Machine Learning Models for the Identification of Prognostic and Predictive Cancer Biomarkers: A Systematic Review von Al-Tashi, Qasem, Saad, Maliazurina B, Muneer, Amgad, Qureshi, Rizwan, Mirjalili, Seyedali, Sheshadri, Ajay, Le, Xiuning, Vokes, Natalie I, Zhang, Jianjun, Wu, Jia

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Leveraging hybrid biomarkers in clinical endpoint prediction von Saad, Maliazurina, Lee, Ik Hyun

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Are shape morphologies associated with survival? A potential shape-based biomarker predicting survival in lung cancer von Saad, Maliazurina, Lee, Ik Hyun, Choi, Tae-Sun

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Deciphering unclassified tumors of non-small-cell lung cancer through radiomics von Saad, Maliazurina, Choi, Tae-Sun

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Automated delineation of non‐small cell lung cancer: A step toward quantitative reasoning in medical decision science von Saad, Maliazurina, Lee, Ik Hyun, Choi, Tae‐Sun

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Learning-Based Cancer Treatment Outcome Prognosis Using Multimodal Biomarkers von Saad, Maliazurina, He, Shenghua, Thorstad, Wade, Gay, Hiram, Barnett, Daniel, Zhao, Yujie, Ruan, Su, Wang, Xiaowei, Li, Hua

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Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis von Diao, Songhui, Chen, Pingjun, Showkatian, Eman, Bandyopadhyay, Rukhmini, Rojas, Frank R, Zhu, Bo, Hong, Lingzhi, Aminu, Muhammad, Saad, Maliazurina B, Salehjahromi, Morteza, Muneer, Amgad, Sujit, Sheeba J, Behrens, Carmen, Gibbons, Don L, Heymach, John V, Kalhor, Neda, Wistuba, Ignacio I, Solis Soto, Luisa M, Zhang, Jianjun, Qin, Wenjian, Wu, Jia

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SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers von Al-Tashi, Qasem, Saad, Maliazurina B., Sheshadri, Ajay, Wu, Carol C., Chang, Joe Y., Al-Lazikani, Bissan, Gibbons, Christopher, Vokes, Natalie I., Zhang, Jianjun, Lee, J. Jack, Heymach, John V., Jaffray, David, Mirjalili, Seyedali, Wu, Jia

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Habitat Imaging Biomarkers for Diagnosis and Prognosis in Cancer Patients Infected with COVID-19 von Aminu, Muhammad, Yadav, Divya, Hong, Lingzhi, Young, Elliana, Edelkamp, Jr, Paul, Saad, Maliazurina, Salehjahromi, Morteza, Chen, Pingjun, Sujit, Sheeba J, Chen, Melissa M, Sabloff, Bradley, Gladish, Gregory, de Groot, Patricia M, Godoy, Myrna C B, Cascone, Tina, Vokes, Natalie I, Zhang, Jianjun, Brock, Kristy K, Daver, Naval, Woodman, Scott E, Tawbi, Hussein A, Sheshadri, Ajay, Lee, J Jack, Jaffray, David, D Code Team, Wu, Carol C, Chung, Caroline, Wu, Jia

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Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept von Salehjahromi, Morteza, Karpinets, Tatiana V., Sujit, Sheeba J., Qayati, Mohamed, Chen, Pingjun, Aminu, Muhammad, Saad, Maliazurina B., Bandyopadhyay, Rukhmini, Hong, Lingzhi, Sheshadri, Ajay, Lin, Julie, Antonoff, Mara B., Sepesi, Boris, Ostrin, Edwin J., Toumazis, Iakovos, Huang, Peng, Cheng, Chao, Cascone, Tina, Vokes, Natalie I., Behrens, Carmen, Siewerdsen, Jeffrey H., Hazle, John D., Chang, Joe Y., Zhang, Jianhua, Lu, Yang, Godoy, Myrna C.B., Chung, Caroline, Jaffray, David, Wistuba, Ignacio, Lee, J. Jack, Vaporciyan, Ara A., Gibbons, Don L., Gladish, Gregory, Heymach, John V., Wu, Carol C., Zhang, Jianjun, Wu, Jia

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Computer-assisted subtyping and prognosis for non-small cell lung cancer patients with unresectable tumor von Saad, Maliazurina, Choi, Tae-Sun

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Deep learning signature from chest CT and association with immunotherapy outcomes in EGFR/ALK-negative NSCLC von Saad, Maliazurina B, Hong, Lingzhi, Aminu, Muhammad, Vokes, Natalie I, Chen, Pingjun, Wu, Carol C, Rinsurongkawong, Waree, Spelman, Amy R., Negrao, Marcelo Vailati, Cascone, Tina, Lin, Steven H., Lee, Percy, Sepesi, Boris, Gibbons, Don Lynn, Vaporciyan, Ara A., Lee, J. Jack, Le, Xiuning, Zhang, Jianjun, Wu, Jia, Heymach, John

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Real-world effectiveness of immune checkpoint inhibitors alone or in combination with chemotherapy in metastatic non–small cell lung cancer von Hong, Lingzhi, Rinsurongkawong, Waree, Saad, Maliazurina B, Chen, Pingjun, Aminu, Muhammad, Spelman, Amy R., Negrao, Marcelo Vailati, Cascone, Tina, Lin, Steven H., Lee, Percy, Sepesi, Boris, Lewis, Jeff, Gibbons, Don Lynn, Vaporciyan, Ara A., Lee, J. Jack, Le, Xiuning, Wu, Jia, Heymach, John, Zhang, Jianjun, Vokes, Natalie I

