Angama @Angama_Market@techhub.social
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入院時データを用いた機械学習解析で、抗体が低く、ウイルス量が多い人ほどロングCOVIDになりやすいことが判明。重症度やICU入室より、初期の免疫応答の弱さが鍵。ロングCOVIDは急性期から始まっている可能性。

t.co/AsiYWEJIjH

Machine learning models predict long COVID outcomes based on baseline clinical and immunologic factors - Communications Medicine

Jayavelu, Samaha et al., apply machine learning models on hospital admission data, including antibody titers and viral load, to identify patients at high risk for Long COVID. Low antibody levels, high viral loads, chronic diseases, and female sex are key predictors, supporting early, targeted interventions.

www.nature.com · Nature

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