Pranjal Vaidya

Employment

• AbbVie Biotherapeutics Sr. Scientist II
  2022 - Present
• Siemens Corp Corporate Research
  2021 - 2021

Education

• Case Western Reserve University Ph.D.
  2018 - Present
• Case Western Reserve University Case School of Engineering MS
  2016 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Estimating the Concrete Compressive Strength of Regression Model for Machine Learning
  2025 DOI: 10.1007/978-3-031-70906-7_17
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• Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study
  IEEE Journal of Biomedical and Health Informatics 2021 DOI: 10.1109/JBHI.2021.3103389
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• MA03.04 A Gender-Specific Radiomics Models for Predicting Recurrence in Early Stage (Stage I, II) Non-Small Cell Lung Cancer (ES-NSCLC) Patients
  Journal of Thoracic Oncology 2021 DOI: 10.1016/j.jtho.2021.01.216
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• An End-to-End Integrated Clinical and CT Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multi-Site Retrospective Study
  2021 DOI: 10.2139/ssrn.3878078
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• Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade
  Journal for ImmunoTherapy of Cancer 2020 DOI: 10.1136/jitc-2020-001343
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• Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study
  Lung Cancer 2020 DOI: 10.1016/j.lungcan.2020.02.018
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• 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 multicohort study for outcome prediction
  The Lancet Digital Health 2020 DOI: 10.1016/s2589-7500(20)30002-9
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• Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival
  Medical Imaging 2019: Computer-Aided Diagnosis 2019 DOI: 10.1117/12.2513648
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• Correlation of radiomic features with PD-L1 expression in early stage non-small cell lung cancer (ES-NSCLC) to predict recurrence and overall survival (OS).
  Journal of Clinical Oncology 2018 DOI: 10.1200/jco.2018.36.15_suppl.e24247
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• RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer
  Medical Imaging 2018: Digital Pathology 2018 DOI: 10.1117/12.2296646
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