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Reviews on Recent Clinical Trials

Editor-in-Chief

ISSN (Print): 1574-8871
ISSN (Online): 1876-1038

Biography

Meet Our Regional Editor

Author(s): Pingfu Fu

Volume 16, Issue 1, 2021

Published on: 15 February, 2021

Page: [1 - 1] Pages: 1

DOI: 10.2174/157488711601210215140514

Open Access Journals Promotions 2
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[1]
Chiu M, Lipka MB, Bhateja P, Fu P, Dowlati A. A detailed smoking history and determination of MYC status predict response to checkpoint inhibitors in advanced non-small cell lung cancer. Transl Lung Cancer Res 2020; 9(1): 55-60. PubMed PubMed Central PMC7082292
[PMID: 32206553]
[2]
Bhargava, HK, Leo, P, Elliott, R, Janowczyk, A, Whitney, J, Gupta, S, Fu, P, Yamoah, K, Khani, F, Robinson, BD, Rebbeck, TR, Feldman, M, Lal, P, Madabhushi, A Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients Clin Cancer Res. PubMed 2020.
[PMID: 32139401. ]
[3]
Vaidya P, Bera K, Gupta A, et al. CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in Stage I, II resectable Non-Small Cell Lung Cancer: a retrospective multi-cohort study for outcome prediction. Lancet Digit Health 2020; 2(3): e116-28. PubMed PubMed Central PMC7051021
[PMID: 32123864]
[4]
Shukla S, Srivastava JK, Shankar E, et al. Oxidative Stress and Antioxidant Status in High-Risk Prostate Cancer Subjects. Diagnostics (Basel) 2020; 10(3) PubMed
[PMID: 32120827]
[5]
Khorrami M, Bera K, Leo P, et al. Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study. Lung Cancer 2020; 142: 90-7. PubMed
[PMID: 32120229]
[6]
Khorrami M, Khunger M, Zagouras A, et al. Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma. Radiol Artif Intell 2019; 1(2)e180012 PubMed PubMed Central PMC6515986
[PMID: 32076657]
[7]
Zeng G, Chen Z, Fu P. Temporal Pattern of Co-Development of Internalizing and Externalizing Problem Behaviors: An Application of Bivariate Mixed-Effects Models. Rev Recent Clin Trials 2020; 15(1): 60-9. PubMed
[PMID: 31746303]
[8]
Khorrami M, Prasanna P, Gupta A, et al. Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non-Small Cell Lung Cancer. Cancer Immunol Res 2020; 8(1): 108-19. PubMed
[PMID: 31719058]
[9]
Khorrami M, Jain P, Bera K, et al. Corrigendum to “Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features”. [Lung Cancer 135 (September) (2019) 1-9] Lung Cancer 2019; 136 : 156. PubMed
[PMID: 31564290]
[10]
Khorrami M, Jain P, Bera K, et al. Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features. Lung Cancer 2019; 135: 1-9. PubMed PubMed Central PMC6711393.
[PMID: 31446979]

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