Pathology & Laboratory Medicine

Publications

Filter By Faculty

Filter by Principal Investigator

2024

Liu Y-, Geyer JT. Pediatric Hematopathology in the Era of Advanced Molecular Diagnostics: What We Know and How We Can Apply the Updated Classifications. Pathobiology. 2024;91(1):30-44.

Kim D, Thrall MJ, Michelow P, Schmitt FC, Vielh PR, Siddiqui MT, et al. The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force. J Am Soc Cytopathol. 2024;13(5):319-328.

Galbraith K, Serrano J, Shen G, Tran I, Slocum CC, Ketchum C, et al. Impact of Rare and Multiple Concurrent Gene Fusions on Diagnostic DNA Methylation Classifier in Brain Tumors. Mol Cancer Res. 2024;22(1):21-28.

Kudman S, Semaan A, Assaad MA, Gogineni S, M Martin L, Mathew S, et al. Optimization of Fluorescence In Situ Hybridization Protocols in the Era of Precision Medicine. Curr Protoc. 2024;4(6):e1093.

Ohara K, Rendeiro AF, Bhinder B, Eng KW, Ravichandran H, Nguyen D, et al. The evolution of metastatic upper tract urothelial carcinoma through genomic-transcriptomic and single-cell protein markers analysis. Nat Commun. 2024;15(1):2009.

Kubiak JM, Klevay M, Hilt EE, Ferrieri P. Acute Meningoencephalitis Associated with Borrelia miyamotoi, Minnesota, USA. Emerg Infect Dis. 2024;30(7):1472-1474.

Daman AW, Antonelli AC, Redelman-Sidi G, Paddock L, Cheong JG, Jurado LF, et al. Microbial cancer immunotherapy reprograms hematopoietic stem cells to enhance anti-tumor immunity. bioRxiv. 2024.

Bendari A, Geetha SD, Al-Refai R, Zhong X, Sham S, Harshan M. Papillary Thyroid Carcinoma With Lymphoepithelial Features and Lacking Association With Epstein-Barr Virus (EBV): A Rare Case. Cureus. 2024;16(2):e55222.

Smithgall MC, Yemelyanova A, Mathew S, Gogineni S, He B, Zhang T, et al. HER2/ ERBB2 Immunohistochemical Expression and Copy Number Status in Ovarian Mucinous Tumors. Int J Gynecol Pathol. 2024;43(2):134-139.

Dinalankara W, Ng DP, Marchionni L, Simonson PD. Comparison of three machine learning algorithms for classification of B-cell neoplasms using clinical flow cytometry data. Cytometry B Clin Cytom. 2024;106(4):282-293.