UICOMP Faculty Awarded Jump ARCHES Awards
Twenty research projects are sharing more than $1,400,000 in funding through the Jump ARCHES research and development program from the Fall 2021 grant award cycle.
The Jump ARCHES program is a partnership between OSF HealthCare and The Grainger College of Engineering at the University of Illinois Urbana-Champaign (U of I) and the University of Illinois College of Medicine in Peoria (UICOMP).
The funding supports research involving clinicians, engineers and social scientists to rapidly develop technologies and devices that could revolutionize medical training and health care delivery. A requirement of the grant applications was for solutions that could be deployed quickly, within four to six weeks. Investigators were also encouraged to consider how to best mitigate the impact of age, location, and social barriers in delivering quality health care to vulnerable populations.
Below are proposal summaries from projects that include principle investigators from UICOMP:
Point-cloud segmentation for daily adaptive prostate therapeutic planning
- Angela Di Fulvio, Assistant Professor, University of Illinois at Urbana-Champaign, The Grainger College of Engineering, Department of Nuclear, Plasma, and Radiological Engineering
- Gregory M. Hermann, MD, MPH; University of Illinois College of Medicine at Peoria, Clinical Assistant Professor, OSF HealthCare, Department of Radiation Oncology
We propose to develop and demonstrate deep-learning-based point cloud models for the registration and segmentation of planning target volumes (PTV) and organs at risk, enabling daily adaptive planning of prostate cancer (PCa) radiation therapy.
Improving the Lives of Children with Asthma by Individualizing the Asthma Care Plan Based on Children’s Home Exposure to Asthma Triggers
- Elise Albers, MBA, MPH; Manager Population Health, Women’s and Children’s Service Line, OSF HealthCare
- Sotiria Koloutsou-Vakakis; Senior Lecturer and Research Scientist, University of Illinois at Champaign-Urbana, The Grainger College of Engineering, Civil and Environmental Engineering
- Margarita Guarin, MD; Assistant Professor, University of Illinois College of Medicine at Peoria, Pediatrics, Pulmonology
The project team proposes a pilot study with indoor air monitoring devices (sensors) that can be deployed in homes and schools of a small cohort of OSF pediatric patients with asthma. The air quality data collected by these sensors will be used to individualize the asthma care plan, taking into account the environmental allergens and pollutants that are present in the patient’s home and providing education on how to mitigate these environmental exposures.
Development of a Trusted Execution Enclave to Securely Link Computational Modeling to a Medical Imaging Database
- Matthew Bramlet, M.D., Department of Pediatrics University of Illinois College of Medicine – Peoria; Advanced Imaging and Modeling Lab, Jump Simulation
- Brad Sutton, Ph.D., Department of Bioengineering University of Illinois at Urbana-Champaign Grainger College of Engineering
- Andrew Miller, Ph.D., Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign Grainger College of Engineering
The primary objective of this project is to create a Picture Archiving and Communication System (PACS) plug-in tool that will allow researchers to run various algorithms on these large imaging datasets without exposing protected health information (PHI). This proof of concept project requires solving several problems to bridge the gap between research algorithms and access to an imaging database while ensuring data security and privacy.
Smart phone App for Migraine referral Optimization using MIG-RO (Migraine Referral Optimization)
- Hrachya Nersesyan MD, PhD, OSF HealthCare, Illinois Neurological Institute; University of Illinois College of Medicine Peoria
- Lusine Demirkhanyan PhD, University of Illinois College of Medicine Peoria
- Yelena Nersesyan MD, PhD, University of Illinois College of Medicine Peoria
- Christopher Gondi PhD, University of Illinois at Urbana-Champaign; University of Illinois College of Medicine Peoria
- Inki Kim PhD, University of Illinois at Urbana-Champaign
The goal of this project is to streamline diagnosis of migraine at the patient intake level to reduce patient engagement time and improve appropriate and timely referrals to headache specialists. To address the problem of underdiagnoses we plan to develop a Migraine Referral Optimization (MIG-RO) smartphone application, which can be installed on any smartphone or tablet-like device to enable expedited diagnosis at the patient intake level, recommend first steps in management, and facilitate appropriate referrals to headache specialists.
