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Machine learning reveals country-specific drivers of global cancer outcomes.

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Title: Machine learning reveals country-specific drivers of global cancer outcomes.
Authors: Patel MS; Department of Molecular Biosciences, The University of Texas at Austin, Austin, USA; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA. Electronic address: militpatel@utexas.edu., Pramesh CS; National Cancer Grid, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India., Sanford NN; Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, USA., Feliciano EJG; School of Medicine and Public Health, Ateneo de Manila University, Pasig City, Philippines; Department of Medicine, NYC Health + Hospitals/Elmhurst, Icahn School of Medicine at Mount Sinai, Queens, USA., Nguyen PL; Department of Radiation Oncology, Dana-Farber Cancer Institute/Harvard Cancer Center, Boston, USA., Iyengar P; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA., Kingham TP; Global Cancer Disparities Initiatives, Memorial Sloan Kettering Cancer Center, New York, USA., Willmann J; Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA., Mahal BA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, USA; Department of Medicine, University of Miami Miller School of Medicine, Miami, USA., Lee NY; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA., Magsanoc-Alikpala MJK; ICanServe Foundation, Manila, Philippines; Cancer Coalition Philippines, Makati, Philippines., Mutebi M; Department of Surgery, Aga Khan University, Nairobi, Kenya., Wu JF; Division of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, USA., Robredo JPG; School of Medicine and Public Health, Ateneo de Manila University, Pasig City, Philippines; Ariadne Labs, Harvard T.H. Chan School of Public Health, Boston, USA., Dee EC; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA. Electronic address: deee1@mskcc.org.
Source: Annals of oncology : official journal of the European Society for Medical Oncology [Ann Oncol] 2026 Apr; Vol. 37 (4), pp. 565-573. Date of Electronic Publication: 2026 Jan 14.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 9007735 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1569-8041 (Electronic) Linking ISSN: 09237534 NLM ISO Abbreviation: Ann Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine learning reveals country-specific drivers of global cancer outcomes.
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  Data: <searchLink fieldCode="AU" term="%22Patel+MS%22">Patel MS</searchLink>; Department of Molecular Biosciences, The University of Texas at Austin, Austin, USA; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA. Electronic address: militpatel@utexas.edu.<br /><searchLink fieldCode="AU" term="%22Pramesh+CS%22">Pramesh CS</searchLink>; National Cancer Grid, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India.<br /><searchLink fieldCode="AU" term="%22Sanford+NN%22">Sanford NN</searchLink>; Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, USA.<br /><searchLink fieldCode="AU" term="%22Feliciano+EJG%22">Feliciano EJG</searchLink>; School of Medicine and Public Health, Ateneo de Manila University, Pasig City, Philippines; Department of Medicine, NYC Health + Hospitals/Elmhurst, Icahn School of Medicine at Mount Sinai, Queens, USA.<br /><searchLink fieldCode="AU" term="%22Nguyen+PL%22">Nguyen PL</searchLink>; Department of Radiation Oncology, Dana-Farber Cancer Institute/Harvard Cancer Center, Boston, USA.<br /><searchLink fieldCode="AU" term="%22Iyengar+P%22">Iyengar P</searchLink>; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA.<br /><searchLink fieldCode="AU" term="%22Kingham+TP%22">Kingham TP</searchLink>; Global Cancer Disparities Initiatives, Memorial Sloan Kettering Cancer Center, New York, USA.<br /><searchLink fieldCode="AU" term="%22Willmann+J%22">Willmann J</searchLink>; Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, USA.<br /><searchLink fieldCode="AU" term="%22Mahal+BA%22">Mahal BA</searchLink>; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, USA; Department of Medicine, University of Miami Miller School of Medicine, Miami, USA.<br /><searchLink fieldCode="AU" term="%22Lee+NY%22">Lee NY</searchLink>; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA.<br /><searchLink fieldCode="AU" term="%22Magsanoc-Alikpala+MJK%22">Magsanoc-Alikpala MJK</searchLink>; ICanServe Foundation, Manila, Philippines; Cancer Coalition Philippines, Makati, Philippines.<br /><searchLink fieldCode="AU" term="%22Mutebi+M%22">Mutebi M</searchLink>; Department of Surgery, Aga Khan University, Nairobi, Kenya.<br /><searchLink fieldCode="AU" term="%22Wu+JF%22">Wu JF</searchLink>; Division of Hematology and Oncology, Department of Medicine, Medical College of Wisconsin, Milwaukee, USA.<br /><searchLink fieldCode="AU" term="%22Robredo+JPG%22">Robredo JPG</searchLink>; School of Medicine and Public Health, Ateneo de Manila University, Pasig City, Philippines; Ariadne Labs, Harvard T.H. Chan School of Public Health, Boston, USA.<br /><searchLink fieldCode="AU" term="%22Dee+EC%22">Dee EC</searchLink>; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, USA. Electronic address: deee1@mskcc.org.
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        Value: 10.1016/j.annonc.2025.11.014
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              Text: 2026 Apr
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