Hematology

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

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The urinary-metabolite-based lung cancer index (uLCI): an interpretable machine-learning risk model for early-stage disease

BackgroundFive-year survival from lung cancer exceeds 60% at stage I-II but falls below 10% once met...

Retrieval-Augmented Large Language Models for Clinically Aligned Adverse Event Coding in Acute Myeloid Leukemia Clinical Trials

Background: Adverse event (AE) coding is essential for safety monitoring in oncology clinical trials...

Deep learning-based identification and quantification of rare circulating hybrid cells in orthotopic pancreatic cancer models

Significance: Rare-cell identification in fluorescence microscopy remains challenging because target...

Harnessing Pathology Foundation Models to Accelerate Lymphoma Diagnosis Through Automated Immunohistochemistry Triage

Pathologic diagnoses of hematopoietic diseases require immunohistochemistry (IHC) stains selected by...

Deep Learning of Fluorescence Lifetime Imaging Ophthalmoscopy for Type 2 Diabetes Classification

Purpose: To evaluate whether fluorescence lifetime imaging ophthalmoscopy (FLIO) combined with deep ...

Geometry-Informed Parameter-Efficient Fine-Tuning of Pre-trained Molecular GNNs for Blood-Brain Barrier Permeability Prediction

Blood-brain barrier permeability (BBBP) prediction is a critical screening task in central nervous s...

First Investigation of Deep Learning for Intraoperative Gauze Segmentation in Minimally Invasive Abdominal Surgery

Surgical gauze is an essential part of surgical procedures, primarily used for controlling bleeding ...

Interpretable Machine Learning to Improve Donor-Recipient Matching at Time of Heart Transplantation

BACKGROUND: Machine learning (ML) models have been used to evaluate one-year post-transplant mortali...

Group Equivariant Diffusion for Anomaly Detection in Computational Cytology

Computational cytology on whole-slide images is challenging because malignant cells are rare, hetero...

An explainable transformer model learning from entire treatment timelines for pan-cancer risk profiling across healthcare systems

Cancer outcomes vary widely between individual patients, each accumulating an irregular record of tr...

Deep learning enables cross-species annotation and attribution of ageing states in haematopoietic stem and immune cells

Cross-species transfer is a central bottleneck in single-cell ageing research: mouse studies provide...

Single-cell foundation models predict durable CAR T response despite imperfect cell annotation

CD19 targeted chimeric antigen receptor (CAR) T cell therapy achieves high initial response rates in...

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes

Preprocessing blood glucose time-series data is a critical yet often overlooked step in developing d...

Interpretable Peripheral Blood Cell Classification via Vision-Language Concept Bottleneck and Soft Decision Tree

Motivation: Deep learning classifiers for medical image analysis typically function as black boxes, ...

Machine learning models to improve targeting of blood culture testing

Background Bloodstream infections are a major cause of mortality, yet the primary testing method, bl...

Validating Artificial Intelligence Guidance for Ultrasound Acquisition and Remote Interpretation

Background: Venous thromboembolism (VTE), including deep vein thrombosis (DVT), remains a major glob...

Transient Apical Sparing in Hypertensive Heart Disease Explained by Laplace's Law

Background: Apical sparing of left ventricular longitudinal strain (LS) is an echocardiographic clue...

MAGE: Color-Invariant and Spatial Knowledge Distillation for Gastric Neoplasm Classification

Accurate differentiation between gastric adenoma and carcinoma during endoscopy is critical for clin...

Automated Phenotypic Characterization in Rare Hematologic Malignancies Using a Large Language Model-Based Framework

Background. Diagnosis and risk stratification in rare hematologic malignancies such as myeloprolifer...

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