803. Emerging Tools, Techniques, and Artificial Intelligence in Hematology: Poster III
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A Cutting-Edge Bioinformatics Tool for Neoantigen Identification in Unpaired RNA-Seq Samples of AML
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A Cutting-Edge Bioinformatics Tool for Neoantigen Identification in Unpaired RNA-Seq Samples of AML
A Deep-Learning Pipeline for Diagnosis of Myelodysplastic Syndromes/Neoplasms Using Bone Marrow Smears
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A Deep-Learning Pipeline for Diagnosis of Myelodysplastic Syndromes/Neoplasms Using Bone Marrow Smears
Accelerating Drug Discovery: AI-Powered Indication Exploration for Ropeginterferon Alfa-2b
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Accelerating Drug Discovery: AI-Powered Indication Exploration for Ropeginterferon Alfa-2b
An Artificial Intelligence-Based Federated Learning Platform to Boost Precision Medicine in Rare Hematological Diseases: An Initiative By GenoMed4all and Synthema Consortia
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An Artificial Intelligence-Based Federated Learning Platform to Boost Precision Medicine in Rare Hematological Diseases: An Initiative By GenoMed4all and Synthema Consortia
Analytical Validation of a Next-Generation Sequencing Assay for Detecting Minimal Residual Disease in Lymphoid Malignancies
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Analytical Validation of a Next-Generation Sequencing Assay for Detecting Minimal Residual Disease in Lymphoid Malignancies
Artificial-Intelligence Driven Quantification of Sickle Red Blood Cell Morphology As an Objective Disease Marker
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Artificial-Intelligence Driven Quantification of Sickle Red Blood Cell Morphology As an Objective Disease Marker
Autonomous Region-of-Interest Detection, Cell Segmentation and Cell Classification in Bone Marrow Cytomorphology Using Deep Learning
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Autonomous Region-of-Interest Detection, Cell Segmentation and Cell Classification in Bone Marrow Cytomorphology Using Deep Learning
Deep Learning Unveils Characteristics of Immune B Cell Aging in 17,000 Samples and Identifies Changes in the Immunoglobulin Repertoire Distribution and the Development of Monoclonal Gammopathy
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Deep Learning Unveils Characteristics of Immune B Cell Aging in 17,000 Samples and Identifies Changes in the Immunoglobulin Repertoire Distribution and the Development of Monoclonal Gammopathy
Deep Learning the Cis-Regulatory Code of Epigenomic Rewiring By Fusion Transcription Factors in Pediatric Leukemia
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Deep Learning the Cis-Regulatory Code of Epigenomic Rewiring By Fusion Transcription Factors in Pediatric Leukemia
Deep Learning-Driven 24-Hour Mortality Risk Assessment through Peripheral Blood Smear Morphology in Hospitalized Cancer Patients
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Deep Learning-Driven 24-Hour Mortality Risk Assessment through Peripheral Blood Smear Morphology in Hospitalized Cancer Patients
Generation of Multimodal Longitudinal Synthetic Data By Artificial Intelligence to Improve Personalized Medicine in Hematology
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Generation of Multimodal Longitudinal Synthetic Data By Artificial Intelligence to Improve Personalized Medicine in Hematology
Hi-C Allows Genome-Wide Characterization of Enhancer-Driven Oncogene Rearrangements in Formalin-Fixed Lymphoid Cancer Biopsies
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Hi-C Allows Genome-Wide Characterization of Enhancer-Driven Oncogene Rearrangements in Formalin-Fixed Lymphoid Cancer Biopsies
Machine Learning in Predicting Longitudinal Platelet Counts: Applications in Dose Optimization
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Machine Learning in Predicting Longitudinal Platelet Counts: Applications in Dose Optimization
Novel Machine Learning Approaches Tailored to Protein Configuration Predict Drug Vulnerabilities in Myeloid Neoplasia
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Novel Machine Learning Approaches Tailored to Protein Configuration Predict Drug Vulnerabilities in Myeloid Neoplasia
Practical Microenvironment Classification in Diffuse Large B-Cell Lymphoma Using Digital Pathology
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Practical Microenvironment Classification in Diffuse Large B-Cell Lymphoma Using Digital Pathology
Transcriptional Profiling of Plasma Cells in AL Amyloidosis and Multiple Myeloma: A Single-Cell RNA Sequencing Approach
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Transcriptional Profiling of Plasma Cells in AL Amyloidosis and Multiple Myeloma: A Single-Cell RNA Sequencing Approach
Ultra-Deep Sequencing and Single Cell Multi-Omics Characterize Measurable Residual Disease and Identify Therapy-Survived Clone in Pediatric Acute Myeloid Leukemia
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Ultra-Deep Sequencing and Single Cell Multi-Omics Characterize Measurable Residual Disease and Identify Therapy-Survived Clone in Pediatric Acute Myeloid Leukemia