Projects and Funding
CAMA provides extensive resources that support the research funded by many Grants and Gifts. These same Grants and Gifts also help support the infrastructure behind CAMA.
Current Projects and Funding
Major Goals: By applying a simple and scalable new method to quantify respiratory kinematics, this project will elucidate the kinematic signatures of respiratory instability more comprehensively than ever before.
Name of PI: Gadrey, Shrirang
*Source of Support: NIH-NHLBI, 1R01HL176600-01
Project Start and End Date: 2/1/2025 to 12/31/2029
The aims are to develop and to validate new predictive models for sepsis and necrotizing enterocolitis that incorporate all available monitoring data, not just heart rate.
MPIs: Fairchild, K.D. and Sullivan, B. A.
*Source of Support: NICHD, 5R01 HD072071-07
Project Start and End Date: 07/10/2014 – 07/31/2027
Recent Publications:
- Levinson MA, Niestroy J, Al Manir S, Fairchild K, Lake DE, Moorman JR, Clark T. FAIRSCAPE: a Framework for FAIR and Reproducible Biomedical Analytics. Neuroinformatics. 2022 Jan;20(1):187-202. doi: 10.1007/s12021-021-09529-4. Epub 2021 Jul 15. PMID: 34264488; PMCID: PMC8760356.
- Elliott M, Fairchild K, Zanelli S, McPherson C, Vesoulis Z. Dexmedetomidine During Therapeutic Hypothermia: A Multicenter Quality Initiative. Hosp Pediatr. 2024 Jan 1;14(1):30-36. doi: 10.1542/hpeds.2023-007403. PMID: 38115800; PMCID: PMC10750168.
Major Goals: The major goal of this project is to develop personalized prognostic models for consequences of neonatal intermittent hypoxemia in preterm infants at pre-school age.
UVA PI: Lake, D. E.
*Source of Support: R01 Originating from NHLBI flowing through Northwestern University
Project Start and End Date: 12/01/2021 – 1/30/2026
Major Goals: To build a repository of collaborative hospital data with unified standards for NIH to use for equitable patient-focused Artificial Intelligence
Name of MPIs: Rosenthal, ES, and Sullivan, BA
*Source of Support: Originating from OFFICE OF THE DIRECTOR, NATIONAL INSTITUTES OF HEALTH 1OT2OD032701-01 flowing through MASSACHUSETTS GENERAL HOSPITAL
Project Start and End Date: 09/01/2022 – 8/31/2026
Recent Publications:
- Sauer CM, Pucher G, Celi LA. Why federated learning will do little to overcome the deeply embedded biases in clinical medicine. Intensive Care Med. 2024 Aug;50(8):1390-1392. doi: 10.1007/s00134-024-07491-8. Epub 2024 Jun 3. PMID: 38829532; PMCID: PMC11306542.
- Monfredi OJ, Moore CC, Sullivan BA, Keim-Malpass J, Fairchild KD, Loftus TJ, Bihorac A, Krahn KN, Dubrawski A, Lake DE, Moorman JR, Clermont G. Continuous ECG monitoring should be the heart of bedside AI-based predictive analytics monitoring for early detection of clinical deterioration. J Electrocardiol. 2023 Jan-Feb;76:35-38. doi: 10.1016/j.jelectrocard.2022.10.011. Epub 2022 Nov 2. PMID: 36434848; PMCID: PMC10061545.
- Iqbal U, Hsu YE, Celi LA, Li YJ. Artificial intelligence in healthcare: Opportunities come with landmines. BMJ Health Care Inform. 2024 Jun 5;31(1):e101086. doi: 10.1136/bmjhci-2024-101086. PMID: 38839426; PMCID: PMC11163668.
Major Goals: Translating features of NOWS (Neonatal Opioid Withdrawal Syndrome) in pulse oximetry data into a real-time objective measure of withdrawal by using, validating and optimizing POWS (Pulse Oximetry Withdrawal Score) model.
Name of MPI: Sullivan, Brynne A.
*Source of Support: NIBIB, 1R18EB035019-01
Project Start and End Date: 08/2023-07/2026
Major Goals: Developing predictive analytics using physiomarker, biomarker and clinical data as tools for early warning of LOS and NEC in a high-risk population, premature infants with very low birth weight (VLBW, <1500g).
Name of PI: Sullivan, Brynne
*Source of Support: NICHD, 5K23HD097254-05
Project Start and End Date: 07/2019-06/2025
Recent Publications:
- Kumar R, Kausch SL, Gummadi AKS, Fairchild KD, Abhyankar MM, Petri WA Jr, Sullivan BA. Inflammatory biomarkers and physiomarkers of late-onset sepsis and necrotizing enterocolitis in premature infants. Front Pediatr. 2024 Jan 19;12:1337849. doi: 10.3389/fped.2024.1337849. PMID: 38312920; PMCID: PMC10834753.
