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

AI-Based Fine Morphological Subtyping of Myeloma Single Cells for Predicting FISH Abnormalities

AI-Powered Evaluation of Bone Marrow Biopsies Can Distinguish Myeloid Neoplasms from Clinical Mimics

Application of 18F-Fapi PET/MRI in the Assessment of Myelofibrosis: A Multi-Center Prospective Observational Study

Artificial Intelligence-Powered Digital Pathology to Improve Diagnosis and Personalized Prognostic Assessment in Patient with Myeloid Neoplasms

Automated Image Analysis Pipeline for Standardized Processing, Segmentation, and Feature Extraction in Diffuse Large B-Cell Lymphoma Histological Slides: Towards Enhanced Prediction of Immunotherapy Response and Risk Stratification

Correlating Image-Level Nucleomorphologic Features with Molecular Subtypes of Myeloproliferative Neoplasms

Deep Learning Predicts JAK2, Calr TET2, and ASXL1 directly from Whole Slide Marrow Images

Enabling Population-Scale Screening of Myeloid Neoplasms Using Blood Cell Count Dynamics

High-Accurate Third-Generation Sequencing to Comprehensively Decipher BCR::ABL1 TKIs in-Cis Resistant Mutations

In Vitro Drug Profiling to Guide Treatment for Relapse/Refractory AML

Machine Learning for Prediction of Serious Infections in Patients with Treatment-Naïve Lymphoma; A Population-Based Study of 701 Patients from the North Denmark Region

Novel Plasma Cell-Free RNA-Based Liquid Biopsy Approach for CLL

Predicting Antigen-Specific T Cell Immunity Against Wilms Tumor 1 in Hematologic Cancer

Scrhla-Typing: A Method for Quantifying HLA Transcripts in Single Cells

Single-Cell Multiomic Profiling of TP53 Mutated Myelodysplastic Neoplasms - All Clones Are Not Equal

Smartcytoflow: A Machine Learning Decision Support System for Flow Cytometry Analysis in Non-Hodgkin Lymphoma Diagnosis and Screening

The “David Vs Goliath” Study: Application of Large Language Models (LLM) for Automatic Medical Information Retrieval from Multiple Data Sources to Accelerate Clinical and Translational Research in Hematology

Transformer-Based Multi-Modal Deep-Learning for Enrichment-Free Highly Sensitive Detection and Isolation of Circulating Plasma Cells in Multiple Myeloma

Transforming Paediatric Oncology: The Impact of Whole Genome Sequencing on Diagnosing and Managing Haematological Malignancies

Unraveling CAR Differentiation Dynamics through in Vitro and in silico Perturbations

Why Implementing Machine Learning Algorithms in Clinical Routine Is Not a Plug-and-Play Operation: A Simulation Study of a Recently Published ML Algorithm for Acute Leukemia Subtype Diagnosis