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    Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group von Thagaard, J, Broeckx, G, Page, DB, Jahangir, CA, Verbandt, S, Kos, Z, Gupta, R, Khiroya, R, Abduljabbar, K, Acosta Haab, G, Acs, B, Akturk, G, Almeida, JS, Alvarado-Cabrero, I, Amgad, M, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Balslev, E, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonça Fujimoto, L, Bouchmaa, N, Burgues, O, Chardas, A, Chon U Cheang, M, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dahl, AB, Dantas Portela, FL, Deman, F, Demaria, S, Doré Hansen, J, Dudgeon, SN, Ebstrup, T, Elghazawy, M, Fernandez-Martín, C, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, PI, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hart, SN, Hartman, J, Hauberg, S, Hewitt, S, Hida, AI, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, AI, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovács, A, Laenkholm, AV, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS

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