Maliazurina B. Saad, PHD
Department of Imaging Physics, Division of Diagnostic Imaging
Present Title & Affiliation
Primary Appointment
Instructor, Department of Imaging Physics - Research, Division of Diagnostic Imaging, The University of Texas at MD Anderson Cancer Center, Houston, Texas
Dual/Joint/Adjunct Appointment
Instructor, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
Research Interests
A highly skilled Machine Learning Scientist with a PhD in Mechatronics Engineering and over 9 years of experience in developing predictive models and advanced algorithms. Proven track record in utilizing artificial intelligence techniques to solve complex healthcare related problems, which continues to be in the national interest. Passionate about leveraging machine learning to drive data-driven decision making and innovation. Seeking to bring my expertise in machine learning and data analysis to a forward-thinking team.
Education & Training
Degree-Granting Education
| 2020 | University Of Illinois at Urbana-Champaign, Champaign, Illinois, US, Multimodal Biomarkers for Oropharyngeal Cancer, Postdoctoral Fellow |
| 2019 | Tech University of Korea, Gyeonggi-do, Translational Imaging in Lung Cancer, Postdoctoral Fellow |
| 2018 | Gwangju Institute of Science And Technology, Gwangju, Mechatronics Engineering, Ph.D |
| 2014 | Gwangju Institute of Science And Technology, Gwangju, Mechatronics Engineering, M.S |
| 2008 | University Putra Malaysia, Selangor, MY, Computer And Communication System Engineering, BS |
Postgraduate Training
| 2020-2024 | Postdoctoral Fellow, CT Imaging Biomarkers for Immunotherapy in Metastatic NSCLC, University of Texas at MD Anderson Cancer Center, Houston, Texas |
| 2019-2020 | Postdoctoral Fellow, Multimodal Biomarkers for Oropharyngeal Cancer, University Of Illinois, Champaign, Illinois |
| 2018-2019 | Postdoctoral Fellow, Translational Imaging in Lung Cancer, Tech University Of Korea, Gyeonggi-do |
Experience & Service
Academic Appointments
Postdoctoral Fellow, Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 2021 - 2024
Postdoctoral Fellow, University of Illinois at Urbana-Champaign,, Champaign, IL, 2019 - 2020
Postdoctoral Fellow, Tech University of Korea, Gwangju, 2018 - 2019
Graduate Student Researcher, Gwangju Institute Of Science And Technology, Bukgu, 2012 - 2018
Test Engineer, Nokia Networks, Kuala Lumpur, 2011 - 2012
Test Engineer, Motorola Solutions, Cyberjaya, 2008 - 2010
Engineer Trainee, Significant Technologies Sdn, Selangor, 2007 - 2008
Honors & Awards
| Malaysia Innovator Award, Agilent Technology | |
| Faculty of Engineering's Dean List Student, University Putra Malaysia | |
| Pat on the back’ award, Motorola Solution Employee Appreciation Month | |
| Korean Government Scholarship Program, MSc Korea | |
| PhD, Korea, Korean Government Scholarship Program |
Selected Publications
Peer-Reviewed Articles
- 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. PMID: 39326409.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Essid J, Mokline A, Fraj H, Aloui A, Mayoufi H, Eljemi I, MB S, Messadi AA. [Not Available]. Ann Burns Fire Disasters 35(3):194-198, 2022. PMID: 37016599.
- 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. PMID: None.
- 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 2021. PMID: 35520102.
- 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 2020. PMID: 32431213.
- 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.
- Osipov A, Lim SJ, Popovic A, Azad NS, Laheru DA, Zheng L, Jaffee EM, Wang H, Yarchoan M. Tumor Mutational Burden, Toxicity, and Response of Immune Checkpoint Inhibitors Targeting PD(L)1, CTLA-4, and Combination: A Meta-regression Analysis. Clin Cancer Res 26(18):4842-4851, 2020. e-Pub 2020. PMID: 32586938.
- 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. PMID: None.
- 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.
- 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.
- 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.
- Saad M, Choi TS. Deciphering unclassified tumors of non-small-cell lung cancer through radiomics. Comput Biol Med 91:222-230, 2017. PMID: 29100116.
- Chalouati H, Gamet-Payrastre L, Saad MB. Irreversible thyroid disruption induced after subchronic exposure to hexachlorobenzene in male rats. Toxicol Ind Health 32(5):822-31, 2016. e-Pub 2013. PMID: 24311623.
- Ksia A, Yengui H, Saad MB, Sahnoun L, Maazoun K, Rachida L, Krichene I, Mekki M, Belguith M, Nouri A. Soave transanal one-stage endorectal pull-through in the treatment of Hirschsprung's disease of the child above two-year-old: a report of 20 cases. Afr J Paediatr Surg 10(4):362-6, 2013. PMID: 24469488.
Other Articles
- Zaidi B, Gazzah W, Saad MB, Sindi S, Maraach W, Mensi Z Spontaneous rectus sheath hematoma revealed by abdominal pain during pregnancy: A case report. Int J Surg Case Rep 118:109695, 2024. PMID: 38669810.
- 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. PMID: 37175487.
- Saad MB, Eymann A, Granados N, Rotblat G, Dawson S, Cibeira A, Paz MC [Treatment of eating disorders in adolescents: case series]. Arch Argent Pediatr 119(4):e364-e369, 2021. PMID: 34309320.
Abstracts
- 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. None, 2023. PMID: None.
- 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. PMID: None.
- Hong, Rinsurongkawong W, Saad
- 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. PMID: None.
- 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. None, 2022. PMID: None.
- 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. None, 2020. PMID: None.
- 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. None, 2020. PMID: None.
Grant & Contract Support
| Title: | Personalized Cardio-Oncology through Blood and Digital Biomarker Monitoring of Cardiovascular Risk in Thoracic Radiotherapy |
| Funding Source: | SponsorNIH/NCI-sub through Massachusetts General Hospital |
| Role: | PI |
Patient Reviews
CV information above last modified January 28, 2025