803. Emerging Tools, Techniques and Artificial Intelligence in Hematology: Poster III

cfDNA Methylation-Based Pan-Hematologic Prognostic Classification

A Miniaturized, Rapid Technique for Measuring Red Blood Cell-Mediated Microcapillary Occlusion in HbAS, HbSC, and HbSS Sickle Cell Disease Genotypes

An Intravital Imaging Protocol to Visualize and Phenotype the Hematopoietic Niche of Clonal Hematopoiesis

Enhancing Cytogenetic Diagnostics: Incorporating Optical Genome Mapping in the Laboratory Routine

Deep Learning for Circulating Multiple Myeloma Cell (CMMC) Enumeration with the Cellsearch System

Comprehensive Characterisation of the Copy Number Landscape in Acute Lymphoblastic Leukemia Using Digitalmlpa

Feasibility and Accuracy of Nanopore Transcriptome Sequencing for Pediatric Acute Leukemia Lineage Classification in a Resource-Constrained Setting

Impact of Sequence Uniqueness on MRD Monitoring in NGS Immunoglobulin Sequencing: An Analysis of Ig Loci Among 1200 Diffuse Large B-Cell Lymphoma Pat

Predicting Major Bleeding in Patients with Venous Thromboembolism on Extended Anticoagulation Therapy Using Follow-up Data and Long Short-Term Memory

Ex-Vivo Testing Platform to Predict Clinical Response and Resistance to Proteosome Inhibitors, IMiDs and Daratumumab in Multiple Myeloma

Risk Factors for Pediatric Acute Chest Syndrome Utilizing Machine Learning Techniques

Inter-Facility Evaluation of Machine Learning Based Deep Hematopoietic Cell Classifiers for Cytological Evaluation of Hematopoiesis

Combined Single Cell Flow Cytometry and Imaging Analyses Reveal Immunomodulatory Effects Exerted By Targeted Phospho-SYK Inhibitors with Elevated Sens

Assessment of Optical Genome Mapping for Front-Line Diagnostic Evaluation of Acute Leukemia: A Canadian Single-Center Evaluation of Added Yield in 69

Raman Spectroscopy Imaging As a Tool to Classify Diffused Large B-Cell Lymphoma Subtypes

Diagnostic Performance and Clinical Impacts of Metagenomic Sequencing after Allogeneic Hematopoietic Stem Cell Transplantation

Single-Cell Genomics and Proteomics Reveals Venetoclax-Resistant Monocytic Differentiation of TP53 LOH Clones in TP53 Mutant AML

Computational Approach Based on Independent Drug Action Identifies Clinically Relevant Combinations for Acute Myeloid Leukemia

Geno-Multiomics Strategy Informs Drug Response Profiles in High-Risk Myeloid Neoplasia

Machine Learning-Based Decision Tree for Identifying and Grading Severity of Immune Effector Cell-Associated Neurotoxicity Syndrome (ICANS) Based on N

Machine Learning-Facilitated Cross-Panel Automatic Classification at Both Sample and Cell Level in Acute Myeloid Leukemia