Physiological and anatomical biomarkers for epilepsy antiepileptic drug therapy
- Hua Li, Ph.D. DABR; Research Associate Professor, Department of Bioengineering, Cancer Center at Illinois, Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign
- Michael Xu, MD, PhD, FAAN, FAES; Epileptologist, Director of comprehensive epilepsy center, OSF HealthCare Illinois Neurological Institute, Clinical Professor, Department of Neurology, University of Illinois College of Medicine at Peoria
- Fan Lam, Ph.D.; Assistant Professor, Department of Bioengineering, University of Illinois at Urbana-Champaign
- Yogatheesan Varatharajah, Ph.D.; Research Assistant Professor, Department of Bioengineering, University of Illinois at Urbana-Champaign
This study aims to develop a comprehensive and robust computational model for the prognosis of AED treatment response. Prognosis models will be developed based on advanced belief function theory (BFT) and deep learning (DL) techniques and utilizing a large cohort of retrospective patient cases. Our preliminary studies have demonstrated the promising performance of the resulting prognosis models.
Hands Down: Empowering Children and Families through CPR Education
- Paul M Jeziorczak, MD MPH, Clinical Assistant Professor of Pediatric Surgery University of Illinois College of Medicine
- Inki Kim, PhD, Research Scientist Coordinated Science Lab Health Care Engineering Systems Center, University of Illinois at Urbana-Champaign
The purpose of this grant proposal is to create an educational program in mobile app for the family of children admitted to the Children’s Hospital of Illinois surgical service, which will particularly address a significant gap for the families in desperate need of safe and effective CPR skill acquisition, by incorporating a hand-only augmented reality (AR) simulation module. The proposed smartphone-based AR will integrate novel feedback mechanisms to guide the user to a desired range of chest compression with proper hand placement.
TriWave: Inverse Wave Signal Processing for Non-Invasive, Non-Pharmaceutical Migraine Therapy
- Christopher Gondi PhD, University of Illinois at Urbana-Champaign; University of Illinois College of Medicine Peoria
- Hrachya Nersesyan MD, PhD OSF HealthCare, Illinois Neurological Insititute; University of Illinois College of Medicine Peoria
- Lusine Demirkhanyan PhD, University of Illinois College of Medicine Peoria
- Yelena Nersesyan MD, PhD, University of Illinois College of Medicine Peoria
- Inki Kim PhD, University of Illinois at Urbana-Champaign
In this proposal we address the imbalance between excitatory and inhibitory cortical-subcortical neurotransmission using the inverse wave approach to manage migraine-associated pain (see figure). Our approach cancels anomalous EEG wave patterns in migraine patients at the pre-, intra- and post phases of migraine.
A Deep-Learning Augmented Point-Of-Care Device for Antibody Quantification
- Yang Zhao, Ph.D., Assistant Professor, University of Illinois at Urbana-Champaign The Grainger College of Engineering, Department of Electrical and Computer Engineering.
- Yun-Sheng Chen, Ph.D., Research Assistant Professor, University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Department of Bioengineering, Carle Illinois College of Medicine
- John J. Farrell, M.D., Professor of Medicine, University of Illinois College of Medicine, Medical Director OSF HealthCare Microbiology & Infection Control
In this proposal, we will address the unmet need for point-of-care serological tests with quantifiable and improved accuracies. Our goal is to develop a cost-effective SARS-CoV-2 serological testing mechanism that minimizes false-positive rate and is ready for scaling up for large-scale screening. The objective of this proposal is that the team will work together to develop a machine-learning-enabled detection mechanism that can quantify the antibody responses due to SARS-CoV-2 in minutes with pg/mL sensitivity using a cost-effective chiral fluorescent sensor and handheld readout devices.
