Hematology

Leukemia

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

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Investigating AI Approaches for Survival Prediction in Chronic Lymphocytic Leukemia.

Chronic lymphocytic leukemia (CLL) exhibits a heterogeneous clinical course. Prognostic markers that...

Leveraging Convolutional Neural Networks for Predicting Symptom Escalation in Chemotherapy Patients: A Temporal Resampling Approach.

This paper introduces a novel approach for predicting symptom escalation in chemotherapy patients by...

Epidemiology characteristics and clinical outcomes of composite Hodgkin lymphoma and diffuse large B-cell lymphoma using machine learning.

Composite lymphoma (CL) is rare. We conducted an analysis of 53 329 cases of diffuse large B-cell ly...

Machine Learning Unveils Sphingolipid Metabolism's Role in Tumour Microenvironment and Immunotherapy in Lung Cancer.

TME is a core player in the development of a cancerous lesion, the immune evasive potential of the l...

A deep learning model trained on expressed transcripts across different tissue types reveals cell-type codon-optimization preferences.

Species-specific differences in protein translation can affect the design of protein-based drugs. Co...

Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome.

BACKGROUND AND AIMS: The importance of risk stratification in patients with chest pain extends beyon...

BAMBI integrates biostatistical and artificial intelligence methods to improve RNA biomarker discovery.

RNA biomarkers enable early and precise disease diagnosis, monitoring, and prognosis, facilitating p...

Towards Diagnostic Intelligent Systems in Leukemia Detection and Classification: A Systematic Review and Meta-analysis.

OBJECTIVE: Leukemia is a type of blood cancer that begins in the bone marrow and results in high num...

[Construction and preliminary validation of machine learning predictive models for cervical cancer screening based on human DNA methylation].

Using methylation characteristics of human genes to construct machine learning predictive models fo...

A Serial MRI-based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.

Purpose To develop and evaluate a deep learning-based prognostic model for predicting survival in lo...

AI for all: bridging data gaps in machine learning and health.

Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transfor...

An efficient leukemia prediction method using machine learning and deep learning with selected features.

Leukemia is a serious problem affecting both children and adults, leading to death if left untreated...

All-Cause Mortality Risk in Elderly Patients with Femoral Neck and Intertrochanteric Fractures: A Predictive Model Based on Machine Learning.

INTRODUCTION: The aim of this study was to identify the influencing factors for all-cause mortality ...

Deep learning based semantic segmentation of leukemia effected white blood cell.

Medical image segmentation has numerous applications in diagnosing different diseases. Various types...

Using Supervised Machine Learning Algorithms to Predict Bovine Leukemia Virus Seropositivity in Florida Beef Cattle: A 10-Year Retrospective Study.

BACKGROUND: Bovine leukemia virus (BLV) infection in beef cattle has received less attention than in...

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