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Sunil Gupta
Researcher at Deakin University
Publications - 548
Citations - 10916
Sunil Gupta is an academic researcher from Deakin University. The author has contributed to research in topics: Bayesian optimization & Bayesian probability. The author has an hindex of 43, co-authored 518 publications receiving 8827 citations. Previous affiliations of Sunil Gupta include Motilal Nehru National Institute of Technology Allahabad & National Centre for Disease Control.
Papers
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Journal ArticleDOI
Mepolizumab and Exacerbations of Refractory Eosinophilic Asthma
Pranabashis Haldar,Christopher E. Brightling,Beverley Hargadon,Sunil Gupta,W Monteiro,Ana R. Sousa,Richard P. Marshall,Peter Bradding,Ruth H. Green,Andrew J. Wardlaw,Ian D. Pavord +10 more
TL;DR: The results of this study suggest that eosinophils have a role as important effector cells in the pathogenesis of severe exacerbations of asthma in this patient population.
Journal ArticleDOI
Superiority of Oxaliplatin and Fluorouracil-Leucovorin Compared With Either Therapy Alone in Patients With Progressive Colorectal Cancer After Irinotecan and Fluorouracil-Leucovorin: Interim Results of a Phase III Trial
Mace L. Rothenberg,Amit M. Oza,Robert H. Bigelow,Jordan Berlin,John L. Marshall,Ramesh K. Ramanathan,Lowell L. Hart,Sunil Gupta,Carlos A. Garay,Brent G. Burger,Nathalie Le Bail,Daniel G. Haller +11 more
TL;DR: For patients with metastatic colorectal cancer, second-line treatment with FOLFOX4 is superior to treatment with LVFU2 in terms of RR, TTP, and relief of TRS.
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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View.
Wei Luo,Dinh Phung,Truyen Tran,Sunil Gupta,Santu Rana,Chandan Karmakar,Alistair Shilton,John Yearwood,Nevenka Dimitrova,Tu Bao Ho,Svetha Venkatesh,Michael Berk +11 more
TL;DR: A set of guidelines was generated to enable correct application of machine learning models and consistent reporting of model specifications and results in biomedical research and it is believed that such guidelines will accelerate the adoption of big data analysis, particularly with machine learning methods, in the biomedical research community.
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Qualitative analysis of high-resolution CT scans in severe asthma.
Sunil Gupta,Salman Siddiqui,Pranab Haldar,J. Vimal Raj,James Entwisle,Andrew J. Wardlaw,Peter Bradding,Ian D. Pavord,Ruth H. Green,Christopher E. Brightling +9 more
TL;DR: Nonradiologic assessments fail to reliably predict important bronchial wall changes; therefore, CT scan acquisition may be required in all patients with severe asthma.
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Elevated sputum interleukin-5 and submucosal eosinophilia in obese individuals with severe asthma.
Dhananjay Desai,Chris Newby,F A Symon,Pranabashis Haldar,Sachil Shah,Sunil Gupta,Mona Bafadhel,Amisha Singapuri,Salman Siddiqui,Joanne Woods,Athula Herath,I.K. Anderson,Peter Bradding,Ruth H. Green,Nita Kulkarni,Ian D. Pavord,Richard P. Marshall,Ana R. Sousa,Richard D. May,Andrew J. Wardlaw,Christopher E. Brightling +20 more
TL;DR: Whether specific antieosinophilic therapy is beneficial, or improved diet and lifestyle in obese asthma has antiinflammatory effects beyond weight reduction, requires further study.