2024 ARCHES Projects

Generative-AI-Based Simulation of Electroencephalogram (EEG) to Formulate Personalized Migraine Therapy

Inki Kim, University of Illinois Urbana-Champaign

Christopher Gondi, University of Illinois College of Medicine- Peoria

Introduction:

Migraine headache is the most common neurological disorder and one of the most common pain conditions. Despite its high prevalence, the basic physiology and underlying factors contributing to the development of migraine headache is still poorly understood. Safe and effective management of migraines requires a personalized approach to treatment, which is fundamentally hampered by the lack of individual migraineurs’ data because the current clinical diagnosis does not routinely incorporate specific diagnostic tests/measurements. This creates the vicious cycle where an absence of patient data causes unindividualized suboptimal treatment, which in turn generates more migraine patients. Societal burden incurred due to the mismanagement or suboptimal treatment is substantial.

4D Interpolation of Cardiac MRI Imaging Sequences

Brad Sutton, University of Illinois Urbana-Champaign

Matthew Bramlet, OSF HealthCare

This project aims to develop a method for creating personalized 4D beating heart models from standard cardiac magnetic resonance imaging (CMR) data, leveraging automated segmentation and interpolation techniques. By addressing the challenge of conveying dynamic obstructions in congenital cardiac conditions, this innovative approach could revolutionize cardiac analytics, providing insights into cardiac function from a 4D perspective and potentially unlocking automated analytical tools that current 2D imaging formats cannot achieve.

Tailored Diabetic Wound Care Educational Tool

Mae Vogel, University of Illinois Urbana-Champaign

Ann Willemsen-Dunlap, OSF HealthCAre

This project aims to develop a personalized educational tool for diabetes patients focusing on wound care in outpatient and home settings. Through stakeholder interviews, participatory design, prototype development, and usability studies, the project seeks to address patient needs, improve self-care practices, and enhance clinical outcomes, aligning with Jump ARCHES goals to innovate patient care beyond specialized centers.

Mixed Reality Simulator for Neonatal Needle Thoracentesis

Avinash Gupta, University of Illinois Urbana-Champaign

Nicole Rau, OSF HealthCare

This project aims to address the challenge of maintaining skills in neonatal procedures for community providers by developing a Mixed Reality (MR) platform using the Microsoft HoloLens 2. The platform will offer simulation training for various procedures, starting with needle thoracentesis, and will incorporate real-time instrument tracking and guidance to enhance accuracy and applicability in clinical settings.

Empowering the Diagnosis of Rare Diseases in Primary Care Settings

Jimeng Sun, University of Illinois Urbana-Champaign

Adam Cross, OSF HealthCare

This project seeks to create a system that utilizes machine learning and knowledge graphs to detect patterns in electronic medical records (EMRs) and identify undiagnosed rare diseases early. By leveraging innovative technologies, it aims to improve diagnostic accuracy and patient outcomes, aligning with the Jump ARCHES program's goal of addressing health system operational challenges.

Development of an active wheelchair seat cushion to address pressure ulcers

Holly Golecki, University of Illinois Urbana-Champaign

Britny Coyle, OSF HealthCare

JJ Guedet, OSF HealthCare

This project aims to address the issue of pressure ulcers in wheelchair users, particularly those with conditions like ALS, by developing a soft robotic cushion that allows users to autonomously alleviate pressure. By integrating human-centered design strategies and interdisciplinary expertise, the project seeks to improve compliance with pressure relief recommendations, reduce pressure ulcer occurrence, and enhance the quality of life for wheelchair users.

Angiograms to Simulated Flow in Cerebral Vasculature

Brad Sutton, University of Illinois Urbana-Champaign

Matthew Bramlet, OSF HealthCare

This proposal aims to develop automated algorithms to create 3D vascular models from neuroimaging scans and simulate flow to identify regions of physiological disruption in cerebral vasculature, particularly in aneurysm patients. By integrating expertise from clinical neuroscience, neuroimaging, computational fluid mechanics, and 3D modeling, the project aims to improve surgical planning, enhance patient care, and potentially enable longitudinal monitoring and outcome prediction for patients with intracerebral aneurysms.

Low-cost haptic enhancement for surgery via stochastic resonance

Caroline Cao, University of Illinois Urbana-Champaign

Richard Anderson, OSF HealthCare

This project aims to develop a wearable device that enhances surgeons' haptic sensitivity during remote surgery, addressing the challenges of reduced sensory feedback in minimally invasive surgery. By leveraging stochastic resonance (SR) through subthreshold vibrotactile stimulation, the device aims to improve haptic perception and surgical performance, potentially leading to better outcomes and expanded access to specialized surgical care, particularly in remote areas.

