Machine Learning Assessment of Pathologic Response in Lung Cancer Resections After Neoadjuvant Therapy-IASLC MPR Project.
- DOI
- 10.1016/j.jtho.2026.103953
- Published
- 2026 Jun 1
- Container
- Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jtho.2026.103953,
title = {Machine Learning Assessment of Pathologic Response in Lung Cancer Resections After Neoadjuvant Therapy-IASLC MPR Project.},
author = {Dacic S and Shenker D and Redman M and Brunner L and Saqi A and Cooper WA and Borczuk A and Chung JH and Glass C and Lopez JM and Roden AC and Sholl L and Weissferdt A and Brosnan-Cashman J and Hennek S and Grullon S and Posadas J and Fujimoto J and Connolly C and Wynes MW and Sanchez-Espiridion B and Lee JJ and Berezowska S and Chou TY and Kerr K and Nicholson AG and Schalper KA and Tsao MS and Ready N and Cascone T and Heymach J and Sepesi B and Shu C and Rizvi N and Sonett J and Altorki N and Provencio M and Bunn PA Jr and Kris MG and Travis W and Yu L and Wistuba I and IASLC Pathology Committee},
year = {2026},
journal = {Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer},
doi = {10.1016/j.jtho.2026.103953},
url = {https://doi.org/10.1016/j.jtho.2026.103953}
}RIS
TY - JOUR TI - Machine Learning Assessment of Pathologic Response in Lung Cancer Resections After Neoadjuvant Therapy-IASLC MPR Project. AU - Dacic S AU - Shenker D AU - Redman M AU - Brunner L AU - Saqi A AU - Cooper WA AU - Borczuk A AU - Chung JH AU - Glass C AU - Lopez JM AU - Roden AC AU - Sholl L AU - Weissferdt A AU - Brosnan-Cashman J AU - Hennek S AU - Grullon S AU - Posadas J AU - Fujimoto J AU - Connolly C AU - Wynes MW AU - Sanchez-Espiridion B AU - Lee JJ AU - Berezowska S AU - Chou TY AU - Kerr K AU - Nicholson AG AU - Schalper KA AU - Tsao MS AU - Ready N AU - Cascone T AU - Heymach J AU - Sepesi B AU - Shu C AU - Rizvi N AU - Sonett J AU - Altorki N AU - Provencio M AU - Bunn PA Jr AU - Kris MG AU - Travis W AU - Yu L AU - Wistuba I AU - IASLC Pathology Committee PY - 2026 JO - Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer DO - 10.1016/j.jtho.2026.103953 UR - https://doi.org/10.1016/j.jtho.2026.103953 ER -
APA
S, D., D, S., M, R., L, B., A, S., WA, C., A, B., JH, C., C, G., JM, L., AC, R., L, S., A, W., J, B., S, H., S, G., J, P., J, F., C, C., MW, W., B, S., JJ, L., S, B., TY, C., K, K., AG, N., KA, S., MS, T., N, R., T, C., J, H., B, S., C, S., N, R., J, S., N, A., M, P., Jr, B. P., MG, K., W, T., L, Y., I, W., & Committee, I. P. (2026). Machine Learning Assessment of Pathologic Response in Lung Cancer Resections After Neoadjuvant Therapy-IASLC MPR Project.. Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer. https://doi.org/10.1016/j.jtho.2026.103953
Source records
- pubmed · retrieved 2026-09-26T10:10:10.213Z