Search Results - "Kao, G.D"

Prospective Trial of Circulating Tumor Cells as a Biomarker for Early Detection of Recurrence in Patients with Locally Advanced Non–Small Cell Lung Cancer Treated with Chemoradiation Therapy by Chinniah, C, Aguarin, L, Cheng, P, DeCesaris, C, Cutillo, A, Berman, A.T, Frick, M, Levin, W.P, Cengel, K.A, Hahn, S.M, Dorsey, J.F, Kao, G.D, Simone, C.B

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A Telomerase-based Assay Tracks Changes in Circulating Tumor Cells in Patients Undergoing Radiation Therapy by MacArthur, K, Dorsey, J.F, Chapman, C.H, Hahn, S.M, Kao, G.D

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A Circulating Tumor Cell Assay for Tracking Treatment Response in Glioma by Ju, M, Kao, G.D, Steinmetz, D, Patsch, D, Alonso-Basanta, M, Hahn, S, Lustig, R.A, Dorsey, J.F

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A Novel ‘Theranostic’ Approach? Polymer-coated Gold Nanoparticles Show Durable Systemic Circulation, Are Readily Imaged, and Radiosensitize Human Cancer Cells and Tumors by Joh, D, Kao, G.D, Al Zaki, A, Murty, S, Tsourkas, A, Dorsey, J.F

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An Integrated Method for Reproducible, Accurate Image-guided Stereotactic Cranial Irradiation of Brain Tumors Using the Small Animal Radiation Research Platform (SARRP) by Baumann, B, Kao, G.D, Benci, J.L, Santoiemma, P.P, Chandrasekaran, S, Dorsey, J.F

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A Novel Circulating Tumor Cell Assay for Non-Small Cell Lung Cancer Patients Undergoing Radiation Therapy by Gilbride, L, Dorsey, J.F, Chandrasekaran, S, MacArthur, K.M, Chapman, C.H, Concepcion, J.R, Kao, G.D, Hahn, S.M

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Detection of Circulating Tumor Cells of Nonepithelial Origin: A Bench to Bedside Approach by Chandrasekaran, S, Gandhi, N, Steinmetz, D, Williams, R, Lustig, R.A, Alonso-Basanta, M, Tran, P.T, Kao, G.D, Dorsey, J.F, Hahn, S.M

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‘Breaking through the Tumor BBB’: Enhancing the Efficacy of Nanobiopolymer Therapeutics against Intracranial Tumors with Targeted Radiation Therapy by Baumann, B.C, Dorsey, J.F, Xu, X, Harada, T, Chapman, C, Benci, J, Jaiswal, S, Mahmud, A, Discher, D.E, Kao, G.D

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TRAIL Enhances Anticancer Effects of Radiation and Temozolomide in an Imaging-based Zebrafish Glioblastoma Xenograft Model by Geiger, G.A, Fu, W, Kao, G.D

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Multiparametric Processing of Serial MRI during Radiation Therapy of Brain Tumors: ‘Finishing with FLAIR?’ by Baumann, B.C, Teo, B.K, Pohl, K, Ou, Y, Doshi, J, Alonso-Basanta, M, Christodouleas, J, Davatzikos, C, Kao, G.D, Dorsey, J.F

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Inhibition of PI3K/Akt Signaling Impairs DNA Repair in Glioblastoma Cells Following Ionizing Radiation by Maity, A, Jiang, Z, Fernandes, A, Gupta, A.K, Kao, G.D

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Timing and Disclosure of Complementary and Alternative Medical Practices (CAM) in Patients Receiving Radiation Therapy by Dutta, P.R, Yee, S.S, Solin, L.J, Kao, G.D, Vapiwala, N

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Compliance With National Vaccination Guidelines in Patients Receiving Radiation Therapy by Yee, S.S, Dutta, P.R, Solin, L.J, Vapiwala, N, Kao, G.D

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HDAC Inhibitors as a Novel Approach to Modulate the Cancer Stem Cell Phenotype by Shabason, J, Dowling, M.L, Maquilan, G, Malkowicz, S.B, Geiger, G.A, Kao, G.D

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Valproic Acid as an Established Histone Deacetylase Inhibitor for Radiosensitizing Androgen-independent Prostate Cancer Cells by Rajendran, R.R, Dowling, M.L, Chandrasekaran, S, Cengel, K.A, Vapiwala, N, Kao, G.D

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Phase I Trial Utilizing Motexafin Lutetium Mediated PDT for Recurrent Prostate Cancer by Du, K.L, Patel, H, Mick, R, Zhu, T.C, Finlay, J.C, Kao, G.D, Malkowicz, S.B, Busch, T.M, Hahn, S.M, Cengel, K.A

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QS16. Effects of HDAC Inhibitor LBH589 in 36 Different Lung Cancer Cell Lines by Crisanti, Maria C, Wallace, A.S, Coleman, K, Kapoor, V, Dowling, M, Kao, G.D, Albelda, S.A

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Bridging Prediction and Causality: Deciphering Clinical Outcomes in Locally Advanced Non-Small Cell Lung Cancer Treated with Chemoradiation via Multitask Machine Learning and Causal Inference of Proton vs. Photon Radiotherapy Choices by Lee, S.H., Yegya-Raman, N., Friedes, C., Iocolano, M., Caruana, R., Bradley, J.D., Kao, G.D., Feigenberg, S.J., Xiao, Y.

“…This study aims to improve the identification of dose-volume constraints (DVCs) and the predictability of clinical outcomes (COs) by using advanced multitask…”
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Interpretable Machine Learning Models for Severe Esophagitis Prediction in LA-NSCLC Patients Treated with Chemoradiation Therapy by Wang, D., Lee, S.H., Yegya-Raman, N., Feigenberg, S.J., Kao, G.D., Largent, A.L., Friedes, C., Iocolano, M., McBeth, R., Duan, L., Li, B., Fan, Y., Xiao, Y.

“…Radiation esophagitis is a common adverse event that may occur during chemoradiotherapy (CRT) that can adversely affect survival. This study aimed to develop…”
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Multitask AI Models for the Joint Prediction of Overall Survival, Progression-Free Survival, and Death without Progression as a Composite Endpoint for LA-NSCLC Patients Treated with Chemoradiotherapy by Lee, S.H., Yegya-Raman, N., Duan, L., Li, B., Friedes, C., Iocolano, M., Caruana, R., Apte, A., Deasy, J.O., Fan, Y., Kao, G.D., Feigenberg, S.J., Xiao, Y.

“…Prior methods model the risk of endpoints separately. Herein, we construct a composite AI model that considers multiple endpoints jointly, including overall…”
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