Maliazurina B. Saad, PHD

Peer-Reviewed Articles

1. Muneer, A, Showkatian, E, Saad, M, Hong, L, Li, S, Salehjahromi, M, Aminu, M, Sujit, S, Xu, H, Waqas, M, Zafar, A, Shroff, G, Wu, CC, Carter, B, Chang, JY, Liao, Z, Altan, M, Vokes, N, Cascone, T, Le, X, Haymaker, CL, Wistuba, II, Chung, C, Jaffray, D, Gibbons, DL, Vaporciyan, AA, Lee, JJ, Lou, Y, Heymach, JV, Zhang, J, Wu, J. Deep learning of CT imaging predicts PD-L1 expression and immunotherapy response in metastatic NSCLC. Cancer Letters 656, 2026. e-Pub 2026. PMID: 42314966.
2. Han, X, Li, W, Lin, J, Li, S, Saad, M, Kitsel, Y, Heeke, S, Hong, L, Mohamed, MQ, Le, X, Vokes, N, Godoy, M, Carter, B, Shroff, G, Eapen, GA, Byers, LA, Vaporciyan, AA, Gibbons, DL, Heymach, JV, Wu, CC, Zhang, J, Wu, J. Development of PET/CT-clinical nomograms for predicting lymph node metastasis in primary lung cancer. European Radiology 36(5):4110-4122, 2026. e-Pub 2026. PMID: 41405691.
3. Muneer, A, Waqas, M, Saad, M, Showkatian, E, Bandyopadhyay, R, Xu, H, Li, W, Chang, JY, Liao, Z, Haymaker, CL, Solis Soto, LM, Wu, CC, Vokes, N, Le, X, Byers, LA, Gibbons, DL, Heymach, JV, Zhang, J, Wu, J. From classical machine learning to emerging foundation models. Artificial Intelligence Review 59(4), 2026. e-Pub 2026.
4. Saad, M, Al Tashi, Q, Hong, L, Verma, V, Li, W, Boiarsky, D, Li, S, Petranovic, M, Wu, CC, Carter, B, Shroff, G, Cascone, T, Le, X, Elamin, YY, Altan, M, Heeke, S, Sheshadri, A, Chang, JY, Lee, PP, Liao, Z, Gibbons, DL, Vaporciyan, AA, Lee, JJ, Wistuba, II, Haymaker, CL, Mirjalili, S, Jaffray, D, Gainor, J, Lou, Y, Di Federico, A, Pecci, F, Awad, MM, Ricciuti, B, Heymach, JV, Vokes, N, Zhang, J, Wu, J. Machine-learning driven strategies for adapting immunotherapy in metastatic NSCLC. Nature communications 16(1), 2025. e-Pub 2025. PMID: 40707438.
5. Salehjahromi, M, Li, H, Showkatian, E, Saad, M, Qayati, M, Ismail, SM, Sujit, S, Muneer, A, Aminu, M, Hong, L, Han, X, Heeke, S, Cascone, T, Le, X, Vokes, N, Gibbons, DL, Toumazis, I, Ostrin, EJ, Antonoff, MB, Vaporciyan, AA, Jaffray, D, Kay, FU, Carter, B, Wu, CC, Godoy, M, Lee, JJ, Gerber, DE, Heymach, JV, Zhang, J, Wu, J. Radiomics for Dynamic Lung Cancer Risk Prediction in USPSTF-Ineligible Patients. Cancers 17(21), 2025. e-Pub 2025. PMID: 41228201.
6. Saad, M, Showkatian, E, Verma, V, Al Tashi, Q, Aminu, M, Xu, X, Mohamed, MQ, Salehjahromi, M, Sujit, S, Kitsel, Y, Lin, SH, Liao, Z, Gandhi, S, Qian, DC, Jaffray, D, Chung, C, Vokes, N, Zhang, J, Jack Lee, J, Heymach, JV, Wu, J, Chang, JY. Causal AI-based clinical and radiomic analysis for optimizing patient selection in combined immunotherapy and SABR in early-stage NSCLC. Journal for immunotherapy of cancer 13(10), 2025. e-Pub 2025. PMID: 41052882.
