Cancer's Crystal Ball: ImpriMed Unveils Revolutionary Treatment Forecast Technology

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Precision Cell-Sizing Revolutionizes Veterinary Oncology

Groundbreaking research from ImpriMed has unveiled a novel cell-sizing technique that holds immense promise for transforming veterinary oncology. By enhancing the accuracy of cell-size evaluation, this technique empowers veterinarians with more reliable prognostic insights, enabling them to tailor treatment plans and improve patient outcomes.

Personalized Prediction Profile for Enhanced Treatment

ImpriMed's personalized prediction profile, which includes an immunoprofile report, provides valuable clonality and immunophenotype data. This empowers oncologists and researchers to harness AI-driven technology to predict treatment outcomes, ensuring that every patient receives truly personalized therapy.

AI-Driven Drug Response Predictions for Canine Patients

In May, ImpriMed launched ImpriMed Drug Response Predictions, an AI service that delivers personalized anticancer drug response projections for canine patients with lymphoma or leukemia. This service represents a significant advancement in veterinary oncology, providing veterinarians with critical information to guide treatment decisions.

Expansion into Human Oncology

ImpriMed's expansion of its precision medicine services from veterinary to human oncology marks a pivotal milestone in the company's mission to transform cancer treatment. The company's human precision medicine services will focus on complex blood cancers, utilizing a combination of genomic analysis, ex vivo drug sensitivity testing, and machine learning.

Novel Cell-Sizing Method for Feline Lymphomas

In August, ImpriMed announced the publication of research on a novel cell-sizing method for feline lymphomas in Veterinary Sciences. This research demonstrates the potential of ImpriMed's technique to improve diagnostic accuracy and prognostication in feline oncology.

AI-Driven Drug Response Prediction for Human Oncology

ImpriMed's AI-driven drug response prediction technology is poised to revolutionize human oncology. By leveraging genomic data and machine learning, the company aims to provide personalized drug response predictions for routine blood cancers such as newly diagnosed multiple myeloma and acute myeloid leukemia.

Presentation at EHA-SfPM Meeting

Data from ImpriMed's new research on naive non-Hodgkin lymphoma

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