- Bultmann CR, Qiu J, Belmonte B, Fairchild KD, Sullivan BA. Heart rate and oxygen saturation patterns in very low birth weight infants with early onset sepsis and histologic chorioamnionitis. J Neonatal Perinatal Med. 2024;17(2):209-215. doi: 10.3233/NPM-230093. PMID: 38578905.
Major Goals: The major goals of this project are to determine the real time impact of predictive modeling in acute care cardiology.
Name of Co-PIs: Keim-Malpass, J. and Bourque, J.
*Source of Support: University of Virginia Frederick Thomas Advanced Medical Analytics Fund and in-kind support from AMP3D, LLC ; AHRQ, R01HS028803; School of Medicine Office for Research Gap Funding
Project Start and End Date: 01/01/2019 – 8/31/2025
Recent Publications:
- Keim-Malpass J, Kausch SL. Data Science and Precision Oncology Nursing: Creating an Analytic Ecosystem to Support Personalized Supportive Care across the Trajectory of Illness. Semin Oncol Nurs. 2023 Jun;39(3):151432. doi: 10.1016/j.soncn.2023.151432. Epub 2023 May 5. PMID: 37149440; PMCID: PMC10330746.
Major Goals: Develop infrastructure and protocols for diverse data collection, and open-source trajectory (time series)-based analytics to operate on Childhood Cancer Data Initiative datasets, to promote AI readiness.
Name of PI: Keim-Malpass, J
*Source of Support: UVA Emily Couric Cancer Center
Project Start and End Date: 12/1/2023 – 11/31/2024
Major Goals: Cancer pain is complex, prevalent and has serious consequences for patients, family caregivers and healthcare systems. The purpose of this study is to deploy an unobtrusive smart health system, the Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C), to monitor and describe – and ultimately to predict and help manage – the experience of advanced cancer pain in the home setting.
Name of PD/PI: LeBaron,V
*Source of Support: NIH, R01- NR019639
Project Start and End Date: 02/2021 – 11/2025
Recent Publications:
- LeBaron V, Homdee N, Ogunjirin E, Patel N, Blackhall L, Lach J. Describing and visualizing the patient and caregiver experience of cancer pain in the home context using ecological momentary assessments. Digit Health. 2023 Aug 29;9:20552076231194936. doi: 10.1177/20552076231194936. PMID: 37654707; PMCID: PMC10467200.
- LeBaron V. Challenges and Opportunities in Designing and Deploying Remote Health Monitoring Technology for Older Adults With Cancer. Innov Aging. 2022 Sep 1;6(6):igac057. doi: 10.1093/geroni/igac057. PMID: 36452048; PMCID: PMC9701055.
- LeBaron V, Alam R, Bennett R, Blackhall L, Gordon K, Hayes J, Homdee N, Jones R, Lichti K, Martinez Y, Mohammadi S, Ogunjirin E, Patel N, Lach J. Deploying the Behavioral and Environmental Sensing and Intervention for Cancer Smart Health System to Support Patients and Family Caregivers in Managing Pain: Feasibility and Acceptability Study. JMIR Cancer. 2022 Aug 9;8(3):e36879. doi: 10.2196/36879. PMID: 35943791; PMCID: PMC9399893.
Major Goals: Analysis of Respiratory Kinematics (ARK): novel wearable technology for remote detection of labored breathing in the Neonatal Intensive Care Unit
Name of PI: Sullivan, Brynne & Gadrey, Shrirang
*Source of Support: Ivy Biomedical Innovation Fund
Project Start and End Date: 4/1/2024 – 3/30/2025
Major Goals: To establish home ARK monitoring capacities, and validate the clinical standards of ARK signals collected at home.
Name of PI: Gadrey, Shrirang
*Source of Support: Virginia Innovation Partnership Corporation’s (VIPC) Commonwealth Commercialization Fund (CCF)
Project Start and End Date: 9/1/23 – 8/31/2024
Completed Projects and Funding
Major Goals: The aims are to quantify immature breathing in a large cohort of premature infants at 5 Clinical Research Centers, and to provide DCC functionality for the U01 cooperative agreement.
Name of MPIs: Moorman, J.R. and Lake, D.E.
*Source of Support: NHLBI and OD, U01 HL133708 and S1
Project Start and End Date: 9/1/2016 – 6/30/2023
Recent Publications:
- Dennery PA, Di Fiore JM, Ambalavanan N, Bancalari E, Carroll JL, Claure N, Hamvas A, Hibbs AM, Indic P, Kemp J, Krahn KN, Lake D, Laposky A, Martin RJ, Natarajan A, Rand C, Schau M, Weese-Mayer DE, Zimmet AM, Moorman JR. Pre-Vent: the prematurity-related ventilatory control study. Pediatr Res. 2019 May;85(6):769-776. doi: 10.1038/s41390-019-0317-8. Epub 2019 Feb 1. PMID: 30733614; PMCID: PMC6503843.
