Other Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Employing A Machine Learning Approach In Precision Oncology To Predict Pik3ca Functional Status And Identify Phenocopying Variants Of Deleterious Pik3ca Mutations, Javier Castillo

CMC Senior Theses

The following proposal describes a modular machine learning approach that detects malfunctioning genes and pathways in cancer using the transcriptome of cancer patients. The transcriptome is underused in precision oncology and, combined with machine learning, can aid in the identification of hidden responders. Applied to the PI3K/AKT/mTOR pathway, this method can be used to predict PIK3CA functional status and identify phenocopying variants of deleterious PIK3CA mutations. The classifier will do this by integrating RNA-seq, copy number, and mutation data from tumors to determine the functional status of PIK3CA using a set of learned gene-specific weights. The classifier will then be …

Clinical Practice Guideline For The Management Of Depression In Primary Care, Estrella Catherine Villarreal

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Background: The prevalence of depression poses a significant challenge in primary care, emphasizing the urgent need to address this issue during patient visits. Primary care providers are at the forefront of managing depression, yet they encounter difficulties in screening, diagnosing, assessing, and treating this complex condition. Clinical guidelines serve as valuable tools for primary care providers and practices, offering support in identifying and addressing depression effectively. An evidence-based approach to treating depression in primary care, with a focus on collaborative interventions with behavioral health to enhance depression management for American Indian/Alaskan Native (AI/AN) communities.

Methods: The descriptive analysis was conducted …

Near-Infrared Paired-Agent Imaging For In Vivo Quantification Of Receptor Occupancy In Tumor, Yichen Feng

Dartmouth College Ph.D Dissertations

Accurate assessment of drug receptor occupancy (RO) holds significant importance in both drug development and personalized medicine, as it facilitates quantitative characterization of dose-response relationship for a given drug. This information not only aids appropriate dose selection for clinical trials but also guides personalized dose optimization in precision medicine.

Molecular imaging, utilizing receptor-specific imaging agents for tissue visualization, has emerged as the major option for in vivo measurement of tissue RO. Nonetheless, the abnormal yet complex structure and hemodynamics of tumors often lead to substantial non-specific uptake and retention of imaging agents, thus introducing significant bias to RO measurements. To …

The Validity And Reliability Of Ultrasound As A Tool For Assessing Skeletal Muscle Characteristics In The Pediatric Population, Elizabeth Seewer

Theses and Dissertations (ETD)

Annually, around 5 million people in the U.S. are admitted to Intensive Care Units (ICU) due to critical conditions, with pediatric patients comprising 21% of these admissions. Approximately 40% of pediatric ICU (PICU) patients require mechanical ventilation and extended stays, and about 6% result in death. Survivors often face long-term disabilities, including loss of skeletal muscle mass (SMM), a risk factor for morbidity and mortality. Abdominal computed tomography (CT) scans, often performed during PICU admissions, can assess muscle mass but pose risks of increased cost and radiation exposure. While CT and Magnetic Resonance Imaging (MRI) are gold standards for muscle …

Utilizing Ai Integrated Neuroimaging Technology To Expand Upon Machine Learning In Positron Emission Tomography Technology With The Aim Of Detecting Amyloid Beta Biomarkers Early In The Onset Of Alzheimer's., Ethan S. Terman

UROP Posters

Early intervention in Alzheimer's is vital for treatment. The earlier a professional can detect symptoms and make a diagnosis the earlier a prognosis can be implemented. With the prevalence of data in our day-to-day world combined with Artificial intelligence (AI), utilizing both for machine learning can pave the way for more accurate and efficient detection of Alzheimer's and other neurodegenerative diseases. AI combined with Machine learning (ML) increases diagnostic efficiency and reduces human errors, making it a valuable resource for physicians and clinicians alike. With the increasing amount of data processing and image interpretation required, the ability to use AI …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Revolutionizing Attention Training In Autism Spectrum Disorder: Pioneering Virtual Reality And Artificial Intelligence, Bhavya Sri Sanku, Selena He, Joy Li

Master of Science in Computer Science Theses

In the realm of educational technology, attention training plays a critical role in tailoring learning experiences to individual needs, especially for learners with autism spectrum disorder (ASD). This study presents an advanced framework that provides insights into the efficacy of reinforcement strategies by predicting their impact on attention enhancement in educational virtual reality (VR) settings, utilizing physiological biomarkers such as eye-tracking (ET), heart rate (HR), and electrodermal activity (EDA). A comprehensive comparative analysis was undertaken to evaluate the performance metrics of various machine learning (ML) and deep learning (DL) algorithms. The results showcased the robustness of gradient boosting (GB) and …

Art Of Aging – A Portraiture Study, Alaina Mann

Theses/Capstones/Creative Projects

The process of aging can be viewed through different lenses within our society. In the past, scientists and medical professionals performed various studies to better understand and analyze different facets of aging, medicine, and health in general. Historically the arts have reflected multiple aspects of medicine and treatments while more recently, the arts have been used in a research capacity to provide different ways to represent illness, suffering, and care. This study used art-based research methods and portraiture to gather qualitative observations on the older populations within our community. Data collected included drawings, a field journal, and interviews. This study …

Applications Of Causal Inference Methods For The Estimation Of Effects Of Bone Marrow Transplant And Prescription Drugs On Survival Of Aplastic Anemia Patients, Yesha M. Patel

Computational and Data Sciences (PhD) Dissertations

This dissertation provides an in-depth exploration into the treatment effectiveness for aplastic anemia using causal inference methods, structured around three pivotal research papers. Each paper contributes to a nuanced understanding of treatment impacts, specifically focusing on bone marrow transplantation (BMT) and prescription drugs, and the identification of optimal treatment strategies.

