Artificial intelligence in digital pathology approach identifies the predictive impact of tertiary lymphoid structures with immune-checkpoints therapy in NSCLC.

Mehrdad Rakaee; Elio Adib; Biagio Ricciuti; Lynette M. Sholl; Weiwei Shi; Joao Victor Machado Alessi; Alessio Cortellini; Claudia A. M. Fulgenzi; David J. James Pinato; Sayed Ms Hashemi; Idris Bahce; Ilias Houda; Simin Jamaly; Sigve Andersen; Tom Donnem; Mark M. Awad; David J. Kwiatkowski

Artificial intelligence in digital pathology approach identifies the predictive impact of tertiary lymphoid structures with immune-checkpoints therapy in NSCLC.

Mehrdad Rakaee, Elio Adib, Biagio Ricciuti, Lynette M. Sholl, Weiwei Shi, Joao Victor Machado Alessi, Alessio Cortellini, Claudia A. M. Fulgenzi, David J. James Pinato, Sayed Ms Hashemi, Idris Bahce, Ilias Houda, Simin Jamaly, Sigve Andersen, Tom Donnem, Mark M. Awad, David J. Kwiatkowski

Research output: Contribution to journal › Meeting Abstract › Academic

Original language	English
Journal	Journal of clinical oncology
Volume	40
Issue number	16
Publication status	Published - 1 Jun 2022

Cite this

Rakaee, M., Adib, E., Ricciuti, B., Sholl, L. M., Shi, W., Alessi, J. V. M., Cortellini, A., Fulgenzi, C. A. M., Pinato, D. J. J., Hashemi, S. M., Bahce, I., Houda, I., Jamaly, S., Andersen, S., Donnem, T., Awad, M. M., & Kwiatkowski, D. J. (2022). Artificial intelligence in digital pathology approach identifies the predictive impact of tertiary lymphoid structures with immune-checkpoints therapy in NSCLC. Journal of clinical oncology, 40(16).

@article{bdee0ed7c8704e1d83e4b591afb36b1d,

title = "Artificial intelligence in digital pathology approach identifies the predictive impact of tertiary lymphoid structures with immune-checkpoints therapy in NSCLC.",

author = "Mehrdad Rakaee and Elio Adib and Biagio Ricciuti and Sholl, {Lynette M.} and Weiwei Shi and Alessi, {Joao Victor Machado} and Alessio Cortellini and Fulgenzi, {Claudia A. M.} and Pinato, {David J. James} and Hashemi, {Sayed Ms} and Idris Bahce and Ilias Houda and Simin Jamaly and Sigve Andersen and Tom Donnem and Awad, {Mark M.} and Kwiatkowski, {David J.}",

year = "2022",

month = jun,

day = "1",

language = "English",

volume = "40",

journal = "Journal of clinical oncology",

issn = "0732-183X",

publisher = "American Society of Clinical Oncology",

number = "16",

}

Rakaee, M, Adib, E, Ricciuti, B, Sholl, LM, Shi, W, Alessi, JVM, Cortellini, A, Fulgenzi, CAM, Pinato, DJJ, Hashemi, SM , Bahce, I, Houda, I, Jamaly, S, Andersen, S, Donnem, T, Awad, MM & Kwiatkowski, DJ 2022, 'Artificial intelligence in digital pathology approach identifies the predictive impact of tertiary lymphoid structures with immune-checkpoints therapy in NSCLC.', Journal of clinical oncology, vol. 40, no. 16.

TY - JOUR

T1 - Artificial intelligence in digital pathology approach identifies the predictive impact of tertiary lymphoid structures with immune-checkpoints therapy in NSCLC.

AU - Rakaee, Mehrdad

AU - Adib, Elio

AU - Ricciuti, Biagio

AU - Sholl, Lynette M.

AU - Shi, Weiwei

AU - Alessi, Joao Victor Machado

AU - Cortellini, Alessio

AU - Fulgenzi, Claudia A. M.

AU - Pinato, David J. James

AU - Hashemi, Sayed Ms

AU - Bahce, Idris

AU - Houda, Ilias

AU - Jamaly, Simin

AU - Andersen, Sigve

AU - Donnem, Tom

AU - Awad, Mark M.

AU - Kwiatkowski, David J.

PY - 2022/6/1

Y1 - 2022/6/1

M3 - Meeting Abstract

SN - 0732-183X

VL - 40

JO - Journal of clinical oncology

JF - Journal of clinical oncology

IS - 16

ER -