首页|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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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.”

GuangzhouPeople’s Republic of ChinaAsiaArtificial IntelligenceBlood CellsCell ResearchCongenital AnemiaCyborgsEmerging TechnologiesErythrocytesErythroid CellsGeneticsHealth and MedicineHematologic Diseases and ConditionsHematologyHemic and Lymphatic Diseases and ConditionsHemoglobinopathiesHemolyticImmunologyMachine LearningThalassemia

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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年,卷(期):2024.(Jan.8)