Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Development, Validation, And Diagnostic Performance Of A Novel Radiomic Model For Predicting Prostate Cancer Recurrence, Linda M. Huynh

Theses & Dissertations

Multi-parametric magnetic resonance imaging (MP-MRI)-derived radiomics have been shown to capture sub-visual patterns for the quantitative characterization of prostate cancer (PC) phenotypes. The present dissertation seeks to develop, evaluate, and compare the performance of an MRI-derived radiomic model for the prediction of PC recurrence following definitive treatment with radical prostatectomy (RP).

MP-MRI was obtained from 339 patients who had a minimum of 2 years follow-up following RP at three institutions. The prostate was manually delineated as the region of interest and 924 radiomic features were extracted. All features were evaluated for stability via intraclass correlation coefficient (ICC) and image normalization …

Development And Implementation Of An Evidence Based Practice Guideline Related To The Management Of Adult Angioedema, Megan Przybysz

Doctor of Nursing Practice Scholarly Projects

Angioedema (AE) is a potentially life-threatening medical condition that occurs with a higher frequency than medical providers may expect, with the emergency department (ED) serving as the usual first point of medical contact for patients. Any hesitation in recognizing AE or inconsideration of the disease process in differential diagnoses may lead to a dangerous delay of care. Due to the potential rapid progression of airway obstruction in AE, inexperienced providers should not attempt intubation, instead deferring to providers experienced in alternative airway techniques (i.e., anesthesia providers). The primary goal of this project is to develop an evidencebased practice guideline for …

Lack Of Alternatives To Colonoscopy Limits Care Of Patients Unable To Complete Bowel Preparation, Tala Al-Saghir

Clinical Research in Practice: The Journal of Team Hippocrates

A clinical decision report using:

Benech N, Vinet O, Gaudin JL, et al.: The ONECC Study Group. Colon capsule endoscopy in clinical practice: lessons from a national 5-year observational prospective cohort. Endosc Int Open. 2021;9(10):E1542-E1548. https://doi.org/10.1055/a-1526-09231

for a patient with incomplete bowel preparation and colonoscopy.

Evaluation Of Nursing Approach To Assessment Of Post-Operative Respiratory Depression Using A Simulation Model, Natalia Tarasova, Usha Asirvatham, Robin D. Goetz, Mariela Riveria, Juraj Sprung, Toby N. Weingarten

Journal of Perioperative Nursing

Introduction: Assessments of post-operative patients that have been carried out by health care providers before critical opioid-induced respiratory events often do not detect respiratory depression. We hypothesise that opioidinduced respiratory patterns present during sleep may not be properly recognised as providers typically awaken patients for vital sign checks, and awake state assessment is recorded. We used a simulation manikin model to test this hypothesis.

Methods: Nurses who work on a standard post-operative hospital ward volunteered to participate in a study designed to record vital signs on an adult male manikin. None of the nurses had formal critical care or postoperative …

Ctl+Heal: A Scoping Review On Therapeutic Alliance And Technology, Vineet Sadarangani

Annual Research Symposium

A strong therapeutic alliance between a healthcare provider and patient is built upon a strong bond, trust, and open communication, all essential for successful healthcare outcomes. Establishing a robust therapeutic alliance relies significantly on non-verbal behaviors, including tone, facial expression, and eye contact. Traditionally, expert feedback was essential for addressing undesirable non-verbal behaviors and cultivating desirable ones; however, technological advancements have introduced the concept of technology-assisted feedback. This would eliminate the immediate need for experts, thus allowing the clinician more time to focus on their clinical skills; however, these methods are scattered across various fields of medical education, technology and …

Convolutional Neural Network Based Machine Learning For Ameloglyphics: A Forensic Analysis, Sanjana Shetty, Sowmya Sv, Dominic Augustine, Saiprasad Alva, Mukul Saini

Annual Research Symposium

Convolutional Neural Network based Machine Learning for Ameloglyphics: A Forensic Analysis

Sanjana Shetty, Sowmya SV , Dominic Augustine, Saiprasad Alva, Mukul Saini Author Affiliations: Department of Oral & Maxillofacial Pathology and Oral Microbiology, Faculty of Dental Sciences, MS Ramaiah University of Applied Sciences, MSR Nagar, Bengaluru-560054, Karnataka, India.

Purpose:

Tooth prints, considered to be the hard tissue analogues of finger prints have been studied extensively over the years by manual and in some cases, digital methods. While Artificial intelligence and Machine Learning have witnessed a steady rise in their applications in various fields with promising results, its utility in ameloglyphics …

Evaluation Of Novel Therapeutic Agents For The Treatment Of Chronic Dry Eyes, Lilian Huynh, Evonie Villarete, Surajit Dey

Annual Research Symposium

Dry eye disease (DED) is a multifactorial ocular condition, where disrupted tear film stability and ocular surface inflammation affected between 5% to 34% of the worldwide population in 2015 and posed a challenge to conventional ophthalmic treatments. Recent advances have led to potential novel therapeutics aiming to alleviate symptoms and improve patient outcomes.