The first paper, "Causal Inference Analysis for Assessing the Effect of Bone Marrow Transplantation on the One-Year Survival of Adult and Pediatric Aplastic Anemia Patients," sets the foundation. It examines the short-term effectiveness of BMT in both adult and pediatric patients, providing crucial insights into how this treatment affects survival …

An Investigation Of Match For Lossless Video Compression, Brittany Sullivan-Reicks

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

A new lossless video compression technique, Match, is investigated. Match uses the similarity between the frames of a video or the slices of medical images to find a prediction for the current pixel. A portion of the previous frame is searched to find a matching context, which is the pixels surrounding the current pixel, within some distance centered on the current location. The best distance to use for each dataset is found experimentally. The matching context refers to the neighborhood of w, nw, n, and ne, where the pixel in the previous frame with the closest matching context becomes the …

Using Digital Assessment Technology To Detect Neuropsychological Problems In Primary Care Settings, David J Libon, Emily Frances Matusz, Stephanie Cosentino, Catherine C Price, Rod Swenson, Meagan Vermeulen, Terrie Beth Ginsberg, Adaora Obiageli Okoli-Umeweni, Leonard Powell, Robert Nagele, Sean Tobyne, Joyce Rios Gomes-Osman, Alvaro Pascual-Leone

Rowan-Virtua School of Osteopathic Medicine Departmental Research

INTRODUCTION: Screening for neurocognitive impairment and psychological distress in ambulatory primary and specialty care medical settings is an increasing necessity. The Core Cognitive Evaluation™ (CCE) is administered/scored using an iPad, requires approximately 8 min, assesses 3- word free recall and clock drawing to command and copy, asks questions about lifestyle and health, and queries for psychological distress. This information is linked with patients' self- reported concerns about memory and their cardiovascular risks.

METHODS: A total of 199 ambulatory patients were screened with the CCE as part of their routine medical care. The CCE provides several summary indices, and scores on …

Covid‑19‑Related Risk, Resilience, And Mental Health Among Mexican American Mothers Across The First Year Of The Pandemic, Amy L. Non, Elizabeth S. Clausing, Sandraluz Lara‑Cinisomo, Kimberly L. D’Anna Hernandez

Center for Brain, Biology, and Behavior: Faculty Publications

Background Latina mothers have been especially affected by the pandemic and historically exhibit high rates of depression and anxiety. However, few longitudinal studies have assessed the effect of the pandemic on this vulnerable population. We hypothesized that COVID-19-related stressors would associate with psychological distress among Latina mothers across the first year of the pandemic.

Methods We investigated COVID-19-related impact, stigma, and fears across two critical time points and changes in these measures in relation to changes in maternal anxiety and depression among mothers of Mexican descent living in Southern California (n=152). Surveys were administered within 5–16 weeks of …

Benefits Of Immunoglobulin (Ig) Replacement Therapy For Primary And Secondary Immunodeficiency In Chronic Rhinosinusitis, Emily A. Garvey, Keisha Arielle Best, Bita Naimi, Alexander Duffy, Paavali Hannikainen, Chase Kahn, Douglas Farquhar, Marc Rosen, Mindy Rabinowitz, Shirley Fung, Elina Toskala, Gurston Nyquist

Department of Otolaryngology - Head and Neck Surgery Faculty Papers

This is the first study to examine chronic rhinosinusitis (CRS) outcomes after starting immunoglobulin (Ig) replacement therapy for patients with primary (PID) and secondary immunodeficiency (SID). This is a retrospective review of patients diagnosed with CRS from 2018 to 2022 prior to initiating Ig therapy for the treatment of PID or SID. Outcomes included medication use and Sinonasal Outcome Test (SNOT-22) scores. Ten patients met the inclusion criteria. PID and SID patients had a decrease in antibiotics (PID: 9.40 to 3.20, P = .05, SID: 8.20 to 2.00, P = .04) and steroids (PID: (5.40 to 0.60; P = .06; …

Reduced Grey Matter Volume In Adolescents With Conduct Disorder: A Region‑Of‑Interest Analysis Using Multivariate Generalized Linear Modeling, Ru Zhang, Robert James R. Blair, Karina S. Blair, Matthew Dobbertin, Jaimie Elowsky, Johannah Bashford‑Largo, Ahria J. Dominguez, Melissa Hatch, Sahil Bajaj

Center for Brain, Biology, and Behavior: Faculty Publications

Background

Conduct disorder (CD) involves a group of behavioral and emotional problems that usually begins during childhood or adolescence. Structural brain alterations have been observed in CD, including the amygdala, insula, ventrolateral and medial prefrontal cortex, anterior cingulate cortex, and fusiform gyrus. The current study developed a multivariate generalized linear model (GLM) to differentiate adolescents with CD from typically developing (TD) adolescents in terms of grey matter volume (GMV).

