Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Advancing Risk Stratification In Hfpef: Unveiling The Potential Of Cardiac Fibrosis Markers For Early Diagnosis And Enhanced Patient Outcomes, Mariam Abdeen

Rowan-Virtua Research Day

Heart failure with preserved ejection fraction (HFpEF) challenges clinicians due to its diverse presentation and limitations in traditional diagnostic criteria. This study delves into the potential of cardiac fibrosis markers like galectin-3, NT-proBNP, and trimethylamine N-oxide (TMAO) to enhance diagnostic precision and patient outcomes in HFpEF. A systematic review of sixteen relevant studies revealed that these biomarkers offer promise for early detection and improved risk assessment. For instance, TMAO indicates systemic implications of HFpEF, while galectin-3 shows predictive value across heart failure types. Additionally, machine-learning models incorporating multiple biomarkers predict significant risk of adverse outcomes. Despite these advances, challenges like …

Digital Clock Drawing As An Alzheimer's Disease Susceptibility Biomarker: Associations With Genetic Risk Score And Apoe In Older Adults, L I Thompson, M Cummings, S Emrani, David J. Libon, A Ang, C Karjadi, R Au, C Liu

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

BACKGROUND: Alzheimer's disease (AD) is the leading cause of dementia in older adults, but most people are not diagnosed until significant neuronal loss has likely occurred along with a decline in cognition. Non-invasive and cost-effective digital biomarkers for AD have the potential to improve early detection.

OBJECTIVE: We examined the validity of DCTclockTM (a digitized clock drawing task) as an AD susceptibility biomarker.

DESIGN: We used two primary independent variables, Apolipoprotein E (APOE) ε4 allele carrier status and polygenic risk score (PRS). We examined APOE and PRS associations with DCTclockTM composite scores as dependent measures.

SETTING: We used existing data …

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 …

Correlation Between Gut Biomarkers And Depression, Jianle Gao

Rowan-Virtua Research Day

The correlation between the gut-microbiota- brain axis and mental state in the context of mental disorders such as Major Depressive Disorder (MDD), Schizophrenia, etc. has been well studied. Production of inflammatory and non-inflammatory metabolites by the gut- microbiota directly and indirectly affects the brain and mood. Therefore, colonization by maladaptive, pro-inflammatory bacteria may cause mood dysregulation and depressive features. Metabolites from these bacteria can be quantitatively analyzed for use as biomarkers of Major Depressive Disorder. Biomarkers studied include: serotonin, dopamine, butyrate, acetate, and propionate.

Rna Isolation In Duchenne Muscular Dystrophy (Dmd) Mice Models, Salem Abu Al-Burak

Undergraduate Student Research Internships Conference

Fibrosis is a progressive and typically irreversible disease process characterized by the excessive deposition of collagen in organs and in tissues of the musculoskeletal (MSK) system^1,2. This process, which causes loss of organ and tissue function, can be initiated by micro-traumas³, an excessive and/or prolonged immune response¹, the activation and proliferation of fibrosis-inducing progenitor cells⁴, and a pro-fibrotic extra-cellular microenvironment⁵. In parallel with the events that initiate fibrosis, genetic or environmental influences may cause cells and tissues to become predisposed to fibrosis development prior to initiation. This suggests that these …

Tri-Molybdenum Phosphide (Mo3P) And Multi-Walled Carbon Nanotube Junctions For Volatile Organic Compounds (Vocs) Detection, Baleeswaraiah Muchharla, Praveen Malali, Brenna Daniel, Alireza Kondori, Mohammad Asadi, Wei Cao, Hani E. Elsayed-Ali, Mickaël Castro, Mehran Elahi, Adetayo Adedeji, Kishor Kumar Sadasivuni, Muni Raj Mauya, Kapil Kumar, Abdennaceur Karoui, Bijandra Kumar

Electrical & Computer Engineering Faculty Publications

Detection and analysis of volatile organic compounds’ (VOCs) biomarkers lead to improvement in healthcare diagnosis and other applications such as chemical threat detection and food quality control. Here, we report on tri-molybdenum phosphide (Mo₃P) and multi- walled carbon nanotube (MWCNT) junction-based vapor quantum resistive sensors (vQRSs), which exhibit more than one order of magni- tude higher sensitivity and superior selectivity for biomarkers in comparison to pristine MWCNT junctions based vQRSs. Transmission electron microscope/scanning tunneling electron microscope with energy dispersive x-ray spectroscopy, x-ray diffraction, and x-ray photo- electron spectroscopy studies reveal the crystallinity and the presence of Mo and …