Hematology

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

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War, Diets, and Mental Health: PTSD in Ukrainian Youth

The ongoing war in Ukraine has exposed young adults to sustained psychological stress, elevating the...

Deep learning predicts cardiac output from seismocardiographic signals in heart failure

Determination of cardiac output (CO) is essential to the clinical management of cardiovascular compr...

Multilevel predictors categorization for post-CABG atrial fibrillation prediction

Postoperative atrial fibrillation (PoAF) is known as common coronary artery bypass grafting (CABG) c...

Genetic regulation of cell type–specific chromatin accessibility shapes immune function and disease risk

Understanding how genetic variation influences gene regulation at the single-cell level is crucial f...

External Validation of a Machine Learning Model to Predict Postpartum Hemorrhage in a US Northeastern Healthcare System

Postpartum hemorrhage (PPH) is a major cause of maternal morbidity and mortality. Timely prediction ...

Application of Machine Learning (ML) to Predict Under-Five Anemia using the 2018 Zambia Demographic and Health Survey (ZDHS)

Accurate prediction of the risk of anemia in under five children using ML can help reduce the burden...

Bridging Computational and Clinical Strategies to Improve Presurgical Identification of Epileptogenic Networks

About one third of epilepsy patients are drug-resistant. Resective surgery remains a key treatment o...

Incidence, Outcomes and Risk Factors of Cardiac Arrest Among Surgical Patients in the UK Biobank: A Population-Based Cohort Study

Perioperative cardiac arrest (CA) is a devastating surgical complication, yet its epidemiology and r...

Characterizing and Predicting End-of-Life Patient Trajectories Using Routine Clinical Data

Understanding the biological processes that precede death is critical for making informed clinical d...

Epigenetic patient stratification reveals a sub-endotype of type 2 asthma with altered B-cell response

Despite biomarker-guided treatment strategies, clinical outcomes among patients with type 2 (T2)-hig...

Scalable Deep Learning of Histology Images Reveals Genetic and Phenotypic Determinants of Adipocyte Hypertrophy

White adipose tissue dysfunction has emerged as a critical factor in cardiometabolic disease develop...

An Indicator Cell Assay-based Multivariate Blood Test for Early Detection of Alzheimer’s Disease

The indicator cell assay platform (iCAP) is a novel next-generation approach for blood-based diagnos...

Bayesian machine learning enables discovery of risk factors for hepatosplenic multimorbidity related to schistosomiasis

One in 25 deaths worldwide is related to liver disease, and often with multiple hepatosplenic condit...

Genomic Classification of Acute Lymphoblastic Leukemia Using AI: Towards Personalized Medicine

Acute lymphoblastic leukemia is a highly heterogeneous hematologic malignancy that poses significant...

Breath-Based Monitoring of High Cholesterol State and Statin Therapy

Monitoring the effectiveness of statin therapy in patients with dyslipidemia is essential for ensuri...

Early Diagnosis and Prognostic Prediction of Colorectal Cancer through Plasma Methylation Regions

Cell-free DNA (cfDNA) methylation is a valuable biomarker in various cancers including colorectal ca...

Two-Stage Machine Learning Based Prediction of Thrombophilia Management

Thrombophilia diagnosis and management rely on the nuanced interpretation of clinical history, risk ...

Clinical trials in depression: Integrated collection across EU and US registries

Depression affects millions worldwide with both pharmacological and psychological therapies widely a...

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