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Muhammad Aminu

Showing results (21-30 of 27) with videos related to

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Cancer Letters|June 18, 2026
Deep Learning of CT Imaging Predicts PD-L1 Expression and Immunotherapy Response in Metastatic NSCLC: A Multi-Center StudyAmgad Muneer, Eman Showkatian, Maliazurina B Saad, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|January 25, 2026
Spatial Profiling Reveals Distinct Molecular and Immune Evolution of Mouse Lung Adenocarcinoma Precancers with or Without Carcinogen ExposureBo Zhu, Muhammad Aminu, Pingjun Chen, et al.
Nature Communications|February 8, 2023
Efficacy and clinicogenomic correlates of response to immune checkpoint inhibitors alone or with chemotherapy in non-small cell lung cancerLingzhi Hong, Muhammad Aminu, Shenduo Li, et al.
Cell Reports. Medicine|March 12, 2024
Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of conceptMorteza Salehjahromi, Tatiana V Karpinets, Sheeba J Sujit, et al.
Nature Communications|April 11, 2024
Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insightsSheeba J Sujit, Muhammad Aminu, Tatiana V Karpinets, et al.
Cancer Cell|May 9, 2025
Spatial and multiomics analysis of human and mouse lung adenocarcinoma precursors reveals TIM-3 as a putative target for precancer interceptionBo Zhu, Pingjun Chen, Muhammad Aminu, 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 3

Showing results (21-30 of 27) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 27 results.
Cancer Letters|June 18, 2026
Deep Learning of CT Imaging Predicts PD-L1 Expression and Immunotherapy Response in Metastatic NSCLC: A Multi-Center StudyAmgad Muneer, Eman Showkatian, Maliazurina B Saad, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|January 25, 2026
Spatial Profiling Reveals Distinct Molecular and Immune Evolution of Mouse Lung Adenocarcinoma Precancers with or Without Carcinogen ExposureBo Zhu, Muhammad Aminu, Pingjun Chen, et al.
Nature Communications|February 8, 2023
Efficacy and clinicogenomic correlates of response to immune checkpoint inhibitors alone or with chemotherapy in non-small cell lung cancerLingzhi Hong, Muhammad Aminu, Shenduo Li, et al.
Cell Reports. Medicine|March 12, 2024
Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of conceptMorteza Salehjahromi, Tatiana V Karpinets, Sheeba J Sujit, et al.
Nature Communications|April 11, 2024
Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insightsSheeba J Sujit, Muhammad Aminu, Tatiana V Karpinets, et al.
Cancer Cell|May 9, 2025
Spatial and multiomics analysis of human and mouse lung adenocarcinoma precursors reveals TIM-3 as a putative target for precancer interceptionBo Zhu, Pingjun Chen, Muhammad Aminu, 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 3