首页|Finnish Red Cross Blood Service Reports Findings in Machine Learning (A machine- learning method for biobank-scale genetic prediction of blood group antigens)
Finnish Red Cross Blood Service Reports Findings in Machine Learning (A machine- learning method for biobank-scale genetic prediction of blood group antigens)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Vantaa, Finl and, by NewsRx correspondents, research stated, “A key elementfor successful bl ood transfusion is compatibility of the patient and donor red blood cell (RBC) a ntigens.Precise antigen matching reduces the risk for immunization and other ad verse transfusion outcomes.”Financial supporters for this research include Government of Finland VTR funding , Independent ResearchFund Denmark, Bloddonornes forskningsfond, A.P Moller Fon den, Knut och Alice WallenbergsStiftelse.
VantaaFinlandEuropeAntigensBiolo gical FactorsBloodCellsBlood Group AntigensCell ResearchCyborgsEmergi ng TechnologiesErythrocytesGeneticsHealth and MedicineImmunologyIsoant igensMachine LearningSurface Antigens