Publications | Page 78 | Pathology & Laboratory Medicine

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2021

Ikemura K, Bellin E, Yagi Y, Billett H, Saada M, Simone K, et al. Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study. J Med Internet Res. 2021;23(2):e23458.

Khan KM, Kothari P, Du B, Dannenberg AJ, Falcone DJ. Correction: Matrix Metalloproteinase-Dependent Microsomal Prostaglandin E Synthase-1 Expression in Macrophages: Role of TNF-α and the EP4 Prostanoid Receptor. J Immunol. 2021;207(2):746-747.

Yusufova N, Kloetgen A, Teater M, Osunsade A, Camarillo JM, Chin CR, et al. Histone H1 loss drives lymphoma by disrupting 3D chromatin architecture. Nature. 2021;589(7841):299-305.

Schwartz DA, Baldewijns M, Benachi A, Bugatti M, Bulfamante G, Cheng K, et al. Hofbauer Cells and COVID-19 in Pregnancy. Arch Pathol Lab Med. 2021;145(11):1328-1340.

Stephens EA, Ludwicki MB, Meksiriporn B, Li M, Ye T, Monticello C, et al. Engineering Single Pan-Specific Ubiquibodies for Targeted Degradation of All Forms of Endogenous ERK Protein Kinase. ACS Synth Biol. 2021;10(9):2396-2408.

Mueller AC, Piper M, Goodspeed A, Bhuvane S, Williams JS, Bhatia S, et al. Induction of ADAM10 by Radiation Therapy Drives Fibrosis, Resistance, and Epithelial-to-Mesenchyal Transition in Pancreatic Cancer. Cancer Res. 2021;81(12):3255-3269.

Gomes C, Zuniga M, Crotty KA, Qian K, Tovar NC, Lin LH, et al. Autoimmune anti-DNA and anti-phosphatidylserine antibodies predict development of severe COVID-19. Life Sci Alliance. 2021;4(11).

Ketas TJ, Chaturbhuj D, Portillo VM, Francomano E, Golden E, Chandrasekhar S, et al. Antibody Responses to SARS-CoV-2 mRNA Vaccines Are Detectable in Saliva. Pathog Immun. 2021;6(1):116-134.

Ranasinha N, Omer A, Philippou Y, Harriss E, Davies L, Chow K, et al. Ductal adenocarcinoma of the prostate: A systematic review and meta-analysis of incidence, presentation, prognosis, and management. BJUI Compass. 2021;2(1):13-23.

Showalter K, Spiera R, Magro C, Agius P, Martyanov V, Franks JM, et al. Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement. Ann Rheum Dis. 2021;80(2):228-237.