Test Brochures / Case Studies
Published Posters
ASCO 2023
Distinguishing between cancer-related mutations and clonal hematopoiesis using cell-free RNA (cfRNA) expression levels in a machine learning model
Defining the immune microenvironment
in myelodysplastic syndrome
and acute myeloid leukemia
using machine learning
Using machine learning to characterize lung cancer microenvironment and the development of a model to predict the presence of similar microenvironment in other cancers
ASH 2023
USING NEXT GENERATION SEQUENCING OF FLOW CYTOMETRY CD MARKERS AND MACHINE LEARNING AS A REPLACEMENT TO FLOW CYTOMETRY ANALYSIS FOR THE DIAGNOSIS OF HEMATOLOGIC NEOPLASMS
LYMPHOMA DIAGNOSIS AND CLASSIFICATION USING NEXT
GENERATION SEQUENCING OF 30 CD MARKERS AND MACHINE
LEARNING AS AN ALTERNATIVE TO IMMUNOHISTOCHEMISTRY
AACR 2023
Predicting PD-L1 Status in Solid Tumors Using Transcriptomic Data and Artificial Intelligence Algorithms
The Molecular Landscape of Premenopausal Versus Postmenopausal Breast Cancer in Patients Without Inherited Predisposition Mutations
Real-world transcriptomic biomarkers as replacement for immunohistochemistry and FISH studies in breast cancer
ASCO 2022
Combining cell-free RNA (cfRNA) with cell-free total nucleic acid (cfTNA) as a new paradigm for liquid biopsy
Cell-free RNA in liquid biopsy and biomarkers profiling of hematologic and solid tumors
Differential diagnosis of hematologic and solid tumors using targeted transcriptome and artificial intelligence
ASH 2022
DNA AND RNA PROFILES IN MACHINE LEARNING ALGORITHM TO PREDICT WHICH PATIENTS WITH AML/MDS WILL RESPOND TO VENETOCLAX-BASED THERAPY
LIQUID IMMUNOPHENOTYPING
AND THE DIAGNOSIS OF
LYMPHOID NEOPLASMS
USING CELL-FREE RNA
ASH 2021
Bone Marrow-Based Biomarkers for Predicting aGVHD Using Targeted RNA Next Generation Sequencing and Machine Learning
Reliability of Liquid Biopsy and Next Generation Sequencing in Monitoring Residual Disease Post-Hematopoietic Stem Cell Transplant
Determining Clinical Course of Diffuse Large B-cell lymphoma
Using Targeted Transcriptome
and Machine Learning Algorithms
