Hematology

Leukemia

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

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Showing 1891-1911 of 6,572 articles
Predicting Parameter Change's Effect on Cellular Network Time Series

The cellular network provides convenient network access for ever-growing mobile phones. During the...

A Conformal Prediction Approach to Enhance Predictive Accuracy and Confidence in Machine Learning Application in Chronic Diseases.

Heterogeneity in chronic malignancies raises an increasing interest for the integration and study of...

Aug 2024 39176913
Causal Deep Learning for the Detection of Adverse Drug Reactions: Drug-Induced Acute Kidney Injury as a Case Study.

Causal Deep/Machine Learning (CDL/CML) is an emerging Artificial Intelligence (AI) paradigm. The com...

Aug 2024 39176914
Multimodal Analysis of White Blood Cell Differentiation in Acute Myeloid Leukemia Patients using a β-Variational Autoencoder

Biomedical imaging and RNA sequencing with single-cell resolution improves our understanding of wh...

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data

Single-cell RNA sequencing (scRNA-seq) data analysis is pivotal for understanding cellular heterog...

Predicting tumor mutation burden and VHL mutation from renal cancer pathology slides with self-supervised deep learning.

BACKGROUND: Tumor mutation burden (TMB) and VHL mutation play a crucial role in the management of pa...

Aug 2024 39166457
scHyper: reconstructing cell-cell communication through hypergraph neural networks.

Cell-cell communications is crucial for the regulation of cellular life and the establishment of cel...

Jul 2024 39276328
scGHSOM: Hierarchical clustering and visualization of single-cell and CRISPR data using growing hierarchical SOM

High-dimensional single-cell data poses significant challenges in identifying underlying biologica...

Application of m6A regulators to predict transformation from myelodysplastic syndrome to acute myeloid leukemia via machine learning.

Myelodysplastic syndrome (MDS) frequently transforms into acute myeloid leukemia (AML). Predicting t...

Jul 2024 38996166
Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks

Histopathological images are widely used for the analysis of diseased (tumor) tissues and patient ...

Can virtual staining for high-throughput screening generalize?

The large volume and variety of imaging data from high-throughput screening (HTS) in the pharmaceu...

Integrating machine learning and single-cell analysis to uncover lung adenocarcinoma progression and prognostic biomarkers.

The progression of lung adenocarcinoma (LUAD) from atypical adenomatous hyperplasia (AAH) to invasiv...

Jul 2024 38958577
Audio Cough Analysis by Parametric Modelling of Weighted Spectrograms to Interpret the Output of Convolutional Neural Networks.

This study explores the feasibility of employing eXplainable Artificial Intelligence (XAI) methodolo...

Jul 2024 40039086
Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers

Acute Leukemia is the most common hematologic malignancy in children and adolescents. A key method...

MMIL: A novel algorithm for disease associated cell type discovery

Single-cell datasets often lack individual cell labels, making it challenging to identify cells as...

Countrywide natural experiment reveals impact of built environment on physical activity

While physical activity is critical to human health, most people do not meet recommended guideline...

Prediction of gait recovery using machine learning algorithms in patients with spinal cord injury.

With advances in artificial intelligence, machine learning (ML) has been widely applied to predict f...

Jun 2024 38847729
A Diagnostic Model for Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods

Acute lymphoblastic leukemia (ALL) severity is determined by the presence and ratios of blast cell...

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