Hematology

Leukemia

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

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MRI-based attenuation correction for brain PET/MRI based on anatomic signature and machine learning.

Deriving accurate attenuation maps for PET/MRI remains a challenging problem because MRI voxel inten...

Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting.

Positron emission tomography (PET) imaging is a useful tool for assisting in correct differentiatio...

Accuracy of robot-assisted versus optical frameless navigated stereoelectroencephalography electrode placement in children.

OBJECTIVE The aim of this study was to compare the accuracy of optical frameless neuronavigation (ON...

Prediction of matrix metal proteinases-12 inhibitors by machine learning approaches.

Matrix metal proteinases-12 (MMP-12) is a hot pharmaceutical target on the treatment of many human d...

Prediction of cancer using customised fuzzy rough machine learning approaches.

This Letter proposes a customised approach for attribute selection applied to the fuzzy rough quick ...

Multifunctional luminescent immuno-magnetic nanoparticles: toward fast, efficient, cell-friendly capture and recovery of circulating tumor cells.

Highly efficient isolation and recovery of viable circulating tumor cells (CTCs) from the blood of p...

Automated detection of erythema migrans and other confounding skin lesions via deep learning.

Lyme disease can lead to neurological, cardiac, and rheumatologic complications when untreated. Time...

In vitro protein tyrosine phosphatase 1B inhibition and antioxidant property of different onion peel cultivars: A comparative study.

The aim of the present study was a comparative investigation of water and 70% ethanol extracts deriv...

Self-limited single nanowire systems combining all-in-one memristive and neuromorphic functionalities.

The ability for artificially reproducing human brain type signals' processing is one of the main cha...

The effects of short-term use of granulocyte colony-stimulating factor on bone metabolism in child cancer patients.

OBJECTIVE: The granulocyte colony-stimulating factor (G-CSF) is the most commonly used hematopoietic...

Design and Synthesis of Imidazo/Benzimidazo[1,2-]quinazoline Derivatives and Evaluation of Their Antimicrobial Activity.

A new class of fused quinazolines has been designed and synthesized via copper-catalyzed Ullmann typ...

Dynamic changes in specific anti-L-asparaginase antibodies generation during acute lymphoblastic leukemia treatment.

BACKGROUND: L-asparaginase (L-asp) remains one of the key components of acute lymphoblastic leukemia...

The RSNA Pediatric Bone Age Machine Learning Challenge.

Purpose The Radiological Society of North America (RSNA) Pediatric Bone Age Machine Learning Challen...

Versatility of fuzzy logic in chronic diseases: A review.

The review aims at providing current state of evidence in the field of medicine with fuzzy logic for...

Predicting chemo-brain in breast cancer survivors using multiple MRI features and machine-learning.

PURPOSE: Breast cancer (BC) is the most common cancer in women worldwide. There exist various advanc...

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks.

Magnetic resonance imaging (MRI) has been proposed as a complimentary method to measure bone quality...

Classification of acute lymphoblastic leukemia using deep learning.

Acute Leukemia is a life-threatening disease common both in children and adults that can lead to dea...

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