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Automated integrated system for stained neuron detection: An end-to-end framework with a high negative predictive rate von Yoon, Ji-Seok, Choi, Eun Young, Saad, Maliazurina, Choi, Tae-Sun

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Development and validation of a machine learning model to predict myocardial blood flow and clinical outcomes from patients’ electrocardiograms von Alahdab, Fares, Saad, Maliazurina Binti, Ahmed, Ahmed Ibrahim, Al Tashi, Qasem, Aminu, Muhammad, Han, Yushui, Moody, Jonathan B., Murthy, Venkatesh L., Wu, Jia, Al-Mallah, Mouaz H.

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Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study von Saad, Maliazurina B, Hong, Lingzhi, Aminu, Muhammad, Vokes, Natalie I, Chen, Pingjun, Salehjahromi, Morteza, Qin, Kang, Sujit, Sheeba J, Lu, Xuetao, Young, Elliana, Al-Tashi, Qasem, Qureshi, Rizwan, Wu, Carol C, Carter, Brett W, Lin, Steven H, Lee, Percy P, Gandhi, Saumil, Chang, Joe Y, Li, Ruijiang, Gensheimer, Michael F, Wakelee, Heather A, Neal, Joel W, Lee, Hyun-Sung, Cheng, Chao, Velcheti, Vamsidhar, Lou, Yanyan, Petranovic, Milena, Rinsurongkawong, Waree, Le, Xiuning, Rinsurongkawong, Vadeerat, Spelman, Amy, Elamin, Yasir Y, Negrao, Marcelo V, Skoulidis, Ferdinandos, Gay, Carl M, Cascone, Tina, Antonoff, Mara B, Sepesi, Boris, Lewis, Jeff, Wistuba, Ignacio I, Hazle, John D, Chung, Caroline, Jaffray, David, Gibbons, Don L, Vaporciyan, Ara, Lee, J Jack, Heymach, John V, Zhang, Jianjun, Wu, Jia

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Brief Report: Longitudinal tracking of ALK rearranged non-small cell lung cancer from plasma using circulating-tumor RNA and circulating-tumor DNA von Heeke, Simon, Gandhi, Saumil, Tran, Hai T., Lam, Vincent K., Byers, Lauren A., Gibbons, Don L., Gay, Carl M., Altan, Mehmet, Antonoff, Mara B., Le, Xiuning, Tu, Janet, Saad, Maliazurina B., Pek, Michelle, Poh, Jonathan, Ngew, Kao Chin, Tsao, Anne, Cascone, Tina, Negrao, Marcelo V., Wu, Jia, Blumenschein, George, Heymach, John V., Elamin, Yasir Y.

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Abstract 964: Genomic and clinical predictors of early disease progression and chemoimmunotherapy benefit in advanced NSCLC von Hong, Lingzhi, Aminu, Muhammad, Lu, Xuetao, Saad, Maliazurina B., Chen, Pingjun, Rinsurongkawong, Waree, Spelman, Amy, Elamin, Yasir Y., Negrao, Marcelo V., Skoulidis, Ferdinandos, Gay, Carl M., Cascone, Tina, Antonoff, Mara B., Sepesi, Boris, Lewis, Jeff, Gibbons, Don L., Vaporciyan, Ara A., Le, Xiuning, Lee, J.Jack, Roy-Chowdhuri, Sinchita, Routbort, Mark J., Heymach, John V., Wu, Jia, Zhang, Jianjun, Vokes, Natalie I.

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Abstract 5443: Pathomics reveals the molecular and immune evolution from lung preneoplasia to invasive adenocarcinoma von Chen, Pingjun, Rojas, Frank, Hu, Xin, Fujimoto, Junya, Serrano, Alejandra, Zhu, Bo, Hong, Lingzhi, Bandyopadhyay, Rukhmini, Aminu, Muhammad, Saad, Maliazurina B., Salehjahromi, Morteza, Sujit, Sheeba J., Kalhor, Neda, Pass, Harvey I., Moreira, Andre L., Wistuba, Ignacio I., Gibbons, Don L., Heymach, John V., Soto, Luisa M. Solis, Zhang, Jianjun, Wu, Jia

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Abstract 4393: Tumor volumetric analysis to correlate disease burden with response to dual immune checkpoint blockade in metastatic NSCLC von Aminu, Muhammad, Vokes, Natalie I., Saad, Maliazurina B., Li, Hui, Hong, Lingzhi, Mohamed, Mohamed S., Boom, John, Chen, Pingjun, Altan, Mehmet, Gandhi, Saumil, Swisher, Stephen, Antonoff, Mara B., Pozadzides, Jenny V., Jr, George Blumenschein, Gibbons, Don L., Cascone, Tina, Elamin, Yasir Y., Le, Xiuning, Negrao, Marcelo V., Skoulidis, Ferdinandos, Tsao, Anne S., Tu, Janet, Lee, J.Jack, Zhang, Jianjun, Heymach, John V., Wu, Jia

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