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

Cardiovascular Disease Prediction Modelling: A Machine Learning Approach, Usmaan Al-Shehab, Maduka Gunasinghe, Yousuf Elkhoga, Nimay Patel, Juliana Yang

Rowan-Virtua Research Day

The objective of this project is to utilize the UCI Heart Disease dataset to identify physiological biomarkers that are highly correlated with heart disease incidence. A predictive model can then be developed using these biomarkers to estimate the likelihood of someone having or developing a heart-related condition. This study compares the efficacy of predicting cardiovascular disease as an outcome using three machine learning algorithms: Support Vector Machine, Gaussian Naive Bayes, and logistic regression. Support Vector Machine works by creating hyperplanes between data points to conduct classification. Gaussian Naive Bayes works by using the conditional probabilities of events to classify the …

Investigations In The Cellular And Molecular Biology Of Human Airway Mucociliary Tissue, Vincent Manna

Graduate School of Biomedical Sciences Theses and Dissertations

Our laboratory has integrated the use of a human-derived, in vitro model of airway mucociliary tissue. We isolate human nasal epithelial cells (HNECs) from the nasal mucociliary tissue of donors with a small brush and expand the airway progenitor cells in culture. The HNECs are then seeded onto semi-permeable transwell inserts. The inserts are in contact with the media in the lower chamber but don’t contain media in the upper chamber therefore the cells are exposed to the air while drawing nutrients from the media below, this is called the Air-Liquid Interface (ALI). HNECs cultured at the ALI initiate a …

Ring Based Wearable Bioelectrical Impedance Analyzer For Body Fat Estimation, Muhammad Usman, Adarsh Gupta, Wei Xue

Rowan-Virtua Research Day

Introduction

• Obesity is the most serious public health problem because it is linked to cardiovascular diseases.
• Measuring fat mass is necessary to study the obesity epidemic.
• Fat mass can be estimated by measuring impedance of the human body.

Conclusions

• A novel bioelectrical impedance analyzer for body fat estimation.
• Device validated for 40 healthy human subjects against commercial analyzer.
• Great potential to replace commercial analyzers for wearable real-time body fat monitoring.