Using machine learning (ML) and explainable artificial intelligence (AI) to accurately predict immune-checkpoint inhibitor (ICI) response in small cell (SCLC) and non-small cell (NSCLC) lung cancer patients

L. Sharma; V. Balaji; A. Katumba; E. Mohan; I. Mporas; D. Alrifai; J. Chow; T. Sevitt; K. Nathan; R. Shah; J.S.C. Waters; S. Adeleke

doi:10.1016/j.esmoop.2025.104157

Using machine learning (ML) and explainable artificial intelligence (AI) to accurately predict immune-checkpoint inhibitor (ICI) response in small cell (SCLC) and non-small cell (NSCLC) lung cancer patients

L. Sharma
, V. Balaji
, A. Katumba
, E. Mohan
, I. Mporas
, D. Alrifai
, J. Chow
, T. Sevitt
, K. Nathan
, R. Shah
, J.S.C. Waters
, S. Adeleke

Research output: Contribution to journal › Meeting abstract › peer-review

16 Downloads (Pure)

Original language	English
Article number	104157-2P
Number of pages	1
Journal	ESMO Open
Volume	10
Issue number	Supplement 2
DOIs	https://doi.org/10.1016/j.esmoop.2025.104157
Publication status	E-pub ahead of print - 5 Mar 2025

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© 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the Creative Commons Attribution Non-Commercial No-Derivatives CC BY-NC-ND licence, https://creativecommons.org/licenses/by-nc-nd/4.0/
Final published version, 132 KBLicence: CC BY-NC-ND

Cite this

Sharma, L., Balaji, V., Katumba, A., Mohan, E., Mporas, I., Alrifai, D., Chow, J., Sevitt, T., Nathan, K., Shah, R., Waters, J. S. C., & Adeleke, S. (2025). Using machine learning (ML) and explainable artificial intelligence (AI) to accurately predict immune-checkpoint inhibitor (ICI) response in small cell (SCLC) and non-small cell (NSCLC) lung cancer patients. ESMO Open, 10(Supplement 2), Article 104157-2P. Advance online publication. https://doi.org/10.1016/j.esmoop.2025.104157

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author = "L. Sharma and V. Balaji and A. Katumba and E. Mohan and I. Mporas and D. Alrifai and J. Chow and T. Sevitt and K. Nathan and R. Shah and J.S.C. Waters and S. Adeleke",

note = "{\textcopyright} 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the Creative Commons Attribution Non-Commercial No-Derivatives CC BY-NC-ND licence, https://creativecommons.org/licenses/by-nc-nd/4.0/ ",

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Sharma, L, Balaji, V, Katumba, A, Mohan, E, Mporas, I, Alrifai, D, Chow, J, Sevitt, T, Nathan, K, Shah, R, Waters, JSC & Adeleke, S 2025, 'Using machine learning (ML) and explainable artificial intelligence (AI) to accurately predict immune-checkpoint inhibitor (ICI) response in small cell (SCLC) and non-small cell (NSCLC) lung cancer patients', ESMO Open, vol. 10, no. Supplement 2, 104157-2P. https://doi.org/10.1016/j.esmoop.2025.104157

Using machine learning (ML) and explainable artificial intelligence (AI) to accurately predict immune-checkpoint inhibitor (ICI) response in small cell (SCLC) and non-small cell (NSCLC) lung cancer patients. / Sharma, L.; Balaji, V.; Katumba, A. et al.
In: ESMO Open, Vol. 10, No. Supplement 2, 104157-2P, 05.03.2025.

Research output: Contribution to journal › Meeting abstract › peer-review

TY - JOUR

T1 - Using machine learning (ML) and explainable artificial intelligence (AI) to accurately predict immune-checkpoint inhibitor (ICI) response in small cell (SCLC) and non-small cell (NSCLC) lung cancer patients

AU - Sharma, L.

AU - Balaji, V.

AU - Katumba, A.

AU - Mohan, E.

AU - Mporas, I.

AU - Alrifai, D.

AU - Chow, J.

AU - Sevitt, T.

AU - Nathan, K.

AU - Shah, R.

AU - Waters, J.S.C.

AU - Adeleke, S.

N1 - © 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the Creative Commons Attribution Non-Commercial No-Derivatives CC BY-NC-ND licence, https://creativecommons.org/licenses/by-nc-nd/4.0/

PY - 2025/3/5

Y1 - 2025/3/5

U2 - 10.1016/j.esmoop.2025.104157

DO - 10.1016/j.esmoop.2025.104157

M3 - Meeting abstract

SN - 2059-7029

VL - 10

JO - ESMO Open

JF - ESMO Open

IS - Supplement 2

M1 - 104157-2P

ER -

Sharma L, Balaji V, Katumba A, Mohan E, Mporas I, Alrifai D et al. Using machine learning (ML) and explainable artificial intelligence (AI) to accurately predict immune-checkpoint inhibitor (ICI) response in small cell (SCLC) and non-small cell (NSCLC) lung cancer patients. ESMO Open. 2025 Mar 5;10(Supplement 2):104157-2P. Epub 2025 Mar 5. doi: 10.1016/j.esmoop.2025.104157