Published in Blood Research, Nov 2024
Recent advances in and applications of ex vivo drug sensitivity analysis for blood cancers
Poster abstract presented in The 65th ASH Annual Meeting, Nov 2023
Prognostic Utility of the Patient-Derived AML Cells' Ex Vivo Drug Sensitivity Results
Published in Haematologica, Sept 2023
Prognostic value of European Leukemia Net 2022 criteria and genomic clusters using machine learning in older adults with acute myeloid leukemia
Published in npj Precision Oncology, May 2023
ML-based sequential analysis to assist selection between VMP and RD for newly diagnosed multiple myeloma
Published in Biotechnology and Bioprocess Engineering, Jan 2025
A study on the relationship between MDR1 mutation and ex vivo drug sensitivities of canine lymphomas
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Published in Veterinary Sciences, July 2024
Prognostic Utility of the Flow Cytometry and Clonality Analysis Results for Feline Lymphomas
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Published in Frontiers in Oncology, Feb 2024
Multimodal machine learning models identify chemotherapy drugs with prospective clinical efficacy in dogs with relapsed B-cell lymphoma
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Published in Veterinary Sciences, Dec 2021
Predicting Dynamic Clinical Outcomes of the Chemotherapy for Canine Lymphoma Patients Using a Machine Learning Model
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Published in Veterinary and Comparative Oncology, Oct 2020
Predicting likelihood of in vivo chemotherapy response in canine lymphoma using ex vivo drug sensitivity and immunophenotyping data in a machine learning model
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