Latest Stories
Harnessing AI, Immunophenotyping, and Drug Sensitivity Testing for Individualized Canine Lymphoma Treatment
ACVIM Forum 2026
A Multi-Modal Tool for Differential Diagnosis of Feline IBD and EATL Using Minimally Invasive Specimens
ACVIM Forum 2026
A multi-omic approach to biomarker discovery for the differential diagnosis of feline IBD and EATL using minimally invasive specimens
Veterinary Cancer Society Collaborative Conference 2025
Quantitative ex vivo synergy profiling uncovers heterogeneous combination responses in AML primary samples
67th ASH Annual Meeting and Exposition
Ex vivo drug sensitivity testing in Korean AML patients: Integration of functional and genomic profiles for predicting clinical response and survival
67th ASH Annual Meeting and Exposition
A multi-institutional machine-learning score that predicts bacteremia and gram class at blood-culture initiation
67th ASH Annual Meeting and Exposition
Large-Scale Validation of a Flow Cytometry Platform for Comprehensive Immunophenotyping, Cell Size Determination, and Prognostic Stratification in Canine Lymphomas
Veterinary Cancer Society Annual Conference 2025
Lumps, Lab Work, and a Little AI: A Tech’s Guide to Canine Lymphoma
Veterinary Cancer Society Annual Conference 2025
When AI Disappoints: Improving Outcomes with Real-World Clinical Data
Veterinary Cancer Society Annual Conference 2025
Ethos Discovery Stratified Outcomes for Lymphoma in Dogs (SOLID) Study: Informing Subclassification & Prognosis
ACVIM Forum 2025
Chemotherapy selection for advanced or metastatic pancreatic cancer using machine learning models trained with multi-center datasets
2025 ASCO Gastrointestinal Cancers Symposium
Optimizing the first line therapy of canine B-cell lymphomas via machine learning
Symposium on Artificial Intelligence in Veterinary Medicine (SAVY) 2.0
A study on the relationship between ex vivo drug sensitivity and clinical outcome of acute lymphoblastic leukemia
AACR Special Conference in Cancer Research: Functional and Genomic Precision Medicine in Cancer: Different Perspectives, Common Goals
Boosting the power of AI-based treatment outcome predictions for canine lymphoma by combining tumor and germline genetic biomarkers and live-cell analytics
Veterinary Cancer Society Annual Conference 2024
Decoding Feline Lymphoma: From Diagnosis to Prognosis
Veterinary Cancer Society Annual Conference 2024
Novel Genetic Biomarkers of Chemotherapeutic Response in Canine Lymphoma and Improved Predictive Power With Integration of Machine Learning
Veterinary Cancer Society Annual Conference 2024
Predicting Chemotherapy Response in Patients With Advanced or Metastatic Pancreatic Cancer Using Machine Learning
ASCO Breakthrough 2024