803. Emerging Tools, Techniques, and Artificial Intelligence in Hematology: Poster I
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A Comprehensive, Artificial Intelligence, Digital Twin Platform Based on Multimodal Real-World Data Integration for Personalized Medicine in Hematology
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A Comprehensive, Artificial Intelligence, Digital Twin Platform Based on Multimodal Real-World Data Integration for Personalized Medicine in Hematology
A Novel and Highly-Specific qRT-PCR System for Mutant NPM1 MRD Detection
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A Novel and Highly-Specific qRT-PCR System for Mutant NPM1 MRD Detection
AI-Driven Quantitation of Blast Cells and Vessel Density in Bone Marrow Biopsies Highlights Limitations of Manual Assessment
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AI-Driven Quantitation of Blast Cells and Vessel Density in Bone Marrow Biopsies Highlights Limitations of Manual Assessment
ASH-G Bot: An Artificial Intelligent Chatbot Trained on the American Society of Hematology (ASH) Guidelines
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ASH-G Bot: An Artificial Intelligent Chatbot Trained on the American Society of Hematology (ASH) Guidelines
Age-Stratified Game-Theory-Informed Machine Learning of Molecular Alterations Unveils Prognostic Divergence in 3062 Pediatric and Adult Acute Myeloid Leukemia Patients
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Age-Stratified Game-Theory-Informed Machine Learning of Molecular Alterations Unveils Prognostic Divergence in 3062 Pediatric and Adult Acute Myeloid Leukemia Patients
Clinical Utility of Rapid and Comprehensive Genome Profiling Method Using Nanopore Sequencer for Pediatric Leukemia
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Clinical Utility of Rapid and Comprehensive Genome Profiling Method Using Nanopore Sequencer for Pediatric Leukemia
DeepSurf2-FF: Introducing Force Fields in Deep Learning for Improving in-Silico Prediction of Bcr-Antigen Interactions in B Cell Lymphomas
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DeepSurf2-FF: Introducing Force Fields in Deep Learning for Improving in-Silico Prediction of Bcr-Antigen Interactions in B Cell Lymphomas
Development and Validation of Novel Machine Learning-Based Risk Scores for Multiple Myeloma: Insights from the Harmony Alliance Big Data Platform
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Development and Validation of Novel Machine Learning-Based Risk Scores for Multiple Myeloma: Insights from the Harmony Alliance Big Data Platform
Direct Method for Estimating the Fraction of T and B/Plasma Cell-Derived DNA
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Direct Method for Estimating the Fraction of T and B/Plasma Cell-Derived DNA
ICASA: An Interactive Comprehensive Atlas of Single Cells in AML from 82 Bone Marrow Samples
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ICASA: An Interactive Comprehensive Atlas of Single Cells in AML from 82 Bone Marrow Samples
Integrating Spatial Transcriptome, Single-Cell Sequencing and Histopathology Reveals Bone Marrow Spatial Heterogenous in AML Patients
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Integrating Spatial Transcriptome, Single-Cell Sequencing and Histopathology Reveals Bone Marrow Spatial Heterogenous in AML Patients
Leveraging AI for Predicting Genetic Alterations in Multiple Myeloma through Morphological Analysis of Bone Marrow Aspirates
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Leveraging AI for Predicting Genetic Alterations in Multiple Myeloma through Morphological Analysis of Bone Marrow Aspirates
Mapping the Spatial Proteome of Individual Leukemia Cells Undergoing Fludarabine Treatment
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Mapping the Spatial Proteome of Individual Leukemia Cells Undergoing Fludarabine Treatment
Mechanistic Learning Reveals the Reciprocal Cell Fate Transitions That Drive Disease Progression in B-Cell Acute Lymphoblastic Leukemia
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Mechanistic Learning Reveals the Reciprocal Cell Fate Transitions That Drive Disease Progression in B-Cell Acute Lymphoblastic Leukemia
Proposed Use of the Microfluidic Impedance Red Cell Assay (MIRCA) to Identify Individuals with Sickle Cell Disease in Need of Second Line Therapies
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Proposed Use of the Microfluidic Impedance Red Cell Assay (MIRCA) to Identify Individuals with Sickle Cell Disease in Need of Second Line Therapies
Self-Supervised Learning Based Characterization of Bone Marrow Biopsies for Enhanced Diagnosis of Hematologic Disorders
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Self-Supervised Learning Based Characterization of Bone Marrow Biopsies for Enhanced Diagnosis of Hematologic Disorders
Sickle Cell Anemia Impacts Brain Age in Children
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Sickle Cell Anemia Impacts Brain Age in Children
Systematic Identification of Gene-Drug Interactions Using an Advanced CRISPR Screening Platform to Predict Therapy Response across Cancer Types
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Systematic Identification of Gene-Drug Interactions Using an Advanced CRISPR Screening Platform to Predict Therapy Response across Cancer Types
Time Series Deep Neural Network Identifies Lymphoma Patients Suitable for CAR-T Cell Therapy Using EHR Data
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Time Series Deep Neural Network Identifies Lymphoma Patients Suitable for CAR-T Cell Therapy Using EHR Data
Unraveling Immunogenomic Features Germane to Pathobiology of Myelodysplastic Syndromes
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Unraveling Immunogenomic Features Germane to Pathobiology of Myelodysplastic Syndromes