Single-cell proteomics | Liquid biopsy
Novel Myeloma Biomarkers from Single-cell Proteomics
Targeted single-cell proteomic analysis identifies new liquid biopsy biomarkers associated with multiple myeloma
Libère J. Ndacayisaba, PhD
Building impactful frontier technologies for human health.
Highlighted Work
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Machine learning | Multimodality | Precision oncology
Deep learning for Multimodal Data Integration
Mathematical Oncology to Integrate Multimodal Clinical and Liquid Biopsy Data for the Prediction of Survival
Single Cell Multiomics | Precursor Disease
Clonotypic and Transcriptomic Evolution of Myeloma
Single cell clonotypic and transcriptional evolution of multiple myeloma precursor disease
B-cell maturation antigen | Neoplastic progression
BCMA Expression in Circulating Cancer Cells
Characterization of BCMA Expression in Circulating Rare Single Cells of Patients with Plasma Cell Neoplasms
Morphogenomics | Circulating plasma cells
Morphogenomic Assay for Detecting Circulating Plasma Cells
Enrichment-Free Single-Cell Detection and Morphogenomic Profiling of Myeloma Patient Samples to Delineate Circulating Rare Plasma Cell Clones
RNA interference | Machine Learning
Machine Learning Models to Predict off-target Effects in RNAi
Exploring miRNA Silencing Mechanisms Using Machine Learning Algorithms