Robotics & Machine Learning Daily News2024,Issue(Apr.9) :35-35.

Finnish Red Cross Blood Service Reports Findings in Machine Learning (A machine- learning method for biobank-scale genetic prediction of blood group antigens)

Robotics & Machine Learning Daily News2024,Issue(Apr.9) :35-35.

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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Abstract

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.

Key words

Vantaa/Finland/Europe/Antigens/Biolo gical Factors/BloodCells/Blood Group Antigens/Cell Research/Cyborgs/Emergi ng Technologies/Erythrocytes/Genetics/Health and Medicine/Immunology/Isoant igens/Machine Learning/Surface Antigens

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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