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Publications

Recent Publications

The list below displays 20 of our most recent publications.

  1. Mahalanabis, A, Turinsky, AL, Husić, M, Christensen, E, Luo, P, Naidas, A, Brudno, M, Pugh, T, Ramani, AK, Shooshtari, P. Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets. Comput Struct Biotechnol J. 2022;20 :6375-6387. doi: 10.1016/j.csbj.2022.10.029.
  2. Barraclough, M, Erdman, L, Diaz-Martinez, JP, Knight, A, Bingham, K, Su, J, Kakvan, M, Muñoz Grajales, C, Tartaglia, MC, Ruttan, L, Wither, J, Choi, MY, Bonilla, D, Appenzeller, S, Parker, B, Goldenberg, A, Katz, P, Beaton, D, Green, R, Bruce, IN, Touma, Z. Systemic lupus erythematosus phenotypes formed from machine learning with a specific focus on cognitive impairment. Rheumatology (Oxford). 2022; :. doi: 10.1093/rheumatology/keac653.
  3. Misztal, M, Liao, F, Couse, M, Cao, J, Dominguez, D, Lau, L, Marshall, CR, Naumenko, S, Knight, AM, Levy, DM, Hiraki, LT. Genome-wide Sequencing Identified Rare Genetic Variants for Childhood-onset Monogenic Lupus. J Rheumatol. 2022; :. doi: 10.3899/jrheum.220513.
  4. Hung, L, Celik, A, Yin, X, Yu, K, Berenjy, A, Kothari, A, Obernolte, H, Upton, JEM, Lindholm Bøgh, K, Somers, GR, Siddiqui, I, Grealish, M, Quereshy, FA, Sewald, K, Chiu, PPL, Eiwegger, T. Precision cut intestinal slices, a novel model of acute food allergic reactions. Allergy. 2022; :. doi: 10.1111/all.15579.
  5. Awamleh, Z, Goodman, S, Kallurkar, P, Wu, W, Lu, K, Choufani, S, Turinsky, AL, Weksberg, R. Generation of DNA Methylation Signatures and Classification of Variants in Rare Neurodevelopmental Disorders Using EpigenCentral. Curr Protoc. 2022;2 (11):e597. doi: 10.1002/cpz1.597.
  6. Hartley, T, Soubry, É, Acker, M, Osmond, M, Couse, M, Gillespie, MK, Ito, Y, Marshall, AE, Lemire, G, Huang, L, Chisholm, C, Eaton, AJ, Price, EM, Dowling, JJ, Ramani, AK, Mendoza-Londono, R, Costain, G, Axford, MM, Szuto, A, McNiven, V, Damseh, N, Jobling, R, de Kock, L, Mojarad, BA, Young, T, Shao, Z, Hayeems, RZ, Graham, ID, Tarnopolsky, M, Brady, L, Armour, CM, Geraghty, M, Richer, J, Sawyer, S, Lines, M, Mercimek-Andrews, S, Carter, MT, Graham, G, Kannu, P, Lazier, J, Li, C, Aul, RB, Balci, TB, Dlamini, N, Badalato, L, Guerin, A, Walia, J, Chitayat, D, Cohn, R, Faghfoury, H, Forster-Gibson, C, Gonorazky, H, Grunebaum, E, Inbar-Feigenberg, M, Karp, N, Morel, C, Rusnak, A, Sondheimer, N, Warman-Chardon, J, Bhola, PT, Bourque, DK, Chacon, IJ, Chad, L, Chakraborty, P, Chong, K, Doja, A, Goh, ES, Saleh, M, Care4Rare Canada, Potter, BK, Marshall, CR, Dyment, DA, Kernohan, K, Boycott, KM. Bridging clinical care and research in Ontario, Canada: Maximizing diagnoses from reanalysis of clinical exome sequencing data. Clin Genet. 2022; :. doi: 10.1111/cge.14262.
  7. Piedimonte, S, Erdman, L, So, D, Bernardini, MQ, Ferguson, SE, Laframboise, S, Bouchard Fortier, G, Cybulska, P, May, T, Hogen, L. Using a machine learning algorithm to predict outcome of primary cytoreductive surgery in advanced ovarian cancer. J Surg Oncol. 2022; :. doi: 10.1002/jso.27137.
  8. Celik, A, Somer, M, Kukreja, B, Wu, T, Kalish, BT. The Genomic Architecture of Pregnancy-Associated Plasticity in the Maternal Mouse Hippocampus. eNeuro. 2022;9 (5):. doi: 10.1523/ENEURO.0117-22.2022.
  9. Khondker, A, Kwong, JCC, Yadav, P, Chan, JYH, Singh, A, Skreta, M, Erdman, L, Keefe, DT, Fischer, K, Tasian, G, Hannick, JH, Papanikolaou, F, Cooper, BJ, Cooper, CS, Rickard, M, Lorenzo, AJ. Multi-institutional Validation of Improved Vesicoureteral Reflux Assessment With Simple and Machine Learning Approaches. J Urol. 2022;208 (6):1314-1322. doi: 10.1097/JU.0000000000002987.
