami Al Kasab, Jaydevsinh N. Dolia, Mohamad Ezzeldin, Daniel Vela Duarte, Vinodh Doss, Sourabh Lahoti, David Hasan, Alejandro Spiotta, Ameer E. Hassan

School of Medicine Publications

Background

Mechanical thrombectomy has become the standard of care for treatment of acute ischemic stroke secondary to large‐vessel occlusion up to 24 hours from last known normal time. Multiple different techniques for mechanical thrombectomy have been described, including a direct aspiration first‐pass technique and stent retriever thrombectomy. With a direct aspiration first‐pass technique, classically, a large‐bore aspiration catheter is delivered over a microcatheter and microwire to the clot. Recently, a novel macrowire has been introduced as a potential alternative to the use of microwire–microcatheter to allow the delivery of the aspiration catheter. The aim of this study is to develop …

Inactivation Of Bacterial And Viral Indicators In The Secondary Effluent Of Al-Khober Wastewater Treatment Plant With Ozone, Uv-Radiation And Electrochemical Process: A Comparative Study, Muhammad Saleem Dr.

Journal of Engineering Research

Increased use of available water resources necessitates the reuse of treated wastewater at least for irrigation purposes. Generally, pathogenic microorganisms are present in treated wastewater; these pathogens are responsible for spread of many infectious diseases. Disinfection stands out as the pivotal stage in the treatment of effluents during wastewater reuse, crucial for averting the transmission of infectious diseases However, disinfection of wastewater with chlorine may form toxic by-products, a number of which are mutagenic and/or carcinogenic. The aim of present study was to examine the possibility of using three processes, namely; ozonation, UV-radiation, and electrochemical process for disinfection of secondary …

Performance And Enhancement Evaluation Of A Solar Still By Using Spraying Technology, Mahmoud Mohamed Dewedar, Yasser A. F. El-Samadony, Alsayed Alsaeed Mohamed, Ahmed Ibrahim Abdo

Journal of Engineering Research

The current experimental investigation uses the water spraying approach to increase the productivity and efficiency of pyramid solar still. The design, construction, and testing of a traditional and modified small-scale pyramid solar still were conducted under identical meteorological conditions as in Tanta City, Egypt (30° 47' N, 31°E). One of the modifications is that heated sheet metal will occasionally be sprayed with salted water. We looked into how the modified solar still's (MPSS) performance characteristics were affected by solar radiation, water depth, and sheet metal-specified temperature. Measurements were made of the saline water temperature, glass temperature, spraying flow rate, and …

Securing Body Area Networks With Fingerprint Cryptography And Authentication In Manet, Alaa M. Elbanaa, Roayat Ismail Abdelfatah, Mohamed E. Nasr

Journal of Engineering Research

Standard MANETs face issues like incorrect transmission and vulnerability to unauthorized node access, posing significant security concerns, especially regarding authentication procedures. To address these challenges, researchers are exploring innovative approaches to enhance authentication mechanisms within MANETs. In this paper, we present a novel solution integrating a Body Area Network (BAN) scheme to capture biomedical data from sensors such as ECG and EEG, facilitating data transmission across MANETs. Furthermore, we employ a hybrid Elgamal algorithm for encrypting biomedical data, bolstered by fingerprint biometrics to fortify the cryptographic process, enhancing network security. Additionally, we conduct comparative analyses, exploring different key sizes and …

"Blockchain-Enhanced Electronic Health Records: A Secure And Immutable Approach To Ehr Management", Mostafa Abdelwahed Eltabakh, Mohamed E. Nasr, Emad Abd-Elrahman, Roayat Ismail Abdelfatah

Journal of Engineering Research

Traditional Electronic Health Record (EHR) systems face security risks, data misuse, and audit trail concerns. This paper proposes leveraging blockchain technology to improve EHRs, emphasizing Blockchain's potential to enhance data security, accessibility, and privacy through its encrypted and interconnected data block system, thereby addressing the core challenges of conventional EHR practices. This paper introduces a blockchain-based framework designed to consolidate and secure patient data within a singular record owned by the patient. Developed on the Ethereum network utilizing Ganache, this system employs programming languages and tools such as Solidity and web3.js. It leverages the blockchain platform for storing patient data …

A Technical Survey On The Impact Of Exhaust Gas Recirculation And Multifuel Blends On Diesel Engine Performance And Emission Characteristics, Medhat Elkelawy Prof. Dr, Eng., Hagar Alm-Eldin Bastawissi Prof. Dr. Eng., E. A. El Shenawy Prof. Dr., Mustafa Mohamed Ouda Eng.

