Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

The Development Of A Brain Penetrating Erythropoietin For The Treatment Of Alzheimer’S Disease, Joshua Yang

KGI Theses and Dissertations

The development of a neurotherapeutic for the treatment of Alzheimer’s Disease (AD) is challenging due to limited endpoint efficacy. Erythropoietin (EPO), a hematopoietic neurotrophin, is a potential therapeutic for AD but has limited blood-brain barrier (BBB) permeability. A chimeric fusion protein of EPO bound to the transferrin receptor monoclonal antibody (cTfRMAb) can act as a molecular trojan horse for brain drug delivery, shuttling EPO into the brain via the transvascular route. However, cTfRMAbs have Fc-effector function adverse effects, and removal of the Fc N-linked glycosylation site by substituting Asn with Gly (cTfRMAb-N292G-EPO) reduces this Fc effector function. Hence, developing this …

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 …