  10. Kwong, JCC, Erdman, L, Khondker, A, Skreta, M, Goldenberg, A, McCradden, MD, Lorenzo, AJ, Rickard, M. The silent trial - the bridge between bench-to-bedside clinical AI applications. Front Digit Health. 2022;4 :929508. doi: 10.3389/fdgth.2022.929508.
  11. Ciftci Kavaklioglu, B, Erdman, L, Goldenberg, A, Kavaklioglu, C, Alexander, C, Oppermann, HM, Patel, A, Hossain, S, Berenbaum, T, Yau, O, Yea, C, Ly, M, Costello, F, Mah, JK, Reginald, A, Banwell, B, Longoni, G, Ann Yeh, E. Machine learning classification of multiple sclerosis in children using optical coherence tomography. Mult Scler. 2022;28 (14):2253-2262. doi: 10.1177/13524585221112605.
  12. Weaver, JK, Milford, K, Rickard, M, Logan, J, Erdman, L, Viteri, B, D'Souza, N, Cucchiara, A, Skreta, M, Keefe, D, Shah, S, Selman, A, Fischer, K, Weiss, DA, Long, CJ, Lorenzo, A, Fan, Y, Tasian, GE. Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves. Pediatr Nephrol. 2022; :. doi: 10.1007/s00467-022-05677-0.
  13. Volpatti, JR, Ghahramani-Seno, MM, Mansat, M, Sabha, N, Sarikaya, E, Goodman, SJ, Chater-Diehl, E, Celik, A, Pannia, E, Froment, C, Combes-Soia, L, Maani, N, Yuki, KE, Chicanne, G, Uusküla-Reimand, L, Monis, S, Alvi, SA, Genetti, CA, Payrastre, B, Beggs, AH, Bonnemann, CG, Muntoni, F, Wilson, MD, Weksberg, R, Viaud, J, Dowling, JJ. X-linked myotubular myopathy is associated with epigenetic alterations and is ameliorated by HDAC inhibition. Acta Neuropathol. 2022;144 (3):537-563. doi: 10.1007/s00401-022-02468-7.
  14. Mirchi, N, Warsi, NM, Zhang, F, Wong, SM, Suresh, H, Mithani, K, Erdman, L, Ibrahim, GM. Decoding Intracranial EEG With Machine Learning: A Systematic Review. Front Hum Neurosci. 2022;16 :913777. doi: 10.3389/fnhum.2022.913777.
  15. Wagner, MW, So, D, Guo, T, Erdman, L, Sheng, M, Ufkes, S, Grunau, RE, Synnes, A, Branson, HM, Chau, V, Shroff, MM, Ertl-Wagner, BB, Miller, SP. MRI based radiomics enhances prediction of neurodevelopmental outcome in very preterm neonates. Sci Rep. 2022;12 (1):11872. doi: 10.1038/s41598-022-16066-w.
  16. Monah, SR, Wagner, MW, Biswas, A, Khalvati, F, Erdman, LE, Amirabadi, A, Vidarsson, L, McCradden, MD, Ertl-Wagner, BB. Data governance functions to support responsible data stewardship in pediatric radiology research studies using artificial intelligence. Pediatr Radiol. 2022;52 (11):2111-2119. doi: 10.1007/s00247-022-05427-2.
  17. Endo, Y, Groom, L, Celik, A, Kraeva, N, Lee, CS, Jung, SY, Gardner, L, Shaw, MA, Hamilton, SL, Hopkins, PM, Dirksen, RT, Riazi, S, Dowling, JJ. Variants in ASPH cause exertional heat illness and are associated with malignant hyperthermia susceptibility. Nat Commun. 2022;13 (1):3403. doi: 10.1038/s41467-022-31088-8.
  18. Sarikaya, E, Sabha, N, Volpatti, J, Pannia, E, Maani, N, Gonorazky, HD, Celik, A, Liang, Y, Onofre-Oliveira, P, Dowling, JJ. Natural history of a mouse model of X-linked myotubular myopathy. Dis Model Mech. 2022;15 (7):. doi: 10.1242/dmm.049342.
  19. Lahiry, P, Naumenko, S, Couse, M, Liao, F, Dominguez, D, Knight, A, Levy, DM, Misztal, M, Ng, LWK, Hiraki, LT. Hemophagocytic Lymphohistiocytosis Gene Variants in Childhood-Onset Systemic Lupus Erythematosus With Macrophage Activation Syndrome. J Rheumatol. 2022;49 (10):1146-1151. doi: 10.3899/jrheum.211200.
  20. Zuercher, M, Ufkes, S, Erdman, L, Slorach, C, Mertens, L, Taylor, K. Retraining an Artificial Intelligence Algorithm to Calculate Left Ventricular Ejection Fraction in Pediatrics. J Cardiothorac Vasc Anesth. 2022;36 (9):3610-3616. doi: 10.1053/j.jvca.2022.05.004.
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