- Ambalavanan N, Weese-Mayer DE, Hibbs AM, Claure N, Carroll JL, Moorman JR, Bancalari E, Hamvas A, Martin RJ, Di Fiore JM, Indic P, Kemp JS, Dormishian A, Krahn KN, Qiu J, Dennery PA, Ratcliffe SJ, Troendle JF, Lake DE; Prematurity-related Ventilatory Control (Pre-Vent) Investigators. Cardiorespiratory Monitoring Data to Predict Respiratory Outcomes in Extremely Preterm Infants. Am J Respir Crit Care Med. 2023 Jul 1;208(1):79-97. doi: 10.1164/rccm.202210-1971OC. PMID: 37219236; PMCID: PMC10870840.
- Weese-Mayer DE, Di Fiore JM, Lake DE, Hibbs AM, Claure N, Qiu J, Ambalavanan N, Bancalari E, Kemp JS, Zimmet AM, Carroll JL, Martin RJ, Krahn KN, Hamvas A, Ratcliffe SJ, Krishnamurthi N, Indic P, Dormishian A, Dennery PA, Moorman JR; Prematurity-Related Ventilatory Control (Pre-Vent) Investigators. Maturation of cardioventilatory physiological trajectories in extremely preterm infants. Pediatr Res. 2024 Mar;95(4):1060-1069. doi: 10.1038/s41390-023-02839-0. Epub 2023 Oct 19. PMID: 37857848.
- Qiu J, Di Fiore JM, Krishnamurthi N, Indic P, Carroll JL, Claure N, Kemp JS, Dennery PA, Ambalavanan N, Weese-Mayer DE, Hibbs AM, Martin RJ, Bancalari E, Hamvas A, Randall Moorman J, Lake DE. Highly comparative time series analysis of oxygen saturation and heart rate to predict respiratory outcomes in extremely preterm infants. medRxiv [Preprint]. 2024 Jan 24:2024.01.24.24301724. doi: 10.1101/2024.01.24.24301724. Update in: Physiol Meas. 2024 Jun 03;45(5). doi: 10.1088/1361-6579/ad4e91. PMID: 38343830; PMCID: PMC10854343.
- Kausch SL, Lake DE, Di Fiore JM, Weese-Mayer DE, Claure N, Ambalavanan N, Vesoulis ZA, Fairchild KD, Dennery PA, Hibbs AM, Martin RJ, Indic P, Travers CP, Bancalari E, Hamvas A, Kemp JS, Carroll JL, Moorman JR, Sullivan BA; Prematurity-Related Ventilatory Control (Pre-Vent) Investigators. Apnea, Intermittent Hypoxemia, and Bradycardia Events Predict Late-Onset Sepsis in Extremely Preterm Infants. medRxiv [Preprint]. 2024 Jan 27:2024.01.26.24301820. doi: 10.1101/2024.01.26.24301820. Update in: J Pediatr. 2024 Aug;271:114042. doi: 10.1016/j.jpeds.2024.114042. PMID: 38343825; PMCID: PMC10854335.
Major Goals: The aims are to derive labored breathing indices with extracted markers from the ARK system on COVID-19 patients.
Name of PI: Gadrey, Shrirang
*Source of Support: The Ivy Foundation’s COVID-19 Translational Research Fund
Project Start and End Date: 07/01/2020 – 06/30/2021
Recent Publications:
- Ashe WB, Innis SE, Shanno JN, Hochheimer CJ, Williams RD, Ratcliffe SJ, Moorman JR, Gadrey SM. Analysis of respiratory kinematics: a method to characterize breaths from motion signals. Physiol Meas. 2022 Feb 22;43(1). doi: 10.1088/1361-6579/ac4d1a. PMID: 35045405.
Major Goals: The major goals are to develop targeted predictive analytics for COVID-19 patients and to incorporate them into an available platform for patient monitoring.
Name of PI: Gadrey, Shrirang
*Source of Support: Manning Fund for COVID-19 Research
Project Start and End Date: 06/01/2020 – 05/31/2021
Publications:
- Gadrey SM, Mohanty P, Haughey SP, Jacobsen BA, Dubester KJ, Webb KM, Kowalski RL, Dreicer JJ, Andris RT, Clark MT, Moore CC, Holder A, Kamaleswaran R, Ratcliffe SJ, Moorman JR. Overt and Occult Hypoxemia in Patients Hospitalized With COVID-19. Crit Care Explor. 2023 Jan 20;5(1):e0825. doi: 10.1097/CCE.0000000000000825. PMID: 36699241; PMCID: PMC9857543.