7. Deboever, N, Al Tashi, Q, Eisenberg, M, Saad, M, Antonoff, MB, Hofstetter, WL, Mehran, RJ, Rice, DC, Roth, JA, Swisher, SG, Vaporciyan, AA, Walsh, GL, Wu, J, Rajaram, R. Machine Learning Prediction of Financial Toxicity in Patients with Resected Lung Cancer. Journal of the American College of Surgeons 241(2):107-116, 2025. e-Pub 2025. PMID: 40028915.
8. Boiarsky, D, Hong, L, Cooper, AJ, Ricciuti, B, Saad, M, Elkrief, A, Di Federico, A, Aminu, M, Rinsurongkawong, W, Lewis, J, Gibbons, DL, Vaporciyan, AA, Le, X, Lee, JJ, Heymach, JV, Wu, J, Awad, MM, Schoenfeld, AJ, Zhang, J, Vokes, N. Molecular profiling of metastatic lung squamous cell carcinoma (mLUSC) to identify patients with differential response to immune checkpoint inhibitor (ICI) therapy. Journal of Clinical Oncology 43:e20555-e20555, 2025. e-Pub 2025.
9. Heeke, S, Gandhi, S, Tran, HT, Lam, VK, Byers, LA, Gibbons, DL, Gay, CM, Altan, M, Antonoff, MB, Le, X, Tu, J, Saad, M, Pek, M, Poh, J, Ngeow, KC, Tsao, A, Cascone, T, Vailati Negrao, M, Wu, J, Blumenschein, GR, Heymach, JV, Elamin, YY. Longitudinal Tracking of ALK-Rearranged NSCLC From Plasma Using Circulating Tumor RNA and Circulating Tumor DNA. JTO Clinical and Research Reports 6(4), 2025. e-Pub 2025. PMID: 40160974.
10. Alahdab, F, Saad, M, Ahmed, AI, Al Tashi, Q, Aminu, M, Han, Y, Moody, JB, Murthy, VL, Wu, J, Al-Mallah, MH. Development and validation of a machine learning model to predict myocardial blood flow and clinical outcomes from patients’ electrocardiograms. Cell Reports Medicine 5(10), 2024. e-Pub 2024. PMID: 39326409.
11. Sujit SJ, Aminu M, Karpinets TV, Chen P, Saad MB, Salehjahromi M, Boom JD, Qayati M, George JM, Allen H, Antonoff MB, Hong L, Hu X, Heeke S, Tran HT, Le X, Elamin YY, Altan M, Vokes NI, Sheshadri A, Lin J, Zhang J, Lu Y, Behrens C, Godoy MCB, Wu CC, Chang JY, Chung C, Jaffray DA, Wistuba II, Lee JJ, Vaporciyan AA, Gibbons DL, Heymach J, Zhang J, Cascone T, Wu J. Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights. Nat Commun 15(1):3152, 2024. e-Pub 2024. PMID: 38605064.
12. Salehjahromi M, Karpinets TV, Sujit SJ, Qayati M, Chen P, Aminu M, Saad MB, Bandyopadhyay R, Hong L, Sheshadri A, Lin J, Antonoff MB, Sepesi B, Ostrin EJ, Toumazis I, Huang P, Cheng C, Cascone T, Vokes NI, Behrens C, Siewerdsen JH, Hazle JD, Chang JY, Zhang J, Lu Y, Godoy MCB, Chung C, Jaffray D, Wistuba I, Lee JJ, Vaporciyan AA, Gibbons DL, Gladish G, Heymach JV, Wu CC, Zhang J, Wu J. Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept. Cell Rep Med 5(3):101463, 2024. e-Pub 2024. PMID: 38471502.
