Hematology

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

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Machine learning versus clinical scoring systems for predicting poor wound healing after posterior surgery for thoracolumbar tuberculosis.

OBJECTIVE: Postoperative poor wound healing (PWH) is a significant complication following posterior ...

(3)
Jun 2026 42237328
Tissueformer: extending single-cell foundation models to predict population-level phenotypes.

BACKGROUND: Single-cell RNA sequencing technologies have enabled unprecedented insights into gene ex...

Jun 2026 42243667
Accurate prediction of mortality in children with sepsis: development and validation of an explainable model based on real-world data.

BACKGROUND: Sepsis remains the leading cause of in-hospital deaths among children, and there is curr...

(1)
Jun 2026 42237326
Fluorescence spectroscopy and machine learning methods for detection of Alzheimer's disease from circulating white blood cells.

BackgroundAlzheimer's disease (AD) is the most common cause of dementia whose prevalence is projecte...

Jun 2026 42231859
Single-cell sequencing in systemic lupus erythematosus.

BackgroundSystemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by hetero...

(1)
Jun 2026 42234448
Personalized Type 1 Diabetes Management: Reinforcement Learning-Based Insulin Dosing and Glucose Forecasting.

BACKGROUND: Optimizing insulin dosing and predicting future glucose levels for people with type 1 di...

Jun 2026 42234999
Diabetes Management Through Glucose Dynamics Analysis Network: A Novel Approach for Accurate Blood Glucose Level Forecasting.

BACKGROUND: Accurate real-time prediction of blood glucose (BG) levels is essential for improving in...

Jun 2026 42236259
An explainable meta-learned hybrid CNN-transformer model with dual attention for leukemia diagnosis from peripheral blood smears.

Acute Lymphoblastic Leukemia (ALL) is one of the most aggressive hematological malignancies, and its...

Jun 2026 42236788
Non-destructive detection of internal egg defects: Transmission imaging for blood spots and Vis-NIR spectroscopy for runny yolk.

Ensuring the internal quality of eggs is essential for food safety and industrial-scale grading. Whi...

Jun 2026 42308730
Development and early feasibility testing of machine-learning algorithms to non-invasively assess hemoglobin levels.

The HeMonitor study evaluated the feasibility and accuracy of non-invasive hemoglobin (Hb) assessmen...

(3)
Jun 2026 42230796
Early Prediction of Diabetic Macular Edema via Machine Learning Survival Analysis on Checkup Data.

PURPOSE: To predict the risk of diabetic macular edema (DME) onset and to identify features of the r...

(1)
Jun 2026 42437110
Landscape of T-cell bispecific antibodies in cancer therapy: therapeutic strategies, challenges and future prospection.

T-cell bispecific antibodies (TCBs), a specialized subclass of bispecific antibodies (BsAbs), are en...

Jun 2026 42226254
Generative Artificial Intelligence Optimization of Albumin Binders: Coumarin and Fatty Acid Derivatives.

Previously, we reported a dual combination based on 4-hydroxycoumarin and dodecanedioic acid that co...

(2)
Jun 2026 42226554
Development and validation of a machine learning model predicting post-tonsillectomy hemorrhage.

PURPOSE: To develop and validate machine learning models to predict post-tonsillectomy hemorrhage. M...

(1)
Jun 2026 42228100
Development of a new disseminated intravascular coagulation score tailored for patients with chronic liver disease: a prospective observational study.

BACKGROUND: Diagnosing disseminated intravascular coagulation (DIC) in patients with chronic liver d...

Jun 2026 42229806
Diagnosis and classification of thalassemia disease using machine learning: Comparative analysis of traditional models and a novel hybrid approach.

Thalassemia is a hereditary blood disorder characterized by abnormal hemoglobin production. Common d...

Jun 2026 42220235
Population-Level Raman Biochemical Staging of Malaria in Human Red Blood Cells Using Interpretable Machine Learning.

Accurate malaria staging is vital for treatment decisions and monitoring of transmission. Because ma...

Jun 2026 42224660
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