Major Goals: The major goals of this project are to apply highly comparative time series analysis to a large NICU monitoring database, and make the results available
Name of PI: Moorman, J. R.
*Source of Support: University of Virginia, Coulter Foundation
Project Start and End Date: 7/01/2019 – 6/30/2020
Major Goals: The aims are to determine predictive models of bloodstream infection by using big data and deep learning
Name of PI: Chris Moore; Nhat Rich Nguyen
*Source of Support: University of Virginia Global Infectious Disease Institute Collaborative Seed Grant; UVA Center for Engineering-in-Medicine seed grant
Project Start and End Date: 6/08/2020 – 6/07/2021; 11/22/21 – 11/21/22
- Zimmet AN, Clark MT, Gadrey SM, Bell TD, Zimmet AM, Moorman JR, Moore CC. Pathophysiologic Signatures of Bloodstream Infection in Critically Ill Adults. Crit Care Explor. 2020 Sep 23;2(10):e0191. doi: 10.1097/CCE.0000000000000191. PMID: 33063017; PMCID: PMC7523775.
Major Goals: The aims are to determine predictive vital sign patterns associated with brain injury in the NICU infants
Name of Co-PIs: Karen Fairchild, MD, Abigail Flower, PhD, Santina Zanelli, MD, MS
*Source of Support: University of Virginia Brain Institute
Project Start and End Date: 3/1/19-2/28/20
Publications:
- Vesoulis ZA, Flower AA, Zanelli S, Rambhia A, Abubakar M, Whitehead HV, Fairchild KD, Mathur AM. Blood pressure extremes and severe IVH in preterm infants. Pediatr Res. 2020 Jan;87(1):69-73. doi: 10.1038/s41390-019-0585-3. Epub 2019 Oct 2. PMID: 31578033; PMCID: PMC6962547.
Major Goals: The aims are to use continuous predictive monitoring data that relies on real-time physiologic monitoring data, documented vital signs, laboratory results, and other clinical assessments to predict clinical deterioration in an intensive care setting.
Name of PI: Jessica Keim-Malpass
*Source of Support: UVA Translational Health Research Institute of Virginia (THRIV)
Project Start and End Date: July 1, 2017 – June 30, 2019
Publications:
- Keim-Malpass J, Clark MT, Lake DE, Moorman JR. Towards development of alert thresholds for clinical deterioration using continuous predictive analytics monitoring. J Clin Monit Comput. 2020 Aug;34(4):797-804. doi: 10.1007/s10877-019-00361-5. Epub 2019 Jul 20. PMID: 31327101.
- Ruminski CM, Clark MT, Lake DE, Kitzmiller RR, Keim-Malpass J, Robertson MP, Simons TR, Moorman JR, Calland JF. Impact of predictive analytics based on continuous cardiorespiratory monitoring in a surgical and trauma intensive care unit. J Clin Monit Comput. 2019 Aug;33(4):703-711. doi: 10.1007/s10877-018-0194-4. Epub 2018 Aug 18. PMID: 30121744; PMCID: PMC9210030.
- Keim-Malpass J, Kitzmiller RR, Skeeles-Worley A, Lindberg C, Clark MT, Tai R, Calland JF, Sullivan K, Randall Moorman J, Anderson RA. Advancing Continuous Predictive Analytics Monitoring: Moving from Implementation to Clinical Action in a Learning Health System. Crit Care Nurs Clin North Am. 2018 Jun;30(2):273-287. doi: 10.1016/j.cnc.2018.02.009. PMID: 29724445.
Major Goals: Use predictive analytics for detection and early warning of hypoglycemia in intensive care units.
Name of PI: Horton, W. Benjamin
*Source of Support: University of Virginia School of Medicine, LaunchPad for Diabetes
Project Start and End Date: 01/01/2021 – 12/31/2022
*Source of Support: KL2TR003016 NIH/NCATS Papin (PI) Role: iTHRIV Research Scholar
Publications:
- Horton WB, Hannah EE, Morales FL, Chaney CR, Krahn KN, Chernyavskiy P, Clark MT, Moorman JR. Accuracy of a Risk Alert Threshold for ICU Hypoglycemia: Retrospective Analysis of Alert Performance and Association With Clinical Deterioration Events. Crit Care Med. 2023 Jan 1;51(1):136-140. doi: 10.1097/CCM.0000000000005713. Epub 2022 Nov 3. PMID: 36519987; PMCID: PMC9750112.
- Horton WB, Barros AJ, Andris RT, Clark MT, Moorman JR. Pathophysiologic Signature of Impending ICU Hypoglycemia in Bedside Monitoring and Electronic Health Record Data: Model Development and External Validation. Crit Care Med. 2022 Mar 1;50(3):e221-e230. doi: 10.1097/CCM.0000000000005171. PMID: 34166289; PMCID: PMC8855943.