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International Journal of Molecular Sciences|May 13, 2023
Machine Learning Models for the Identification of Prognostic and Predictive Cancer Biomarkers: A Systematic ReviewQasem Al-Tashi, Maliazurina B Saad, Amgad Muneer, et al.Cell Reports. Medicine|September 26, 2024
Development and validation of a machine learning model to predict myocardial blood flow and clinical outcomes from patients' electrocardiogramsFares Alahdab, Maliazurina Binti Saad, Ahmed Ibrahim Ahmed, et al.Patterns (New York, N.Y.)|August 21, 2023
SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancersQasem Al-Tashi, Maliazurina B Saad, Ajay Sheshadri, et al.Journal of the American College of Surgeons|March 3, 2025
Machine Learning Prediction of Financial Toxicity in Patients with Resected Lung CancerNathaniel Deboever, Qasem Al-Tashi, Michael Eisenberg, et al.Journal for Immunotherapy of Cancer|October 6, 2025
Causal AI-based clinical and radiomic analysis for optimizing patient selection in combined immunotherapy and SABR in early-stage NSCLC: a secondary analysis of the phase II I-SABR trialMaliazurina B Saad, Eman Showkatian, Vivek Verma, et al.Nature Communications|July 24, 2025
Machine-learning driven strategies for adapting immunotherapy in metastatic NSCLCMaliazurina B Saad, Qasem Al-Tashi, Lingzhi Hong, et al.The Lancet. Digital Health|June 2, 2023
Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective studyMaliazurina B Saad, Lingzhi Hong, Muhammad Aminu, et al.Pageof 1