Publications

Read our peer-reviewed scientific papers

Human Oncology

First page of Prognostic value of European Leukemia Net 2022 criteria and genomic clusters using machine learning in older adults with acute myeloid leukemia, published Sept 2023

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

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ImpriMed's article on "ML-based sequential analysis to assist selection between VMP and RD for newly diagnosed multiple myeloma" was published in npj precision oncology

Published in npj Precision Oncology, May 2023

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

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Veterinary Oncology

Published in Veterinary Sciences, July 2024

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

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First page of Multimodal machine learning models identify chemotherapy drugs with prospective clinical efficacy in dogs with relapsed B-cell lymphoma published by Frontiers in Oncology in Feb 2024

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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First page of Predicting Dynamic Clinical Outcomes of the Chemotherapy for Canine Lymphoma Patients Using a Machine Learning Model published by Veterinary Sciences in Dec 2021

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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First page of Predicting likelihood of in vivo chemotherapy response in canine lymphoma using ex vivo drug sensitivity and immunophenotyping data in a machine learning model by Veterinary Comparative Oncology in Oct 2020.

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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