Journal of Engineering Research

The increasing demand for fossil fuels poses significant challenges as their reserves gradually deplete over time. Biodiesel is considered one of the most effective alternative fuels to mitigate these issues. Current research focuses on comparing engine performance parameters when blending biodiesel with fossil fuels in Compression Ignition (C.I.) engines. The study demonstrates a comparison of the exhaust emissions produced by biodiesel fuel. In comparison to diesel, biodiesel generally exhibits lower heating value, higher density, increased fuel consumption, and elevated nitrogen oxide levels. To address these challenges, various additives are mixed and blended with biodiesel to meet international fuel standards. These …

Heat And Mass Transfer Characteristics During Vacuum Drying Of Wood, Mohamed Salah Elmetwaly, Lotfy Hassan Rabie Saker, Mohamed Sameh Salem

Journal of Engineering Research

The properties affecting the characteristics of heat and mass transfer during vacuum drying of wood are studied in this paper. The experimental work is carried out in 0.0365 m³ test rig vacuum dryer. The drying chamber dimensions are 0.5 m long and 0.305 m diameter carbon steel cylinder. This drying chamber is internally coated with epoxy paint, also this chamber is detachable closing caps at both ends meaning welded at one end and bolted at the other end to facilitate loading and unloading of the specimen. Two stainless steel heat exchanger plates with dimensions 0.3 m length, 0.15 m …

Prediction Of Noise From A Construction Site, Amira Mostafa Ibrahim Miss, Nashwa Mohamed Yossef Prof, Adel Ibrahim Eldosouky Emeritus Professor

Journal of Engineering Research

Construction activities significantly contribute to environmental noise pollution, affecting workers' health and the surrounding community, posing significant challenges to human well-being and productivity. This paper presents a prediction method and a modelling technique used to assess construction site noise. Various factors influencing noise generation and propagation, such as equipment types, operational conditions, site characteristics, and environmental factors, are discussed. This paper explores the application of Monte Carlo technique as an effective method for predicting construction site noise and planning noise mitigation strategies.

Numerical Investigation Of Liquefaction Mitigation In-Sandy Soils Under Earthquake Loading Using Vertical Gravel Drains., Marawan M. Shahien M. Shahein, Ahmed Nasr, Baher Mohamed Abd El Fattah

Journal of Engineering Research

Liquefaction is one of the most dramatic defects of granular soil. This phenomenon is mostly observed when loose sand is subjected to a dynamic load or earthquake. In this study, the liquefaction that affected the loose soil evaluated, and some recommendations are introduced. (2-D) Numerical analysis using Plaxis (8.2) was conducted to simulate the behavior of the loose soil under dynamic loads. The studied model was carried out on multi-layers soil supported by stone columns subjected to dynamic loads. It was found that stone columns enhanced the soil behavior and reduced the damage that occurred. Liquefaction of the loose soil …

Chemical Kinetic Investigation: Exploring The Impact Of Various Concentrations Of Hho Gas With A 40% Biodiesel/Diesel Blend On Hcci Combustion, Mai H. Aboubakr, Medhat Elkelawy Prof. Dr, Eng., Hagar Alm-Eldin Bastawissi, Ayman Refat Abd Elbar

Journal of Engineering Research

This study uses the Chemkin software program to evaluate the effect of different quantities of oxyhydrogen gas [HHO] added to 40% biodiesel and diesel mix [B40], including B40, B40+5HHO, B40+10HHO, and B40+15HHO, on the HCCI combustion process's efficiency. The information collected includes cylinder pressure, cylinder temperature, accumulated gas phase heat release, heat loss rate, UHC, and mole fractions of O2, CO, CO2, diesel [NC7H16], biodiesel [C5H10O2], and oxyhydrogen [H2O]. The finding is that, when compared to a blend of biodiesel and diesel, using oxyhydrogen in the biodiesel/diesel mix boosts the properties of the HCCI engine.

