Resultats de la cerca - Francesca M Buffa

Robustness and reproducibility for AI learning in biomedical sciences: RENOIR per Alessandro Barberis, Hugo J. W. L. Aerts, Francesca M. Buffa

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Antitumour effect of the mitochondrial complex III inhibitor Atovaquone in combination with anti-PD-L1 therapy in mouse cancer models per Gonzalo Rodriguez-Berriguete, Rathi Puliyadi, Nicole Machado, Alessandro Barberis, Remko Prevo, Martin McLaughlin, Francesca M. Buffa, Kevin J. Harrington, Geoff S. Higgins

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A machine learning and directed network optimization approach to uncover TP53 regulatory patterns per Charalampos P. Triantafyllidis, Alessandro Barberis, Fiona Hartley, Ana Miar Cuervo, Enio Gjerga, Philip Charlton, Linda van Bijsterveldt, Julio Saez Rodriguez, Francesca M. Buffa

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Metabolic symbiosis between oxygenated and hypoxic tumour cells: An agent-based modelling study. per Pahala Gedara Jayathilake, Pedro Victori, Clara E Pavillet, Chang Heon Lee, Dimitrios Voukantsis, Ana Miar, Anjali Arora, Adrian L Harris, Karl J Morten, Francesca M Buffa

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New role of fat-free mass in cancer risk linked with genetic predisposition per Benjamin H. L. Harris, Matteo Di Giovannantonio, Ping Zhang, David A. Harris, Simon R. Lord, Naomi E. Allen, Tim S. Maughan, Richard J. Bryant, Adrian L. Harris, Gareth L. Bond, Francesca M. Buffa

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Defining hypoxia in cancer: A landmark evaluation of hypoxia gene expression signatures per Matteo Di Giovannantonio, Fiona Hartley, Badran Elshenawy, Alessandro Barberis, Dan Hudson, Hana S. Shafique, Vincent E.S. Allott, David A. Harris, Simon R. Lord, Syed Haider, Adrian L. Harris, Francesca M. Buffa, Benjamin H.L. Harris

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Liver glycogen phosphorylase is upregulated in glioblastoma and provides a metabolic vulnerability to high dose radiation per Christos E. Zois, Anne M. Hendriks, Syed Haider, Elisabete Pires, Esther Bridges, Dimitra Kalamida, Dimitrios Voukantsis, B. Christoffer Lagerholm, Rudolf S. N. Fehrmann, Wilfred F. A. den Dunnen, Andrei I. Tarasov, Otto Baba, John Morris, Francesca M. Buffa, James S. O. McCullagh, Mathilde Jalving, Adrian L. Harris

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Identification and validation of a machine learning model of complete response to radiation in rectal cancer reveals immune infiltrate and TGFβ as key predictorsResearch in context per Enric Domingo, Sanjay Rathee, Andrew Blake, Leslie Samuel, Graeme Murray, David Sebag-Montefiore, Simon Gollins, Nicholas West, Rubina Begum, Susan Richman, Phil Quirke, Keara Redmond, Aikaterini Chatzipli, Alessandro Barberis, Sylvana Hassanieh, Umair Mahmood, Michael Youdell, Ultan McDermott, Viktor Koelzer, Simon Leedham, Ian Tomlinson, Philip Dunne, Francesca M. Buffa, Timothy S. Maughan, Andrew Blake, Francesca Buffa, Enric Domingo, Geoffrey Higgins, Christopher Holmes, Viktor Koelzer, Simon Leedham, Timothy Maughan, Gillies McKenna, James Robineau, Ian Tomlinson, Michael Youdell, Philip Quirke, Susan Richman, David Sebag-Montefiore, Matthew Seymour, Nicholas West, Philip Dunne, Richard Kennedy, Mark Lawler, Keara Redmond, Manuel Salto-Tellez, Peter Campbell, Aikaterini Chatzipli, Claire Hardy, Ultan McDermott, Simon Bach, Andrew Beggs, Jean-Baptiste Cazier, Gary Middleton, Dion Morton, Celina Whalley, Louise Brown, Richard Kaplan, Graeme Murray, Richard Wilson, Richard Adams, Richard Sullivan, Leslie Samuel, Paul Harkin, Steven Walker, Jim Hill, Chieh-Hsi Wu, Dennis Horgan

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