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Recent advances in and applications of ex vivo drug sensitivity analysis for blood cancers

Blood Research
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Prognostic Utility of the Flow Cytometry and Clonality Analysis Results for Feline Lymphomas

Veterinary Sciences
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Multimodal machine learning models identify chemotherapy drugs with prospective clinical efficacy in dogs with relapsed B-cell lymphoma

Frontiers in Oncology
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Prognostic value of European LeukemiaNet 2022 criteria and genomic clusters using machine learning in older adults with acute myeloid leukemia

Haematologica
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ML-based sequential analysis to assist selection between VMP and RD for newly diagnosed multiple myeloma

npj Precision Oncology
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Predicting Dynamic Clinical Outcomes of the Chemotherapy for Canine Lymphoma Patients Using a Machine Learning Model

Veterinary Sciences
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Predicting likelihood of in vivo chemotherapy response in canine lymphoma using ex vivo drug sensitivity and immunophenotyping data in a machine learning model

Veterinary and Comparative Oncology
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