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Jordan, K., Vos-Draper, T., Morrow, M., & Sonenblum, S. (2023). The usability of two mobile health assistive technologies for wheelchair-related in-seat movement and pressure. Journal of rehabilitation and assistive technologies engineering, 10, 20556683231211808. https://doi.org/10.1177/20556683231211808

Vos-Draper T, Vinoski Thomas E, Graybill E, Morrow M, Jordan KA, Manley PR, Sonenblum SE. Stakeholder Perspectives on mHealth Technologies to Prevent Sitting-Acquired Pressure Injuries in Long-Term Care Facilities: Mixed Methods Study. JMIR Form Res. 2025 Sep 17;9:e59590. doi: 10.2196/59590. PMID: 40962322; PMCID: PMC12489400.

Bates-Jensen BM, Jordan K, Jewell W, Sonenblum SE. Thermal measurement of erythema across skin tones: Implications for clinical identification of early pressure injury. J Tissue Viability. 2024 Nov;33(4):745-752. doi: 10.1016/j.jtv.2024.08.002. Epub 2024 Aug 22. PMID: 39214728.

Asare-Baiden M, Sonenblum SE, Jordan K, Chung A, Gichoya JW, Hertzberg VS, Ho JC. A Feasibility Study of Thermography for Detecting Pressure Injuries Across Diverse Skin Tones. medRxiv [Preprint]. 2024 Oct 16:2024.10.14.24315465. doi: 10.1101/2024.10.14.24315465. PMID: 39484234; PMCID: PMC11527050.

Sonenblum SE, Jordan K, John GT, Chung A, Asare-Baiden M, Pelkmans J, Gichoya JW, Hertzberg VS, Ho JC. Impact of skin tone, environmental, and technical factors on thermal imaging. PLoS One. 2025 Sep 10;20(9):e0325091. doi: 10.1371/journal.pone.0325091. PMID: 40929141; PMCID: PMC12422453.

Asare-Baiden M, Sonenblum SE, Jordan K, John GT, Chung A, Gichoya JW, Hertzberg VS, Ho JC. Impact of Imaging Protocols on Convolutional Neural Network-Based Pressure Injury Detection. Res Sq [Preprint]. 2025 Oct 21:rs.3.rs-7263214. doi: 10.21203/rs.3.rs-7263214/v1. PMID: 41282160; PMCID: PMC12633507.

Jordan K, John GT, Chung A, Asare-Baiden M, Hertzberg VS, Ho JC, Sonenblum SE. Impact of skin tone and cupping on erythema and thermal imaging measurements. Sci Rep. 2025 Nov 27;15(1):42575. doi: 10.1038/s41598-025-24823-w. PMID: 41309734; PMCID: PMC12663286.

Vos-Draper T, Jordan K, Morrow M, Udulutch E, Sonenblum SE. Monitoring of wheelchair use in long-term memory care units. Geriatr Nurs. 2026 Apr;69:103808. doi: 10.1016/j.gerinurse.2026.103808. Epub 2026 Jan 23. PMID: 41579660; PMCID: PMC12919911.

Thomas A. Walton, Darin Tsui, Lauren Fogel, Dustin J. E. Huard. Rafael S. Chagas, Raquel L. Lieberman, and Amirali Aghazadeh. GOLF: A generative AI framework for pathogenicity prediction of myocilin OLF variants. In Machine Learning in Computational Biology, 2025.

A. Venkatesh, F. Esmailie, N. Tregobov et al. A Novel Computational Method to Predict Hypoattenuated Leaflet Thickening Post-Transcatheter Aortic Valve Replacement Using Pre-Procedural CT Scans. JTCVS Structural and Endovascular, 2024: p. 100041. https://doi.org/10.1016/j.xjse.2024.100041

Yeats Breandan, B., A. Venkatesh, K. Sivakumar et al., Mechanics Post-TAVR for Trileaflet vs Bicuspid Aortic Valves. JACC: Advances, 2025. 4(12_Part_2): p. 102358. https://doi.org/10.1016/j.jacadv.2025.102358

M. Moscarelli, A. Venkatesh, K. Berland et al. Post-implant transcatheter aortic prosthesis deformation: tricuspid versus bicuspid valve. European Journal of Cardio-Thoracic Surgery, 2024. 67(1). https://doi.org/10.1093/ejcts/ezae451

Khinsoe, G., C. Ream, A. Venkatesh et al. CT-derived computational modelling in the lifetime management of aortic stenosis. Journal of Cardiovascular Computed Tomography, 2025. https://doi.org/10.1016/j.jcct.2025.10.014

Kim JH, Sadri V, Chen H, Bhat S, Kohli K, Makkar R, Babaliaros VC, Sharma RP, Yoganathan AP. Effect of Ascending Aortic Curvature on Flow in the Sinus and Neo-sinus Following TAVR: A Patient-Specific Study. Ann Biomed Eng. 2024 Feb;52(2):425-439. doi: 10.1007/s10439-023-03392-x. Epub 2023 Nov 3. PMID: 37922056.

Bhat SS, Kim JH, Karnik S, Bagheri M, Dasi LP. Long-term Mechanical Durability of Inspiris RESILIA Surgical Aortic Valves. Ann Thorac Surg Short Rep. 2024 Dec 16;3(2):373-378. doi: 10.1016/j.atssr.2024.11.013. PMID: 40525171; PMCID: PMC12167535.

Lee H, Menezes V, Zeng S, Kim C, Baseman CM, Kim JH, Padmanabhan S, Premdas P, Djeddar N, Bryksin A, Pandey N, Anastasiadis P, Kim AJ, MacDonald TJ, Bettegowda C, Woodworth GF, Herrmann FJ, Arvanitis C. Data-driven feedback augments ultrasound nanotheranostics in brain tumors. bioRxiv [Preprint]. 2025 May 7:2025.05.01.651328. doi: 10.1101/2025.05.01.651328. PMID: 40654633; PMCID: PMC12247749.