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

Accurate quantification of lowly expressed SBDS by integrating pacbio iso seq long read and illumina short read sequencing

Accounting for long term survivors and population expected survival improves survival outcomes estimation and prediction in older patients with core binding factor CBF Acute Myeloid Leukemia AML

Machine learning derived comprehensive Geno Immunome of bone marrow failure syndromes reveals complex immunogenetic interactions with clinical implications

Automatic identification of blast leukemic cells types using deep learning with vision transformers

In silico structural biology studies inform the identification of druggable pockets in previously understudied dependencies with tumor type lineage selective roles

Machine learning framework for molecular classification of hematologic malignancies using transcriptome data

Supporting routine diagnostics AI for interpretation of interphase FISH images

Automated multi source data consensus classification of low frequency variants in hematologic malignancies using transparent artificial intelligence

Visualizing systemic light chain amyloidosis with 18f flutemetamol PET CT Correlation with biomarkers and clinical outcome

Unlocking new frontiers in leukemia diagnostics through large language Model–Driven report generation

Field level visual explanations for leukocyte classification using AI model Enhancing interpretability in peripheral smear diagnostics

Spatial single cell multiomics of the bone marrow microenvironment in NPM1 mutant Acute Myeloid Leukemia

Detection of NPM1 mutation in Acute Myeloid Leukemia by multiple droplet digital PCR and its clinical application value

Diagnosing mycosis fungoides using AI powered histologic analysis

Predicting CAR T cell therapy outcomes in large B cell lymphoma using pre infusion clinical and inflammatory markers A machine learning approach with explainable artificial intelligence

Development of a machine learning model to predict overall survival in patients with peripheral T cell lymphoma in a minority enriched population

Polygenic scores as a clinical diagnosis tool for abnormal hematological values

Transcriptomic profiling of T cell immune states before and after donor lymphocyte infusion in a patient with acute myeloid leukemia

Using large language models to identify frailty among older adults with blood cancer

AI based diagnosis of cutaneous lymphoma and lymphoproliferative disorders via H E morphology and LLM assisted cohort curation

Machine learning–driven prognostication of overall survival at 6 months after CAR T cell therapy

Feasibility and utility of unmatched whole genome sequencing uWGS   for pediatric acute leukemias An analysis of leukemia precision based therapy LEAP study samples

Magnetic resonance imaging maps spatiotemporal changes in bone marrow composition of murine JAKV617F models of myelofibrosis during progression and therapy

CRS RS 5p predictive model informs risk stratification and cytokine release syndrome management following glofitamab treatment in patients with relapsed or refractory diffuse large B cell lymphoma

Refining diffuse large B cell lymphoma subtyping using lymphly an evidence based classifier

Generative AI–Powered clinical decision support in germline predisposition to myeloid neoplasms

Large language models mediated extraction of clinical information from bone marrow biopsy pathology reports