Low pathogen counts in whole blood samples
- Rashid Bashir, Ph.D., University of Illinois at Urbana-Champaign, The Grainger College of Engineering, Department of Bioengineering.
- Enrique Valera, Ph.D., University of Illinois at Urbana-Champaign, The Grainger College of Engineering, Department of Bioengineering
- John J. Farrell, MD., Professor Clinical Medicine, University of Illinois College of Medicine; Director of Diagnostic Microbiology & Immunology, OSF HealthCare System Lab
This project will demonstrate the feasibility of a new platform to achieve the detection of low bacteria and fungi counts (1-3 CFU/mL), in less than 2 hours, analyzing large volumes of whole blood (up to 5 mL) from clinical samples. Likewise, we would like to advance our understanding of the reaction mechanisms and fundamental questions regarding the bi-phasic reaction.
Virtual reality simulation training for neonatal procedures
- Nicole Rau, M.D., M.S., University of Illinois College of Medicine at Peoria, Pediatrics, Division of Neonatology
- M. Jawad Javed, M.D., University of Illinois College of Medicine at Peoria, Pediatrics, Division of Neonatology
- Harris Nisar, Simulation Engineer, University of Illinois at Urbana-Champaign, The Grainger College of Engineering, Health Care Engineering Systems Center
Through a combined effort between engineers and artists from the University of Illinois at Urbana-Champaign (UIUC) and physicians from the University of Illinois, College of Medicine in Peoria (UICOMP) division of neonatology, we aim to develop an innovative VR platform on which to provide simulation training in neonatal procedures for community providers. This software will be based on a curriculum developed by neonatal experts.
Augmented reality assisted endotracheal intubation (ETI) trainer
- Anusha Muralidharan, Simulation Engineer, Health Care Engineering Systems Center, Grainger College of Engineering, University of Illinois at Urbana-Champaign
- Praveen Kumar, MD, Professor of Clinical Pediatrics, University of Illinois College of Medicine at Peoria.
- Thenkurussi Kesavadas, PhD, Director, Health Care Engineering Systems Center, Professor, Grainger College of Engineering, University of Illinois at Urbana Champaign
- Neil Mehta, MD, Clinical Assistant Professor of Surgery, University of Illinois College of Medicine at Peoria
This proposal aims to develop a high fidelity training simulator to train health professionals, medical students and residents on endotracheal intubation (ETI) and provide feedback through
- The design and develop a high fidelity ETI smart trainer to teach endotracheal intubation
- Collecting data on health care providers proficient in the procedure of ETI to establish normative data to create a performance trajectory model
- Development of an augmented reality (AR) application for visualization and feedback
- Validation of the developed augmented reality based simulation trainer by comparing the performance of novice and proficient health care providers in the procedure of ETI to understand differences in technique between these groups
FlightPath and Neuro DNA: Creating a New Interoperability Standard for the Evaluation of Neuro cognitive Impairment
- Adam Cross, M.D., FAAP; Assistant Professor of Clinical Pediatrics and Clinical Informatics Specialist, Head of the Children’s Innovation Lab, JUMP Trading Simulation and Education Center; University of Illinois College of Medicine Peoria, Department of Pediatrics
- Inki Kim, PhD; Research Scientist, Coordinated Science Lab, Health Care Engineering Systems Center, University of Illinois at Urbana-Champaign
Conditions associated with neurocognitive impairment (NCI) often present heterogeneously through various combinations of physical and cognitive impairments, posing a challenge to diagnosis. Common etiologies, such as traumatic brain injury (TBI) and dementia, are not yet routinely identified through objective lab or imaging results but instead rely on a combination of physical and cognitive evaluations as well as symptom reporting. The testing batteries are primarily paper-based, dependent on language and education, suffer from learning bias, and must be administered by a health care professional. This project seeks to address these limitations by developing a new interoperability standard for NCI based on an individual’s ability to track an object within a mixed reality (MR) space and will first test this paradigm as a novel method for the detection and characterization of concussion.