P430 Optimizing the Utilization of Rural Health Clinics

Yanfeng Ouyang, PHD, University of Illinois Urbana-Champaign

Ann Willemsen-Dunlap, OSF HealthCare

This proposal outlines a transportation service concept to maximize the utilization of rural clinics by addressing challenges such as transportation logistics, knowledge about services, trust, accessibility, and convenience. By categorizing the population and incorporating their clinic visit behaviors into the estimation of healthcare demand, the project aims to develop deployment plans, mobility services, service quality estimations, and implementation guidelines, with a pilot implementation in Cuba, IL, to validate its effectiveness and feasibility for future scalability.

P435 Sudden Cardiac Arrest AI ECG Recognition

Jim Rehg, University of Illinois Urbana-Champaign

Sunita Ferns, OSF HealthCare

This project aims to develop an artificial intelligence (AI) approach to improve risk stratification for sudden cardiac arrest (SCA) in young individuals by leveraging surface electrocardiograms (ECGs). Addressing challenges such as the lack of appropriate datasets and difficulty in targeting rare conditions, the project will utilize diverse datasets and recent advances in self-supervised representation learning to enhance ECG analysis, potentially saving lives globally, particularly in regions with limited access to expert cardiologists. If successful, this initiative could significantly advance diagnostic methods and contribute to improving healthcare outcomes, aligning with the forward-thinking approach of OSF HealthCare.

P438 Detection of E. coli bypassing blood culture

Rashid Bashir, University of Illinois Champaign-Urbana

John J. Farrell, OSF HealthCare

This project aims to develop a nucleic acid amplification-free assay for rapid detection of low concentrations of E. coli in whole blood samples, potentially eliminating the need for blood culture. By combining CRISPR-cascade signal amplification with biphasic reaction, the goal is to achieve detection within <2 hours, which could significantly accelerate clinical decisions for the early detection of bacteremia and sepsis, especially in remote or under-resourced regions.

P441 Multi-Modality Super-Resolution Brain Imaging for Neonates

Yun-Sheng Chen, University of Illinois Urbana-Champaign

Daniel J. Robertson, OSF HealthCare

This proposal responds to the special focus area of addressing “maternal and child health.” Engineers from UIUCECE, in collaboration with doctors from OSF neonatology, will collaboratively develop an innovative transcranial super-resolution Doppler imaging for neonatal encephalopathy.

This proposal aims to develop an innovative transcranial super-resolution Doppler imaging technique for neonatal encephalopathy, addressing the critical need for improved brain imaging in diagnosing and managing HIE. By leveraging multi-modal imaging technology, including photoacoustic and super-resolution ultrasound, the project seeks to enhance early diagnosis and intervention for HIE, ultimately improving outcomes for affected infants.

Development of Virtual Nasendoscopy from 3D Dynamic MRI

Brad Sutton, University of Illinois Urbana-Champaign

Matthew Bramlet, OSF HealthCare

This project proposes using dynamic MRI technology to create a virtual nasoendoscope for diagnosing swallowing disorders without the need for invasive procedures or ionizing radiation, particularly benefiting pediatric patients. By generating a 4D imaging dataset and developing a software tool to segment and visualize the anatomical structures in virtual reality, this approach aims to enhance diagnostic confidence and improve patient outcomes, potentially replacing traditional imaging techniques like videofluoroscopy and nasoendoscopy.

Real-time biomarker assessment platform for building trust in healthcare & research

Jacinda K. Dariotis, University of Illinois Urbana-Champaign

Sameer Ansar, OSF HealthCare

This proposal outlines the development of a palm-sized device for rapid biomarker testing, aiming to provide real-time results during patient visits, thereby increasing trust in research participation and healthcare engagement. By focusing on enzyme-free assays and real-time oxytocin testing, the project aims to improve healthcare experiences, promote interest in science and healthcare, and enhance intervention approaches through tailored, real-time feedback, with broad applicability across clinical and community settings.

Implementation of Health Access Points Within OSF's Rural Health Ecosystem

Ujjal Kumar Mukherjee, University of Illinois, Urbana-Champaign

Ann Willemsen-Dunlap, OSF HealthCare

The proposal aims to address challenges in accessing healthcare in underserved rural communities by establishing small-scale health access points, or kiosks, staffed with Community Health Workers (CHWs) and integrated with digital connectivity. These kiosks will offer basic health and social care services, including preventative health screenings, health literacy education, and telehealth visits, to bridge the technology gap and improve healthcare utilization among rural populations. The technical challenges involve developing affordable kiosks integrated with OSF technology, ensuring compliance with HIPPA regulations, and conducting field trials to demonstrate efficacy and functionality.