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Post-treatment infection prediction in CLL using domain adaptation of lymphoma electronic health records
0
Zitationen
7
Autoren
2026
Jahr
Abstract
These findings highlight the value of integrating data from different diseases (lymphoma) to improve predictions in a target disease (CLL), and represent a step toward data-driven identification of CLL patients at high risk of infection during treatment.
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