- Advanced Pathophysiology
- Precision biomarkers and molecular diagnostics for acute neurological injury
- Stroke immunology
- Machine learning-based biomarker discovery
- Omics and bioinformatics
Use of deep artificial neural networks to identify stroke during triage via subtle changes in circulating cell counts.
Grant C. O’Connell, Kyle B. Walsh, Truman J. Milling, Steven J. Warach, Taura L. Barr.
BMC Neurology (2022)
Large-scale informatic analysis to algorithmically identify novel blood biomarkers of neurological damage.
Grant C. O’Connell, Megan L. Alder, Christine G. Smothers, Julia H.C. Chang.
Bioinformatic analysis of brain-specific miRNAs for identification of candidate traumatic brain injury blood biomarkers.
Grant C. O’Connell, Christine G. Smothers, Chris Winkelman.
Brain Injury (2020)
High-throughput profiling of circulating antibody signatures for stroke diagnosis using small volumes of whole blood.
Grant C. O’Connell, Phillip Stafford, Kyle B. Walsh, Opeolu Adeoye, Taura L. Barr.
Analysis of early stroke-induced changes in circulating leukocyte counts using transcriptomic deconvolution.
Grant C. O’Connell, Julia H.C. Chang
Translational Neuroscience (2018)
Monocyte-lymphocyte cross-communication via soluble CD163 directly links innate immune system activation and adaptive immune system suppression following ischemic stroke.
Grant C. O’Connell, Connie S. Tennant, Noelle Lucke-Wold, Yasser Kabbani, Abdul R. Tarabishy, Paul D. Chantler, Taura L. Barr.
Scientific Reports (2017)
Machine-learning approach identifies a pattern of gene expression in peripheral blood which can accurately detect ischaemic stroke.
Grant C. O’Connell, Ashley B. Petrone, Madison B. Treadway, Connie S. Tennant, Noelle Wold, Paul D. Chantler, Taura L. Barr.
npj Genomic Medicine (2016)
Complete list of publications: https://scholar.google.com/citations?user=4dCMK7QAAAAJ&hl=en