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Individualized Prediction of Drug Response and Rational Combination Therapy in NSCLC Using Artificial Intelligence-Enabled Studies of Acute Phosphoproteomic Changes.

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第一作者： Elizabeth A,Coker

第一单位： Department of Data Science, The Institute of Cancer Research, London, United Kingdom.;Wellcome Sanger Institute, Hinxton, United Kingdom.;Healx Ltd., Cambridge, United Kingdom.

作者： Elizabeth A,Coker ^[1] ; Adam,Stewart ^[2] ; Bugra,Ozer ^[3] ; Anna,Minchom ^[4] ; Lisa,Pickard ^[2] ; Ruth,Ruddle ^[5] ; Suzanne,Carreira ^[6] ; Sanjay,Popat ^[4] ; Mary,O'Brien ^[7] ; Florence,Raynaud ^[5] ; Johann,de Bono ^[8] ; Bissan,Al-Lazikani ^[9] ; Udai,Banerji ^[8]

作者单位： Department of Data Science, The Institute of Cancer Research, London, United Kingdom.;Wellcome Sanger Institute, Hinxton, United Kingdom.;Healx Ltd., Cambridge, United Kingdom. ^[1] Division of Clinical Studies, The Institute of Cancer Research, London, United Kingdom.;Division of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom. ^[2] Department of Data Science, The Institute of Cancer Research, London, United Kingdom.;Healx Ltd., Cambridge, United Kingdom. ^[3] Division of Clinical Studies, The Institute of Cancer Research, London, United Kingdom.;The Royal Marsden NHS Foundation Trust, London, United Kingdom. ^[4] Division of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom. ^[5] Division of Clinical Studies, The Institute of Cancer Research, London, United Kingdom. ^[6] The Royal Marsden NHS Foundation Trust, London, United Kingdom. ^[7] Division of Clinical Studies, The Institute of Cancer Research, London, United Kingdom.;Division of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom.;The Royal Marsden NHS Foundation Trust, London, United Kingdom. ^[8] Department of Data Science, The Institute of Cancer Research, London, United Kingdom.;Division of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom. ^[9]