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

A universally accessible residual Network–Assisted diagnostic and analytic tool RADIANT for acute lymphoblastic leukemia

Large language model for abstraction of CAR T therapy toxicities data

Regional hypometabolism on brain FDG PET one month after receiving chimeric antigen receptor T cell therapy may be associated with icans

Quantitative ex vivo synergy profiling uncovers heterogeneous combination responses in AML primary samples

Use of red cell deformability measurements to assess the impact of pyruvate kinase activators on combined drug and transfusion therapies

Quantitative real time polymerase chain reaction coupled with high resolution melting HRM for simultaneous detection and quantification of four isoforms of BCR ABL1

A novel random survival forest model for adult NPM1 mutated Acute Myeloid Leukemia patients

From co occurrence to mutual exclusivity Long read single cell rnaseq atlas of healthy human bone marrow unveils RNA isoform landscape

Marvin Deep generative model with structured latent space for flow cytometry cell classification and discovery of new population

AI multimodal large language model on CAR T pre leukapheresis evaluation to predict monitoring needs post infusion for early dismissal planning

Whole genome sequencing uncovers novel BCR ABL1 breakpoints and variants in leukemia Implications for personalized medicine

Clinical and technological validation of locally installed privacy compliant and hematology tailored ambient AI platform for clinical report transcription assistance and clinical trial patient management

Automated subtype classification of acute leukemia from bone marrow smears using a cross platform deep learning model

Varaser Genetic individual identification free from direct raw data sharing

Readability quality of large language model responses in CAR T patient education

Predicting genetic alterations in Acute Myeloid Leukemia through AI based analysis of bone marrow morphology

Machine learning–based detection model for leukemia cells in peripheral blood smears using YOLOv11 large

Automated AI classification in clinical flow cytometry Transforming B cell lymphoma diagnostics

Targeted long read sequencing with adaptive sampling in multiple myeloma A pilot study toward a unified diagnostic platform

Development of whole blood viscosity measurements under hypoxia for use in sickle cell disease

Detecting lineage specific regulatory activity and stemness retention in single cell multiomics of human hematopoiesis

ML driven analysis of iscn karyotypes enables detection of novel prognostic markers in chronic lymphocytic leukemia CLL

Long read single cell isoform sequencing for cell type specific detection of genomic rearrangement dependent and independent fusion transcripts

Machine learning accurately predicts mortality in adult NPM1 mutant Acute Myeloid Leukemia using baseline clinical and genomic features

Hematobot Retrieval‑augmented large language model‑based assistants for therapy toxicity and frailty management in multiple myeloma by the spanish society of hematology and hemotherapy SEHH

Comparing the accuracy of natural language processing labelling versus manual chart review and ICD 10 codes to identify bleeding events in patients with cancer

AI driven platform voyager identifies a novel poison exon and splicing modulator to target specific degradation of STAT1

Deep learning enables automated quantification of hematopoietic stem and progenitor cells HSPCs in zebrafish embryos

Long read whole genome sequencing improves clinical management in acute leukemia