Hematology

Leukemia

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

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Convergence and Multistability of Nonsymmetric Cellular Neural Networks With Memristors.

Recent work has considered a class of cellular neural networks (CNNs) where each cell contains an id...

The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins.

Genomics, epigenomics, transcriptomics, proteomics and metabolomics efforts rapidly generate a pleth...

Hybrid-Actuating Macrophage-Based Microrobots for Active Cancer Therapy.

Using macrophage recruitment in tumors, we develop active, transportable, cancer theragnostic macrop...

Powered robotic exoskeletons in post-stroke rehabilitation of gait: a scoping review.

Powered robotic exoskeletons are a potential intervention for gait rehabilitation in stroke to enabl...

Multipolar Electrostatic Energy Prediction for all 20 Natural Amino Acids Using Kriging Machine Learning.

A machine learning method called kriging is applied to the set of all 20 naturally occurring amino a...

Ontology-based collection, representation and analysis of drug-associated neuropathy adverse events.

BACKGROUND: Neuropathy often occurs following drug treatment such as chemotherapy. Severe instances ...

Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets.

Non-Boolean computing based on emerging post-CMOS technologies can potentially pave the way for low-...

All Spin Artificial Neural Networks Based on Compound Spintronic Synapse and Neuron.

Artificial synaptic devices implemented by emerging post-CMOS non-volatile memory technologies such ...

Application of self-organising maps towards segmentation of soybean samples by determination of amino acids concentration.

Soybeans are widely used both for human nutrition and animal feed, since they are an important sourc...

Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database.

Strategies for discovering common molecular events among disparate diseases hold promise for improvi...

Investigation of the mutagenic and genotoxic activities of LLL-3, a STAT3 inhibitor.

LLL-3, an anthracene derived compound, has been shown to be a promising therapeutic agent for the tr...

Protective effect of ginsenosides Rk3 and Rh4 on cisplatin-induced acute kidney injury and .

BACKGROUND: Nephrotoxicity is the major side effect in cisplatin chemotherapy. Previously, we report...

Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks.

Deep learning methods are currently outperforming traditional state-of-the-art computer vision algor...

An all-joint-control master device for single-port laparoscopic surgery robots.

PURPOSE: Robots for single-port laparoscopic surgery (SPLS) typically have all of their joints locat...

Machine learning-based classification of diffuse large B-cell lymphoma patients by eight gene expression profiles.

Gene expression profiling (GEP) had divided the diffuse large B-cell lymphoma (DLBCL) into molecular...

SNRFCB: sub-network based random forest classifier for predicting chemotherapy benefit on survival for cancer treatment.

Adjuvant chemotherapy (CTX) should be individualized to provide potential survival benefit and avoid...

Postural Changes in Measures of Arterial Stiffness in Hypertensive Subjects on Antihypertensive Drug Therapy: A Prospective, Pilot Study.

Prospective study with a controlled arm to know if there are variations of measures of arterial stif...

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