Hematology

Latest AI and machine learning research in hematology for healthcare professionals.

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DATA-DRIVEN IDENTIFICATION OF SEX DIFFERENCES IN CEREBRAL BLOOD FLOW USING ARTERIAL SPIN LABELLING AND EXPLAINABLE ARTIFICIAL INTELLIGENCE

Purpose: To investigate sex differences in cerebral blood flow through densely parcellated cortical ...

Hierarchical classification of hematologic malignancies using epigenetic and genetic information

Molecular testing in hematology requires different assays for disease subgroup identification, risk ...

AI-enabled Spatial Profiling of Circulating Tumor-Immune Ecosystems Predicts Patient Outcomes Across Cancers

Circulating tumor cells (CTCs) and immune cells form dynamic multicellular ecosystems in blood, but ...

Dual-Correlation Hypergraph Network for Unaligned RGBT Video Object Detection and A Large-scale Benchmark

RGB-Thermal (RGBT) Video Object Detection (VOD) has gained significant traction due to its ability t...

Determinants of Blood Group Antigen Expression and Prediction of Phenotypes by Machine Learning

Blood group antigens, defined by epitopes on the erythrocyte surface, are central to transfusion saf...

Emergency Department Presenting Concerns Among Admissions With Hypercapnia: A Retrospective NLP Study of MIMIC-IV

Background Hypercapnia may indicate a primary ventilatory syndrome, a complication of another illnes...

Association between glycated hemoglobin A1c and automated abdominal aortic calcification: the UK Biobank Imaging Study

Background: Poor glycemic control is associated with cardiovascular disease (CVD) risk. However, it ...

LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models

Personalizing text-to-image diffusion models to render several specific subjects in a coherent image...

LeukocyteCount: Automatic Identification and Counting for leukocytes using Deep Learning

Diagnosing and monitoring diseases frequently involves the analysis of human biological samples, wit...

Safe Redosable Low-Immunogenic In Vivo CAR-T Therapy for B Cell Malignancies and Solid Tumors

In vivo CAR-T cell therapy eliminates manufacturing complexities associated with ex vivo autologous ...

Can a Tissue-derived Progression Signature Accurately Predict Colorectal Cancer Stage Transitions in Blood?

Abstract. Colorectal cancer (CRC) is challenging to track because its molecular changes are very com...

eRNAformer enables genome-wide de novo mapping of enhancer-derived RNA loci

Enhancer-derived RNAs (eRNAs) are critical regulators of gene transcription, yet their genome-wide a...

Development and Validation of Machine Learning Models for Predicting Initiation of Emergency Dialysis in Advanced Chronic Kidney Disease

BackgroundInitiation of emergency dialysis, often requiring temporary catheter owing to unprepared d...

Multilingual Hematology Visual Question Answering Dataset

Vision Language Models (VLMs) have shown promising capabilities in medical image analysis by jointly...

Cumulative Metabolic Exposure to Hyperglycemia and Risk of Cardiovascular and Limb Events in Peripheral Artery Disease

Background: Although diabetes is a potent risk factor for the development of peripheral artery disea...

EventHorizon: A Foundation Model for Clinical Flow Cytometry

Flow cytometry is an essential tool for diagnosis of hematologic malignancies, but existing clinical...

Machine learning evaluation of gene expression-based ALS subtypes across brain and blood tissues

The clinical and molecular heterogeneity observed in amyotrophic lateral sclerosis (ALS) presents a ...

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