13. Diao S, Chen P, Showkatian E, Bandyopadhyay R, Rojas FR, Zhu B, Hong L, Aminu M, Saad MB, Salehjahromi M, Muneer A, Sujit SJ, Behrens C, Gibbons DL, Heymach JV, Kalhor N, Wistuba II, Solis Soto LM, Zhang J, Qin W, Wu J. Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis. Cancers (Basel) 15(19), 2023. e-Pub 2023. PMID: 37835518.
14. Al-Tashi Q, Saad MB, Sheshadri A, Wu CC, Chang JY, Al-Lazikani B, Gibbons C, Vokes NI, Zhang J, Lee JJ, Heymach JV, Jaffray D, Mirjalili S, Wu J. SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers. Patterns (N Y) 4(8):100777, 2023. e-Pub 2023. PMID: 37602223.
15. Saad MB, Hong L, Aminu M, Vokes NI, Chen P, Salehjahromi M, Qin K, Sujit SJ, Lu X, Young E, Al-Tashi Q, Qureshi R, Wu CC, Carter BW, Lin SH, Lee PP, Gandhi S, Chang JY, Li R, Gensheimer MF, Wakelee HA, Neal JW, Lee HS, Cheng C, Velcheti V, Lou Y, Petranovic M, Rinsurongkawong W, Le X, Rinsurongkawong V, Spelman A, Elamin YY, Negrao MV, Skoulidis F, Gay CM, Cascone T, Antonoff MB, Sepesi B, Lewis J, Wistuba II, Hazle JD, Chung C, Jaffray D, Gibbons DL, Vaporciyan A, Lee JJ, Heymach JV, Zhang J, Wu J. Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study. Lancet Digit Health 5(7):e404-e420, 2023. e-Pub 2023. PMID: 37268451.
16. Hong L, Aminu M, Li S, Lu X, Petranovic M, Saad MB, Chen P, Qin K, Varghese S, Rinsurongkawong W, Rinsurongkawong V, Spelman A, Elamin YY, Negrao MV, Skoulidis F, Gay CM, Cascone T, Gandhi SJ, Lin SH, Lee PP, Carter BW, Wu CC, Antonoff MB, Sepesi B, Lewis J, Gibbons DL, Vaporciyan AA, Le X, Jack Lee J, Roy-Chowdhuri S, Routbort MJ, Gainor JF, Heymach JV, Lou Y, Wu J, Zhang J, Vokes NI. Efficacy and clinicogenomic correlates of response to immune checkpoint inhibitors alone or with chemotherapy in non-small cell lung cancer. Nat Commun 14(1):695, 2023. e-Pub 2023. PMID: 36755027.
17. Aminu M, Yadav D, Hong L, Young E, Edelkamp P, Saad M, Salehjahromi M, Chen P, Sujit SJ, Chen MM, Sabloff B, Gladish G, de Groot PM, Godoy MCB, Cascone T, Vokes NI, Zhang J, Brock KK, Daver N, Woodman SE, Tawbi HA, Sheshadri A, Lee JJ, Jaffray D, Team D, Wu CC, Chung C, Wu J. Habitat Imaging Biomarkers for Diagnosis and Prognosis in Cancer Patients Infected with COVID-19. Cancers (Basel) 15(1), 2022. e-Pub 2022. PMID: 36612278.
18. Saad, M, He, S, Thorstad, W, Gay, HA, Barnett, D, Zhao, Y, Ruan, S, Wang, X, Li, H. Learning-Based Cancer Treatment Outcome Prognosis Using Multimodal Biomarkers. IEEE Transactions on Radiation and Plasma Medical Sciences 6(2):231-244, 2022. e-Pub 2022.
19. Saad M, He S, Thorstad W, Gay H, Barnett D, Zhao Y, Ruan S, Wang X, Li H. Learning-based Cancer Treatment Outcome Prognosis using Multimodal Biomarkers. IEEE Trans Radiat Plasma Med Sci 6(2):231-244, 2022. e-Pub 2022. PMID: 35520102.
