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Canine lymphoma & Leukemia
Personalized Prediction Profile
AI-Driven Drug Response Predictions
(Flow Cytometry + PARR included)
Drug Response Predictions
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Personalize anticancer drug treatment decisions with confidence
Immunoprofile
Get accurate diagnostic support from the start (Flow Cytometry + PARR)
Flow Cytometry
Accurately determine lymphoma or leukemia subtypes
PARR
Detect neoplastic B-cell or T-cell clones
Multidrug Sensitivity Genotyping (MDR1)
Identify MDR1 carrier status with ease
Digital Cytology (Add-on)
Confirm lymphoma or leukemia with precision
Services For
FELINE lymphoma & Leukemia
Immunoprofile
Get accurate diagnostic support from the start (PARR + Flow Cytometry)
Flow Cytometry
Accurately determine lymphoma or leukemia subtypes
PARR
Detect neoplastic B-cell or T-cell clones
Digital Cytology (Add-on)
Confirm lymphoma or leukemia with precision
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veterinarians
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Scientific Publications
Recent advances in and applications of ex vivo drug sensitivity analysis for blood cancers
Blood Research
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Scientific Publications
Prognostic Utility of the Flow Cytometry and Clonality Analysis Results for Feline Lymphomas
Veterinary Sciences
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Scientific Publications
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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Scientific Publications
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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Scientific Publications
ML-based sequential analysis to assist selection between VMP and RD for newly diagnosed multiple myeloma
npj Precision Oncology
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Scientific Publications
Predicting Dynamic Clinical Outcomes of the Chemotherapy for Canine Lymphoma Patients Using a Machine Learning Model
Veterinary Sciences
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Scientific Publications
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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