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Machine Learning Poised To Revolutionise Clinical Trials And Improve Patient Outcomes

In their recent study, a collaborative research team used machine learning to generate individualised predictions about the effect of higher or lower amounts of oxygen on mortality in critically ill adults receiving life support in the intensive care .

New zealandUnited statesNew zealand generalTe whatuSouth australiaNew zealandersAlex psiridesRichard beasleyPaul youngTiritio waitangiDerek angusCare medicine programmeMonash universityZealand intensive care society clinical trials groupUniversity of melbourneCare research unit at wellington hospital

Business Scoop » Machine Learning Poised To Revolutionise Clinical Trials And Improve Patient Outcomes

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New zealandNew zealand generalUnited statesSouth australiaTe whatuNew zealandersTiritio waitangiRichard beasleyPaul youngDerek angusAlex psiridesUniversity of melbourneZealand intensive care society clinical trials groupCare research unit at wellington hospitalCare medicine programmeMonash university

Community Scoop » Machine Learning Poised To Revolutionise Clinical Trials And Improve Patient Outcomes

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New zealandNew zealand generalSouth australiaTe whatuUnited statesNew zealandersRichard beasleyPaul youngTiritio waitangiAlex psiridesDerek angusCare research unit at wellington hospitalResearch institute of new zealandAmerican medical associationDepartment of critical careUniversity of melbourne

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United kingdomNick fletcherTony johnsonEd milibandDame rosie wintertonDepartment of critical careDoncaster royal infirmaryDoncaster royalCritical careEast ward blockDon valleyTory government

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Prashant boradeDepartment of critical careOutpatient departmentIntensive respiratory care unitGlobal hospitalsCentral mumbaiCritical care