Exploring The Influence Of Various Factors, Including Initial Temperatures, Equivalence Ratios, And Different Biodiesel/Diesel Blend Ratios, On Homogeneous Charge Compression Ignition (Hcci) Combustion, Mai H. Aboubakr, Medhat Elkelawy Prof. Dr, Eng., Hagar Alm-Eldin Bastawissi, Ayman Refat Abd Elbar

Journal of Engineering Research

This paper discusses the impact of three study cases that change with different values: the first case is four initial temperature values [313, 323, 333, and 343 K], the second case is three equivalence ratios [0.2, 0.3, and 0.4], and the third case uses various concentrations of biodiesel and diesel mixes [D100, B20, B40, B60, B80, and B100]. The purpose is to use the Chemkin software program to determine the effectiveness of each case in the HCCI combustion process. The results included cylinder pressure, cylinder temperature, accumulated gas phase heat release, heat loss rate, UHC, and mole fractions of O …

Survey And Analysis Of Safety Components And Costs In Construction Projects In Egypt, Emad E. Etman Prof., Haytham Sanad Prof., Asmaa Ibrahim Khater

Journal of Engineering Research

The difficulty of determining the factors that achieve safety on Egyptian construction sites as a result of multiple and different criteria and different relative weights of the criteria represents a challenge to achieve safety and a secure environment on construction sites. This issue has been of interest for many decades and continues to be a topic of discussion today because of construction project management is rapidly modernizing. The paper aims to identify the safety standards most commonly used on construction sites, and determine their relative weights as seen by the target audience and also estimate the cost of safety measures …

Multi-Classification Model For Brain Tumor Early Prediction Based On Deep Learning Techniques, Abdelrahman T. Elgohr, Mohamed S. Elhadidy, Mahmoud Elazab Dr, Raneem Ahmed Hegazii, Moataz M. El Sherbiny

Journal of Engineering Research

Brain tumor early prediction is a critical task in medical imaging, as early detection and classification of tumors can significantly improve patient outcomes and treatment planning. In this study, we propose multi-classification models based on deep learning techniques for early prediction of brain tumors using magnetic resonance imaging (MRI) scans. Specifically, we investigate the effectiveness of Convolutional Neural Networks (CNN) in the You Only Look Once (YOLO) approach for an accurate classification of brain tumors into multiple classes based on their morphological characteristics. The proposed model is designed to extract spatial features from MRI images, capturing local patterns and structures …

Enhancing Decision In Information System Through Weighted Preliminary Pretopology Analysis, Mustafa Elsayed, Rifet Agassi

Journal of Engineering Research

It is clear from adequate study of the past decades that there has been rapid growth in the information system, which relies mainly on programming systems. This has led to the necessity of dealing with high efficiency with the information system necessary for decision support. Information systems are a mixture of software and hardware to store and process all the data required and are presented in a useful form to extract information by applying topological concepts. In this paper a pretopological space from an information system is to be constructed. The computation of decision accuracy stands as a pivotal stage …

تحسين كفاءه التوازن الحرارى لمستخدمى الفراغات السكنيه, Alamera Kamal Elden Elfeky, Elamira Elfeky, Walaa Ahmed Nour, Lobna Abdallah Agha

Journal of Engineering Research

human belonging to nature Considered innate, and known as Biophilie, it has direct and strong relation with human heath and his welfare which affected by quality of internal environment where we Live and work as we spend most of our time in this environment. Biophelic design Aim to improve heath and welfare of human. natural. and reconnect him with his natural environment beside achieving the aesthetic aspect of his place.

in our present time, gap appeared in relation between human and environment as a result of modern design solution, as it has negative effect on human heath and safety, to …

Mhealth Intervention For Elevated Blood Pressure Among College Students: Single-Arm Intervention Study, Dieu-My T. Tran, Catherine E. Dingley, Roger Bonilla

Nursing Faculty Research

Background: Current evidence reveals a growing pattern of hypertension among young adults, significantly increasing their risk for cardiovascular disease later in life. Young adults, particularly those of college age, often develop risk factors related to lifestyle choices in diet, exercise, and alcohol consumption. Developing useful interventions that can assist with screening and possible behavioral modifications that are suitable and appealing to college-aged young adults could help with early identification and intervention for hypertension. Recent studies indicate mobile health (mHealth) apps are acceptable and effective for communication and message delivery among this population.

Objective: The purpose of this study was to …

Application Of Histopathology Image Analysis Using Deep Learning Networks, Md Shamim Hossain, Leisa J. Armstrong, David M. Cook, Pauline Zaenker

Research outputs 2022 to 2026

As the rise in cancer cases, there is an increasing demand to develop accurate and rapid diagnostic tools for early intervention. Pathologists are looking to augment manual analysis with computer-based evaluation to develop more efficient cancer diagnostics reports. The processing of these reports from manual evaluation is time-consuming, where the pathologists focus on accurately segmenting individual cancer cells, a vital step in analysis. This paper describes the design and validation of an application which has been developed based on deep learning networks. The application includes a workflow of image pre-processing followed by synthetic image generation, which is crucial due to …