Correlation Enhanced Distribution Adaptation For Prediction Of Fall Risk, Ziqi Guo, Teresa Wu, Thurmon Lockhart, Rahul Soangra, Hyunsoo Yoon

Physical Therapy Faculty Articles and Research

With technological advancements in diagnostic imaging, smart sensing, and wearables, a multitude of heterogeneous sources or modalities are available to proactively monitor the health of the elderly. Due to the increasing risks of falls among older adults, an early diagnosis tool is crucial to prevent future falls. However, during the early stage of diagnosis, there is often limited or no labeled data (expert-confirmed diagnostic information) available in the target domain (new cohort) to determine the proper treatment for older adults. Instead, there are multiple related but non-identical domain data with labels from the existing cohort or different institutions. Integrating different …

Recent Studies In The Surgical Treatment Of Tetralogy Of Fallot, Emma C. Gardner

Mako: NSU Undergraduate Student Journal

No abstract provided.

Utilizing Primary Human Airway Mucociliary Tissue Cultures To Model Ramifications Of Chronic E-Cigarette Usage., Vincent J Manna, Shannon Dwyer, Vanessa Pizutelli, Salvatore J Caradonna

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

Electronic cigarettes are battery powered devices that use a vape-liquid to produce a vapor that is inhaled. A consequence of the rise in e-cigarette usage was the 2019 emergence of a vaping-induced respiratory disease denoted as 'e-cigarette or vaping use-associated lung injury' (EVALI). One of the suspected causes of EVALI is Vitamin E Acetate (VEA), which was found to be a diluent in certain illicit vape-pens, whereas nicotine is commonly diluted in equal parts propylene glycol and vegetable glycerin (PG:VG). The prevalent use of e-cigarettes and the emergence of a novel illness has made understanding how e-cigarette vapors affect our …

Promises And Risks Of Applying Ai Medical Imaging To Early Detection Of Cancers, And Regulation For Ai Medical Imaging, Yiyao Zhang

The Journal of Purdue Undergraduate Research

No abstract provided.

Thermoregulation In Colorectal Patients: Heating Co2 Insufflation Gas, Alejandro Conde, Alieu Jawara, Laura Savage, James Alberding Dnp, Michael Godbold

Graduate Publications and Other Selected Works - Doctor of Nursing Practice (DNP)

BACKGROUND: 600,000 colorectal surgeries are performed annually in the United States, with 26-90% experiencing some form of unintended hypothermia. Consequences of hypothermia include surgical site infections (SSIs), delayed wound healing, cardiac dysrhythmias, and increased hospital length of stay. Utilization of the laparoscopic approach to intra-abdominal colorectal surgery uses un-warmed CO₂ gas. Multiple studies demonstrate the addition of heated CO₂, for insufflation, reduces intraoperative hypothermia.

LOCAL PROBLEM: This project was implemented at a facility in Tennessee. On average, 250 laparoscopic colorectal cases are performed at this facility annually. Participants were adult colorectal surgical patients, 18 years …

De Novo Drug Design Using Transformer-Based Machine Translation And Reinforcement Learning Of An Adaptive Monte Carlo Tree Search, Dony Ang, Cyril Rakovski, Hagop S. Atamian

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The discovery of novel therapeutic compounds through de novo drug design represents a critical challenge in the field of pharmaceutical research. Traditional drug discovery approaches are often resource intensive and time consuming, leading researchers to explore innovative methods that harness the power of deep learning and reinforcement learning techniques. Here, we introduce a novel drug design approach called drugAI that leverages the Encoder–Decoder Transformer architecture in tandem with Reinforcement Learning via a Monte Carlo Tree Search (RL-MCTS) to expedite the process of drug discovery while ensuring the production of valid small molecules with drug-like characteristics and strong binding affinities towards …

The Impact Of Simulated Image Acquisition Time Reduction On Image Quality And Parameters Of Myocardial Perfusion Imaging Using A Dedicated Cardiac Camera, Alireza Khatami

Electronic Thesis and Dissertation Repository

Heart disease is the second leading cause of death in Canada, highlighting the crucial role of early diagnosis in disease management. Myocardial perfusion imaging (MPI), is widely employed for this purpose, involves injecting a radiopharmaceutical into the body, imaging its distribution with a gamma camera, and revealing cardiac blood flow patterns. A significant challenge in MPI is the lengthy 8 to 10 minutes required for stress and rest imaging, potentially causing patient discomfort and compromising image quality due to movement. In a clinical study with 26 patients, post-processed data manipulation simulated a reduction in MPI imaging time. The findings indicated …

Enhancing The Safety Of Medication Administration: The Synergistic Role Of Closed Loop Electronic Medication Management And Iv Medication Administration, Kelly Goetz, Angela Schoenung, Lauren Daugherty, Kaitlyn Hornsby

