Data on Artificial Intelligence Reported by Jieyu Zhan and Colleagues (Enhancing thalassemia gene carrier identification in nonanemic populations using artificial intelligence erythrocyte morphology analysis and machine learning)
Data on Artificial Intelligence Reported by Jieyu Zhan and Colleagues (Enhancing thalassemia gene carrier identification in nonanemic populations using artificial intelligence erythrocyte morphology analysis and machine learning)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligence is the subject of a report. According to newsoriginating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Non-anemic thalassemia trait (TT) accounted for a high proportion of TT cases in South China. To useartificial intelligence (AI) analysis of erythrocyte morphology and machine learning (ML) to identify TTgene carriers in a non-anemic population.”
Key words
Guangzhou/People’s Republic of China/Asia/Artificial Intelligence/Blood Cells/Cell Research/Congenital Anemia/Cyborgs/Emerging Technologies/Erythrocytes/Erythroid Cells/Genetics/Health and Medicine/Hematologic Diseases and Conditions/Hematology/Hemic and Lymphatic Diseases and Conditions/Hemoglobinopathies/Hemolytic/Immunology/Machine Learning/Thalassemia
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