Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Initial Multiple Sclerosis Diagnosis In The Emergency Department, Adam Kandil, James Espinosa, Henry Schuitema

Rowan-Virtua Research Day

Multiple sclerosis is a chronic autoimmune disease consisting of inflammation, demyelination and loss of axon integrity in the central nervous system. Like many autoimmune diseases, its severity, initial presentation and symptomatology vary. MS is typically onset in young adults between twenty to forty years old, and has been found two-three times more likely in women than in men. As a chronic illness, like many others, it can present in the emergency department as an undifferentiated neurologic complaint. This is a case report of new onset multiple sclerosis in the emergency department, outlining the importance of a broad set of differential …

Spontaneous Conus Medullary Infarction In The Absence Of Cardiovascular Risk Factors, Bavica Gummadi, Jaffer Ahmed, Swarna Rajagopalan

Rowan-Virtua Research Day

Spinal cord infarction (SCI) is rare and most often occurs in individuals with predisposing cardiovascular risk factors and traumatic injuries

As there are no distinct diagnostic criteria for SCI, diagnosis is difficult in patients presenting without predisposing factors and is often mistaken for transverse myelitis.

Delay in early diagnosis contributes to the high case fatality rate of SCI.

This case highlights the importance of including SCI in the differential of a patient with acute paraparesis even in the absence of co-existing risk factors.

Early Diagnosis Of Alzheimer’S Disease In The Primary Care Setting, Raymond R. Romano

Theses and Dissertations (ETD)

The burden of Alzheimer’s disease (AD) affects not just the individual but also families, providers, and society. Early recognition and diagnosis of AD may reduce cost by reducing interaction with the health care system, earlier initiation of treatment, and prolonging time to long- term care. Primary care providers, the first contact for diagnosis of patients with AD, are not fulfilling the potential of early diagnosis for a variety of reasons. Biomarkers of AD emerge on average 15 to 20 years before clinical diagnosis, yet currently established biomarkers are not easily available in the primary care setting. A growing body of …

Giant 75mm Intracranial Aneurysm Masquerading As Primary Malignancy, Andrew W. Hwang, Satvir Dhillon Md, Remus Popa

Internal Medicine

No abstract provided.

Dosing Of Education For Patients Newly Diagnosed With Multiple Sclerosis, Laura K. Miller

Student Dissertations

The value of patient education has been widely documented in various patient populations. The main focus of this study is to evaluate the timing of patient education in correlation with the time since diagnosis. The goal of this study is to make recommendations for the optimal time in which patient education should be delivered following a diagnosis of Multiple Sclerosis (MS). This study evaluates self-advocacy using the Patient Self-Advocacy Scale (PSAS) which was completed pre and post educational programs. This data, combined with demographic data was analyzed for any relationships. Although no statistically significant findings were established, many important trends …

A Dna Computer For Glioblastoma Multiforme Diagnosis And Drug Delivery, Sumaiya F. Hashmi

CMC Senior Theses

Glioblastoma multiforme (GBM) is a debilitating malignant brain tumor with expected patient survival of less than a year and limited responsiveness to most treatments, often requiring biopsy for diagnosis and invasive surgery for treatment. We propose a DNA computer system, consisting of input, computation, and output components, for diagnosis and treatment. The input component will detect the presence of three GBM biomarkers: vascular endothelial growth factor (VEGF), caveolin-1α (CAV), and B2 receptors. The computation component will include indicator segments for each of these genes, and ensure that output is only released if all the biomarkers are present. The output component …

A Machine Learning Approach To Diagnosis Of Parkinson’S Disease, Sumaiya F. Hashmi

CMC Senior Theses

I will investigate applications of machine learning algorithms to medical data, adaptations of differences in data collection, and the use of ensemble techniques.

Focusing on the binary classification problem of Parkinson’s Disease (PD) diagnosis, I will apply machine learning algorithms to a primary dataset consisting of voice recordings from healthy and PD subjects. Specifically, I will use Artificial Neural Networks, Support Vector Machines, and an Ensemble Learning algorithm to reproduce results from [MS12] and [GM09].

Next, I will adapt a secondary regression dataset of PD recordings and combine it with the primary binary classification dataset, testing various techniques to consolidate …