Data assimilation of synthetic data as a novel strategy for predicting disease progression in alopecia areata

DOI10.1093/IMAMMB/DQAB008zbMath1472.92120OpenAlexW3172592264WikidataQ113819097 ScholiaQ113819097MaRDI QIDQ5157578

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Publication date: 19 October 2021

Published in: Mathematical Medicine and Biology: A Journal of the IMA (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/imammb/dqab008

zbMATH Keywords

data assimilationpersonalized medicineautoimmunityalopecia areata

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

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