Health
The Fulton Schools’ efforts in health innovation range from understanding the causes behind Alzheimer’s disease and improving methods for predicting epileptic seizures to developing advanced biosensors, bioassays and lab-on-a-chip devices for clinical diagnostics. Additional areas of research exist in novel biological materials, neural engineering, biomedical informatics, drug-delivery systems, health care systems analysis and modeling, health monitoring devices and human rehabilitation technologies.
Preliminary Study on Pneumatic Haptic Feedback Integration in Prosthetics with WISH
There are many well explored non-invasive methods of sensory feedback for prosthetic users. The purpose of this study was to explore pneumatic soft haptic feedback as a potential method of feedback for upper limb prosthetic users. A pneumatic bladder was integrated with the Softhand Pro, a system called wearable integrated soft haptics (WISH), to provide…
Opentrons Interfacing Turbidostat for Continuous Evolution
Surface Display for Phage Assisted Continuous Evolution (SurPhACE) enables the development of novel nanobodies with specific and heightened binding affinity to a given target. Automation of this method in one 96 well plate would enable 64x greater evolutionary speed compared to the previous manual method. My project developed a turbidostat to provide fresh bacteria to…
Immunohistochemical Analysis of Targeted Nanoparticles in Brain Tissue After Traumatic Grain Injury
This project primarily focused on the analysis of immunohistochemical mice brain samples post-traumatic brain injury (TBI) to assess the targeting and retention of nanoparticles (NPs) conjugated with targeting and control peptides. The tissue sections analyzed were stained for cell nuclei (DAPI), blood vessels (CD31), neurons (Neun), microglia (Iba1), and astrocytes (GFAP) are used in addition…
Enhancing Sports Movement Execution Accuracy Through Timely Feedback
This project focuses on evaluating the effectiveness of biomechanical feedback in improving soccer kicking accuracy among healthy adult participants. Participants were instructed to perform a series of kicks toward predefined target zones, with half receiving real-time feedback while the other half did not. Each kick was recorded on video, and a Python made script was…
Characterizing ALS Subtypes in the Choroid Plexus and their Role in Patient Prognosis
Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disorder that primarily affects motor neurons, leading to muscle weakness, paralysis, and ultimately, respiratory failure or death. Through the application of unsupervised clustering techniques, we identified three distinct ALS subgroups based on gene expression profiles and transposable element activity in the choroid plexus. Gene set enrichment analysis…
Digital Immunoassay for Point-of-Care Heart Failure Monitoring
A point-of-care device for use in monitoring heart failure was tested using a prototype portable microscope to analyze its performance and versatility. This project builds on the previous work of Dr. Chao Chen, Ph.D., who developed the microfluidic digital immunoassay for point-of-care detection of NT-proBNP from whole blood. NT-proBNP, a commonly used biomarker for heart…
Microfluidics Device for Microencapsulation of Islet Cells
The overall goal of this project is testing the toxicity of siloxane on INS-1E transfected cells. The concentrations that it was tested at are 40%, 20%, 10% and 8% with a control of no siloxane. It was found that even at 40% siloxane was not toxic to the INS-1E transfected cells. Video Research poster View…
Longitudinal Analysis of Stress Patterns Derived from Physiological Data During the Four Menstrual Phases
This project explores how physiological stress varies across the four phases of the menstrual cycle using wearable heart rate variability (HRV) data. By analyzing LF/HF ratios over 90 days from 18 participants, the study identiJies distinct circadian stress patterns unique to each hormonal phase. The results suggest that wearables can reveal real-time, hormone-driven shifts in…
Effects of Varying Difficulty Levels of a Secondary Cognitive Task on Motor Abilities in Parkinson’s Patients
This project explores how performing a cognitive task affects a person’s ability to regain balance after a physical perturbation. Using motion capture, force plates, and a joystick-controlled game, we measured key gait metrics such as step length, and margin of stability in healthy individuals. Our goal is to establish a pipeline that can be used…
Path Dependence of Stochastic Cell Fate Determination
This project aims to better understand the path dependence of stochastic cell fate determination. This is done through the creation of a stochastic model of cell differentiation governed by a trigene network to identify the frequencies of various path types taken by simulated cells. This model attempts to elucidate the mechanisms by which evolution biases…