Posters-at-the-Capitol

The high acuity of patients in the ICU results in numerous medications being administered, increasing the risk of medication errors. The purpose of this project is to investigate the impact of integrating consistent closed loop electronic medication management (CLEMM) to decrease medication errors in the ICU for bedside nurses who use electronic health records (EHRs). The project type is a comprehensive literature review, with studies that included a single prospective cohort study, case report, single non-randomized trial, quasi experimental study, single cross-sectional studies, and systematic reviews. The importance of this project is to address the break in the loop of …

Classification Of Colorectal Cancer Using Resnet And Efficientnet Models, Abhishek Ranjan, Priyanshu Srivastva, B Prabadevi, R Sivakumar, Rahul Soangra, Shamala K. Subramaniam

Physical Therapy Faculty Articles and Research

Introduction:

Cancer is one of the most prevalent diseases from children to elderly adults. This will be deadly if not detected at an earlier stage of the cancerous cell formation, thereby increasing the mortality rate. One such cancer is colorectal cancer, caused due to abnormal growth in the rectum or colon. Early screening of colorectal cancer helps to identify these abnormal growth and can exterminate them before they turn into cancerous cells.

Aim:

Therefore, this study aims to develop a robust and efficient classification system for colorectal cancer through Convolutional Neural Networks (CNNs) on histological images.

Methods:

Despite challenges in …

Comparing Cognitive Tests And Smartphone-Based Assessment In 2 Us Community-Based Cohorts., Ileana De Anda-Duran, Preeti Sunderaraman, Edward Searls, Shirine Moukaled, Xuanyi Jin, Zachary Popp, Cody Karjadi, Phillip H Hwang, Huitong Ding, Sherral Devine, Ludy C Shih, Spencer Low, Honghuang Lin, Vijaya B Kolachalama, Lydia Bazzano, David J Libon, Rhoda Au

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

BACKGROUND: Smartphone-based cognitive assessments have emerged as promising tools, bridging gaps in accessibility and reducing bias in Alzheimer disease and related dementia research. However, their congruence with traditional neuropsychological tests and usefulness in diverse cohorts remain underexplored.

METHODS AND RESULTS: A total of 406 FHS (Framingham Heart Study) and 59 BHS (Bogalusa Heart Study) participants with traditional neuropsychological tests and digital assessments using the Defense Automated Neurocognitive Assessment (DANA) smartphone protocol were included. Regression models investigated associations between DANA task digital measures and a neuropsychological global cognitive

CONCLUSIONS: Our findings demonstrate that smartphone-based cognitive assessments exhibit concurrent validity with a …

Quantification Of Antiviral Drug Tenofovir (Tfv) By Surface-Enhanced Raman Spectroscopy (Sers) Using Cumulative Distribution Functions (Cdfs), Marguerite R. Butler, Jana Hrncirova, Meredith Clark, Sucharita Dutta, John B. Cooper

Chemistry & Biochemistry Faculty Publications

Surface-enhanced Raman spectroscopy (SERS) is an ultrasensitive spectroscopic technique that generates signal-enhanced fingerprint vibrational spectra of small molecules. However, without rigorous control of SERS substrate active sites, geometry, surface area, or surface functionality, SERS is notoriously irreproducible, complicating the consistent quantitative analysis of small molecules. While evaporatively prepared samples yield significant SERS enhancement resulting in lower detection limits, the distribution of these enhancements along the SERS surface is inherently stochastic. Acquiring spatially resolved SERS spectra of these dried surfaces, we have shown that this enhancement is governed by a power law as a function of analyte concentration. Consequently, by definition, …

Is Sway-Referenced Haptic Assistance Sensitive To Perceptual Context, Andrew Meszaros, Robin Dorociack, Peter Jang, Tanner Lehr, Bayli Mohl

Student-Faculty Research - College of Physical Therapy

Falls account for >$50 billion of medical spending in 2015 (CDC). Real-time haptic feedback shows promise at reducing static standing COM sway (Meszaros, 2019). Pilot data variability suggests that some haptic-wearers ‘over-correct’ (unnecessarily reducing available degrees of freedom), when haptic correction is perceived as ‘a mistake. Does over-correction reduce multi-segment control and impair sway stability (Hsu, Scholz, et al. 2007)?

Imu And Markerless Technology In Gait Analysis: Clinical Lessons, Jessa Barendse, Trevor Nannini, Joanna Zuckerman, Tess Swake, Robin Dorociak, Peter Jang, Andrew Meszaros

Student-Faculty Research - College of Physical Therapy

- Haptic feedback refers to the external vibratory cue that is activated by data picked up by the haptic device, Inertial Measurement Unit (IMU) (Figure 1), which senses joint position.

- Position-driven haptic touch input can modify movement in real-time (Meszaros, 2019)

- Original goal: to reduce knee hyperextension during gait using a popliteal fossa tactor driven by an IMU-based angle sensor (Sagemotion)

-Concerns arose on the validity of IMU/tactor and markerless motion analysis ❏ Are these algorithm-based data technologies clinic-ready?

- Does Sagemotion IMU fire the tactor at the actual knee angle selected in its software?

- Can markerless …