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1دورية أكاديمية
المصدر: Tropical Medicine and Health, Vol 51, Iss 1, Pp 1-13 (2023)
مصطلحات موضوعية: Malnutrition, Lao PDR, Multisectoral collaborations, Stakeholders, Coalition, Nutrition policy, Arctic medicine. Tropical medicine, RC955-962
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1349-4147Test
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2دورية أكاديمية
المؤلفون: Tania Pearce, Myfanwy Maple, Sarah Wayland, Kathy McKay, Alan Woodward, Anna Brooks, Anthony Shakeshaft
المصدر: Health Research Policy and Systems, Vol 20, Iss 1, Pp 1-19 (2022)
مصطلحات موضوعية: Suicide prevention, Multisectoral collaborations, Stakeholder, Consumers, Co-creation, Co-ideation, Public aspects of medicine, RA1-1270
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/1478-4505Test
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3صورة
المؤلفون: Julian Euma Ishii-Rousseau (12041773), Shion Seino (12041776), Daniel K. Ebner (12041779), Maryam Vareth (12041782), Ming Jack Po (12041785), Leo Anthony Celi (7347551)
مصطلحات موضوعية: Genetics, Molecular Biology, Biotechnology, Cancer, Science Policy, Hematology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, initial implementation efforts, eaas ) 8221, technology critical data, current clinical ai, eaas approach provides, specialized human resources, eaas approach, human health, critical impact, around data,
%22">xlink ">, transparent education, transparency behind, technical experts, support tools, source databases, realizing policies, predominantly created, multisectoral collaborations, massachusetts institute, mass deployment, machine learning العلاقة: https://figshare.com/articles/figure/Stakeholders_and_Operations_of_the_EaaS_approach_/19116253Test
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4صورة
المؤلفون: Julian Euma Ishii-Rousseau (12041773), Shion Seino (12041776), Daniel K. Ebner (12041779), Maryam Vareth (12041782), Ming Jack Po (12041785), Leo Anthony Celi (7347551)
مصطلحات موضوعية: Genetics, Molecular Biology, Biotechnology, Cancer, Science Policy, Hematology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, initial implementation efforts, eaas ) 8221, technology critical data, current clinical ai, eaas approach provides, specialized human resources, eaas approach, human health, critical impact, around data,
%22">xlink ">, transparent education, transparency behind, technical experts, support tools, source databases, realizing policies, predominantly created, multisectoral collaborations, massachusetts institute, mass deployment, machine learning -
5
المؤلفون: Julian Euma Ishii-Rousseau (12041773), Shion Seino (12041776), Daniel K. Ebner (12041779), Maryam Vareth (12041782), Ming Jack Po (12041785), Leo Anthony Celi (7347551)
مصطلحات موضوعية: Genetics, Molecular Biology, Biotechnology, Cancer, Science Policy, Hematology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, initial implementation efforts, eaas ) 8221, technology critical data, current clinical ai, eaas approach provides, specialized human resources, eaas approach, human health, critical impact, around data,
%22">xlink ">, transparent education, transparency behind, technical experts, support tools, source databases, realizing policies, predominantly created, multisectoral collaborations, massachusetts institute, mass deployment, machine learning -
6
المؤلفون: Julian Euma Ishii-Rousseau (12041773), Shion Seino (12041776), Daniel K. Ebner (12041779), Maryam Vareth (12041782), Ming Jack Po (12041785), Leo Anthony Celi (7347551)
مصطلحات موضوعية: Genetics, Molecular Biology, Biotechnology, Cancer, Science Policy, Hematology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, initial implementation efforts, eaas ) 8221, technology critical data, current clinical ai, eaas approach provides, specialized human resources, eaas approach, human health, critical impact, around data,
%22">xlink ">, transparent education, transparency behind, technical experts, support tools, source databases, realizing policies, predominantly created, multisectoral collaborations, massachusetts institute, mass deployment, machine learning