Search Results - "Berkel, Victor"

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  1. 1

    Prediction of lung cancer patient survival via supervised machine learning classification techniques by Lynch, Chip M., Abdollahi, Behnaz, Fuqua, Joshua D., de Carlo, Alexandra R., Bartholomai, James A., Balgemann, Rayeanne N., van Berkel, Victor H., Frieboes, Hermann B.

    “…•Compared supervised machine learning algorithms to determine predictive correlation.•The models perform well with low to moderate lung cancer patient survival…”
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    Application of unsupervised analysis techniques to lung cancer patient data by Lynch, Chip M, van Berkel, Victor H, Frieboes, Hermann B

    Published in PloS one (14-09-2017)
    “…This study applies unsupervised machine learning techniques for classification and clustering to a collection of descriptive variables from 10,442 lung cancer…”
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  3. 3

    The dangers of oversimplification – quality metrics and lung transplantation by Berkel, Victor

    Published in American journal of transplantation (01-01-2018)
    “…This editorial provides words of caution regarding Maldonado et al's (page 226) proposed quality metric for lung transplantation…”
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    Intraoperative Esophagogastroduodenoscopy During Heller Myotomy: Evaluating Guidelines by Bruenderman, Elizabeth H., Bhutiani, Neal, Martin, Robert C. G., Fox, Matthew P., van Berkel, Victor H., Block, Stacy B., Kehdy, Farid J.

    Published in World journal of surgery (01-03-2021)
    “…Background National guidelines suggest routine intraoperative esophagogastroduodenoscopy (EGD) during laparoscopic Heller myotomy (LHM) to assess for mucosal…”
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    Evaluation of disease staging and chemotherapeutic response in non-small cell lung cancer from patient tumor-derived metabolomic data by Miller, Hunter A., Yin, Xinmin, Smith, Susan A., Hu, Xiaoling, Zhang, Xiang, Yan, Jun, Miller, Donald M., van Berkel, Victor H., Frieboes, Hermann B.

    Published in Lung cancer (Amsterdam, Netherlands) (01-06-2021)
    “…•Designs workflow for personalized prediction of response to first-line chemotherapy.•Performs systematic metabolomic analysis of lung cancer fresh tumor core…”
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    Lung cancer survival prediction and biomarker identification with an ensemble machine learning analysis of tumor core biopsy metabolomic data by Miller, Hunter A., van Berkel, Victor H., Frieboes, Hermann B.

    Published in Metabolomics (20-07-2022)
    “…Introduction While prediction of short versus long term survival from lung cancer is clinically relevant in the context of patient management and therapy…”
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  10. 10

    Evaluation of Lung Cancer Patient Response to First-Line Chemotherapy by Integration of Tumor Core Biopsy Metabolomics with Multiscale Modeling by Miller, Hunter A., Miller, Donald M., van Berkel, Victor H., Frieboes, Hermann B.

    Published in Annals of biomedical engineering (01-04-2023)
    “…The standard of care for intermediate (Stage II) and advanced (Stages III and IV) non-small cell lung cancer (NSCLC) involves chemotherapy with taxane/platinum…”
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    Optimal Surgical Timing After Neoadjuvant Therapy for Stage IIIa Non-Small Cell Lung Cancer by Rice, Jonathan D., Heidel, Justin, Trivedi, Jaimin R., van Berkel, Victor H.

    Published in The Annals of thoracic surgery (01-03-2020)
    “…Patients with clinically/pathologically diagnosed stage IIIa non-small cell lung cancer (NSCLC) considered for surgery are recommended to undergo neoadjuvant…”
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    Objective Donor Scoring System for Lung Transplantation by Whited, William M., Trivedi, Jaimin R., van Berkel, Victor H., Fox, Matthew P.

    Published in The Annals of thoracic surgery (01-02-2019)
    “…There is no objective method to estimate post–lung transplant survival solely on the basis of cumulative donor risk factors. The United Network Organ Sharing…”
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  14. 14

    Pharmacokinetic/pharmacodynamic modeling of combination-chemotherapy for lung cancer by Curtis, Louis T., van Berkel, Victor H., Frieboes, Hermann B.

    Published in Journal of theoretical biology (07-07-2018)
    “…•Establishes a framework for evaluation of tumor response to combination chemotherapy.•Couples PK–PD multi-compartment models with a model of vascularized…”
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    A novel technology to integrate imaging and clinical markers for non-invasive diagnosis of lung cancer by Shaffie, Ahmed, Soliman, Ahmed, Fu, Xiao-An, Nantz, Michael, Giridharan, Guruprasad, van Berkel, Victor, Khalifeh, Hadil Abu, Ghazal, Mohammed, Elmaghraby, Adel, El-baz, Ayman

    Published in Scientific reports (25-02-2021)
    “…This study presents a non-invasive, automated, clinical diagnostic system for early diagnosis of lung cancer that integrates imaging data from a single…”
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    A Generalized Deep Learning-Based Diagnostic System for Early Diagnosis of Various Types of Pulmonary Nodules by Shaffie, Ahmed, Soliman, Ahmed, Fraiwan, Luay, Ghazal, Mohammed, Taher, Fatma, Dunlap, Neal, Wang, Brian, van Berkel, Victor, Keynton, Robert, Elmaghraby, Adel, El-Baz, Ayman

    Published in Technology in cancer research & treatment (01-01-2018)
    “…A novel framework for the classification of lung nodules using computed tomography scans is proposed in this article. To get an accurate diagnosis of the…”
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    Lung cancer metabolomic data from tumor core biopsies enables risk-score calculation for progression-free and overall survival by Miller, Hunter A., Rai, Shesh N., Yin, Xinmin, Zhang, Xiang, Chesney, Jason A., van Berkel, Victor H., Frieboes, Hermann B.

    Published in Metabolomics (14-05-2022)
    “…Introduction Metabolomics has emerged as a powerful method to provide insight into cancer progression, including separating patients into low- and high-risk…”
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    Ambulatory Extracorporeal Membrane Oxygenation Use in Patients Listed for Lung Transplant by Trivedi, Jaimin R, Endo, Toyokazu, Sharma, Anya, Fox, Matthew P, Slaughter, Mark S, van Berkel, Victor H

    Published in ASAIO journal (1992) (01-07-2024)
    “…There has been an increase in the use of extracorporeal membrane oxygenation (ECMO) to bridge critically ill patients to lung transplant (LTX). This study…”
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    Disease diagnosis and severity classification in pulmonary fibrosis using carbonyl volatile organic compounds in exhaled breath by Taylor, Matthew J., Chitwood, Corey P., Xie, Zhenzhen, Miller, Hunter A., van Berkel, Victor H., Fu, Xiao-An, Frieboes, Hermann B., Suliman, Sally A.

    Published in Respiratory medicine (01-02-2024)
    “…Pathophysiological conditions underlying pulmonary fibrosis remain poorly understood. Exhaled breath volatile organic compounds (VOCs) have shown promise for…”
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