Methods

The whole‐brain structural MRI data were collected from 96 adolescents with CD (mean age = 16.188 ± 1.259 years; mean IQ = 104.292 ± 8.107 ; 63 males) and 90 …

A Portable And Reliable Tool For On-Site Physical Reaction Time (Rt) Measurement, Brent Harper, Michael Shiraishi, Rahul Soangra

Physical Therapy Faculty Articles and Research

The drop-stick test system (DTS) invention has the capability to measure reaction accurately for sideline mild traumatic brain injury (mTBI) assessment. The reaction time (RT) measurements showed moderate to good inter-instrument reliability with an overall ICC of 0.82 (95 % CI 0.78–0.85). RT is a useful biomarker of mTBI or concussion, but existing technologies in controlled laboratory environments are not feasible for assessments in the field. With wearable technologies and wireless connection with smartphones, it is now easier to conduct RT assessments on the field. The purpose was to develop a portable DTS involving wearable inertial sensors translatable from the …

Specialized Late Cingulo-Opercular Network Activation Elucidates The Mechanisms Underlying Decisions About Ambiguity, Jordan E. Pierce, Nathan M. Petro, Elizabeth Clancy, Caterina Gratton, Steven E. Petersen, Maital Neta

Center for Brain, Biology, and Behavior: Faculty Publications

Cortical task control networks, including the cingulo-opercular (CO) network play a key role in decision-making across a variety of functional domains. In particular, the CO network functions in a performance reporting capacity that supports successful task performance, especially in response to errors and ambiguity. In two studies testing the contribution of the CO network to ambiguity processing, we presented a valence bias task in which masked clearly and ambiguously valenced emotional expressions were slowly revealed over several seconds. This slow reveal task design provides a window into the decision-making mechanisms as they unfold over the course of a trial. In …

Thermal Dose Inactivation Of Escherichia Coli By Magnetic Induced Hyperthermia, Silverio A. Lopez, Carlos Trevino De Leo, Ivan Davila, Karen S. Martirosyan

Research Symposium

Background: Apoptosis of mutated cells via magnetic hyperthermia has gained advocacy as technology capable of being used in lieu of chemotherapy for targeting cancer tumors. Progress of nanotechnology offers effective remote heating of magnetic fluid via hyperthermia. The heating and specific power absorption of these nanoparticles use in the magnetic fluid are dependent on particle properties and treatment locations.

Methods: Nanoparticles were fabricated using microfluidic system by interaction of two solutions containing 2Fe(NO3)3+FeSO4 and NaOH+2%Dextran to create nanostructured media with a biocompatible dextran coating and a Fe3O4 core. The nanoparticles, of a concentration of 5mg/ml, were placed in a vile …

Racial Differences In The Effect Of Apoe-Ε4 Genotypes On Trail Making Test Part B In Alzheimer’S Disease, Kaysie N. Ozuna, Annu Katithara, Chun Xu

Research Symposium

The trail making test part B (TMT-B) is used to evaluate executive functions in order to better understand the progression of Alzheimer’s disease (AD). The objective of this study is to better understand the association of apolipoprotein E epsilon 4 (APOE-ε4) genotypes on the TMT-B scores in those with Alzheimer’s disease, specifically in the Hispanic population. This study used data from the Alzheimer's Disease Neuroimaging Initiative (ADNI). In total there were 482 participants with AD, 503 with cognitive normal (CN), 1,293 with MCI at baseline and a follow-up after four years. In this study the longitudinal effect of …

Using Cartesian Coordinate Systems To Create, Classify, And Retrieve Biomedical Time-Series: Applications To 24-Hour Ambulatory Blood Pressure Monitoring, Antonio Garcia, Gladys E. Maestre, John Blangero, Jesus D. Melgarejo, Julio Facelli

Research Symposium

Background: Ambulatory Blood Pressure Measurement (ABPM) allows physicians to monitor blood pressure variability under everyday living conditions and predicts clinical outcomes better than conventional blood-pressure measurement. ABPM can demonstrate mean arterial pressure (MAP) behavior over 24 hours relevant to clinical practice, such as nocturnal hypertension or increased blood pressure variability. We hypothesized that individuals with the same cardiovascular health status would have the same MAP signal (MAPs) waveform.

Methods: This study reutilizes a data subset from the IDACO Consortium to create 24-hour MAPs. We assigned all the MAPs to data matrix X, performed principal components analysis (PCA) to X, and …

The Noloco Strategy For Essential Hypertension, F. Matthew Mihelic Md

Faculty Publications

Ninety-nine percent of all “essential” hypertension can be controlled by using the NoLoCo strategy, without causing any significant side-effects and without an increase in insulin resistance. NoLoCo stands for Norvasc (amlodipine), Lozol (indapamide), and Cozaar (losartan), but the medicines are considered and used in reverse order.