20. Said MB, Saad MB, Bousselmi L, Ghrabi A. Use of the catalytic complex TiO2/red cabbage anthocyanins to reduce the biofilm formation by planktonic bacteria. Environ Technol 42(25):4006-4014, 2021. e-Pub 2021. PMID: 32431213.
21. Saad M, Lee IH. Leveraging hybrid biomarkers in clinical endpoint prediction. BMC Med Inform Decis Mak 20(1):255, 2020. e-Pub 2020. PMID: 33028301.
22. Saad M, Lee IH, Choi TS. Are shape morphologies associated with survival? A potential shape-based biomarker predicting survival in lung cancer. J Cancer Res Clin Oncol 145(12):2937-2950, 2019. e-Pub 2019. PMID: 31620897.
23. Saad M, Lee IH, Choi AT. Automated delineation of non-small cell lung cancer: A step toward quantitative reasoning in medical decision science. International Journal of Imaging Systems and Technology:561-576, 2019. e-Pub 2019.
24. Yoon JS, Choi EY, Saad M, Choi TS. Automated integrated system for stained neuron detection: An end-to-end framework with a high negative predictive rate. Comput Methods Programs Biomed 180:105028, 2019. e-Pub 2019. PMID: 31437805.
25. M S, Choi TS. Computer-assisted subtyping and prognosis for non-small cell lung cancer patients with unresectable tumor. Comput Med Imaging Graph 67:1-8, 2018. e-Pub 2018. PMID: 29660595.
26. Saad M, Choi TS. Deciphering unclassified tumors of non-small-cell lung cancer through radiomics. Comput Biol Med 91:222-230, 2017. e-Pub 2017. PMID: 29100116.

Review Articles

1. Al-Tashi Q, Saad MB, Muneer A, Qureshi R, Mirjalili S, Sheshadri A, Le X, Vokes NI, Zhang J, Wu J. Machine Learning Models for the Identification of Prognostic and Predictive Cancer Biomarkers: A Systematic Review. Int J Mol Sci 24(9), 2023. e-Pub 2023. PMID: 37175487.

Abstracts

1. Aminu M, Vokes NI, Saad M, Li H, Hong L, Mohamed MSS, Boom J, Chen P, Altan M, Gandhi S. Tumor volumetric analysis to correlate disease burden with response to dual immune checkpoint blockade in metastatic NSCLC, 2023. e-Pub 2023.
2. Saad P, Rojas FR, Salehjahromi M, Aminu M, Bandyopadhyay R, Hong L, et al. Cellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma. Computational Mathematics Modeling in Cancer Analysis: First International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, 2022. e-Pub 2022.
3. Saad M, Hong L, Aminu M, Vokes NI, Chen P, Wu CC, Rinsurongkawong W, Spelman AR, al MV. Deep learning signature from chest CT and association with immunotherapy outcomes in EGFR/ALK-negative NSCLC. American Society of Clinical Oncology (ASCO), 2022. e-Pub 2022.
4. Hong, Rinsurongkawong W, Saad . Real-world effectiveness of immune checkpoint inhibitors alone or in combination with chemotherapy in metastatic non–small cell lung cancer. American Society of Clinical Oncology (ASCO), 2022. e-Pub 2022.
5. Hong L, Aminu M, Lu X, Saad M, Chen P, Rinsurongkawong W, Spelman A, et al. Genomic and clinical predictors of early disease progression and chemoimmunotherapy benefit in advanced NSCLC, 2022. e-Pub 2022.
6. Saad M, He S, Thorstad W, Gay H, Wu X, Zhao Y, Ruan S, Wang X, Li H. Leveraging Incomplete Multimodal Biomarkers for Cancer Treatment Outcome Prediction, 2020. e-Pub 2020.
7. Saad M, He S, Thorstad W, Gay H, Wu X, Zhao Y, Ruan S, Wang X, Li H. Multimodal Biomarkers for Cancer Treatment Outcome Prediction by Use of Deep Learning and Canonica, 2020. e-Pub 2020.