Hematology

Leukemia

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

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Artificial Intelligence Prediction of Age from Echocardiography as a Marker for Cardiovascular Disease

Accurate understanding of biological aging and the impact of environmental stressors is crucial for ...

Computational characterization of lymphocyte topology on whole slide images of glomerular diseases

The complexity of distribution of inflammatory cells in the kidney is not well captured by conventio...

Discovery of Dynamic Models for AML Disease Progression from Longitudinal Multi-Modal Clinical Data Using Explainable Machine Learning

Acute Myeloid Leukemia (AML) is a complex and heterogeneous disease identified by severe clinical pr...

Human-level information extraction from clinical reports with fine-tuned language models

Extracting structured data from clinical notes remains a key bottleneck in clinical research. We hyp...

Steady state haemolysis and cytoprotective protein levels in African children with sickle cell disease

Sub-Saharan Africa bears the highest burden of all Sickle Cell disease births worldwide. Chronic hae...

Deep Learning on Histopathological Images to Predict Breast Cancer Recurrence Risk and Chemotherapy Benefit

Genomic testing has transformed treatment decisions for hormone receptor-positive, HER2-negative (HR...

Transcriptomics-Driven Machine Learning Models Accurately Predict Chemotherapy Response in Muscle-invasive Bladder Cancer

Muscle-invasive bladder cancer (MIBC) is associated with poor predictability of response to cisplati...

Gaps in Artificial Intelligence Research for Rural Health in the United States: A Scoping Review

Artificial intelligence (AI) has impacted healthcare at urban and academic medical centers globally....

Network-Based Stratification Refines Stratification of Intermediate-Risk Acute Myeloid Leukemia Samples

The European LeukemiaNet (ELN) risk stratification of acute myeloid leukemia (AML) uses genetic and ...

Personalized, closed-loop deep brain stimulation for chronic pain

Chronic pain is a major healthcare problem associated with maladaptive brain circuit changes - many ...

Predicting Near-term Mortality in Heart Failure: External Validation of Electronic Health Record-Based Deep Learning Model

The dire consequences of heart failure (HF) patient non-response to guideline directed medical thera...

Acute myeloid leukemia risk stratification in younger and older patients through transcriptomic machine learning models

Acute Myeloid Leukemia (AML) is a genetically and clinically heterogeneous disease that can develop ...

Integration of Gene Expression and Digital Histology to Predict Treatment-Specific Responses in Breast Cancer

Deep learning models applied to digital histology can predict gene expression signatures (GES) and o...

Evaluating Accuracy and Reasoning Capabilities of Large Language Models for Acute Ischemic Stroke Management

Acute ischemic stroke (AIS) management has evolved substantially over the past two decades, with mec...

Causal Machine Learning Analysis of All-Cause Mortality in Japanese Atomic-Bomb Survivors

The health consequences of ionizing radiation have long been studied, yet significant uncertainties ...

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