Autori: (broj koautora 291)
| Naslov | The artificial intelligence-based model ANORAK improves histopathological grading of lung adenocarcinoma (Article; Early Access) |
| Autori | Pan Xiaoxi ... Tanic Miljana G  ... (broj koautora 291)
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| Info | NATURE CANCER, (2024), vol. br. , str. - |
| Projekat | Cancer Research UK Career Establishment Award; University College London (UCL); Cancer Research UK; Breast Cancer Now; Children's Cancer and Leukaemia Group; National Institutes of Health (NIH); Congressionally Directed Medical Research Programs; Breast Cancer Research Program; European Commission Innovative Training Network (H2020-MSCA-ITN-2019); Wellcome Trust; Royal Marsden/Institute of Cancer Research National Institute of Health Research Biomedical Research Centre; Francis Crick Institute - Cancer Research UK; UK Medical Research Council (MRC); Cancer Research UK (TRACERx); PEACE; Cancer Research UK Cancer Immunotherapy Catalyst Network; Cancer Research UK Lung Cancer Centre of Excellence; Rosetrees Trust; Butterfield and Stoneygate Trust; NovoNordisk Foundation [C45982/A21808]; Royal Society Professorship Enhancement Award [UCL/12/0279]; National Institute for Health Research University College London Hospitals Biomedical Research Centre [C11496/A17786]; Cancer Research UK-University College London Centre [2015NovPR638]; Experimental Cancer Medicine Centre [CCLGA201906]; Breast Cancer Research Foundation [U54 CA217376, R01 CA185138]; Cancer Research UK Early Detection an Diagnosis Primer Award; Mark Foundation for Cancer Research Aspire Award [BC132057]; American Association for Cancer Research; Scientific partner of SU2C [105104/Z/14/Z, CC2041]; European Research Council (ERC) Advanced Grant (PROTEUS); [RSRP\R\210001]; [C416/A21999]; [C11496/A30025]; [ID16584]; [RP/EA/180007]; [BCRF-22-157]; [EDDPMA-Nov21/100034]; [21-029-ASP]; [835297] |
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