Latest AI and machine learning research in leukemia for healthcare professionals.
INTRODUCTION: Cancer is a disease with a global burden and is a major and increasing threat to public health. The demand for new modalities to treat and prevent cancer is high. Given the toxic side effects of standard treatments, such as chemotherapy, there is greater research interest in naturally derived compounds due to their selective toxicity to cancer cells. This study aimed to test the anti...
Recent advances in computing power and machine learning empower functional annotation of protein sequences and their transcript variations. Here, we present an automated prediction system UniGOPred, for GO annotations and a database of GO term predictions for proteomes of several organisms in UniProt Knowledgebase (UniProtKB). UniGOPred provides function predictions for 514 molecular function (MF)...
BACKGROUND: High-throughput technologies produce huge amounts of heterogeneous biological data at all cellular levels. Structuring these data together...
To determine the degree of cancer cell killing after treatment with chemotherapeutic drugs, we have developed a sensitive platform using localized sur...
Bone perfusion evaluation methods in cadaver studies have yet to be established. The aim of this report was to introduce and validate the feasibility ...
A 37-year-old woman presented with progressive longitudinal erythronychia and onychorrhexis of the toenails. She had a history of sarcoidosis of the l...
Short treatment duration of ledipasvir/sofosbuvir (LDV/SOF) has been successfully used to treat hepatitis C virus (HCV) genotype 1 infection in treatm...
Purpose To compare the performance of a deep-learning bone age assessment model based on hand radiographs with that of expert radiologists and that of...
The purpose of this study was to determine the physical compatibility of micafungin with commonly used concentrations of sodium bicarbonate hydration...
Renal dysfunction is a common side-effect of chemotherapeuticagents in patients with hematopathy. Although broadly used, glomerularfiltration rate (GF...
This study investigated a lycopene-rich extract from red guava (LEG) for its chemical composition using spectrophotometry, mass spectrometry, attenuat...
Chronic liver disease patients often have complications, such as hepatocellular carcinoma (HCC) and acute bacterial infection. Model for end-stage liv...
This single arm pre-post study aimed at evaluating the acute effects induced by a single session of robot-assisted passive hand mobilization on local ...
Using kernel machine learning (ML) and random optimization (RO) techniques, we recently developed a set of venous thromboembolism (VTE) risk predictor...
Proteins are the macromolecules responsible for almost all biological processes in a cell. With the availability of large number of protein sequences ...
Cross-sectional X-ray imaging has become the standard for staging most solid organ malignancies. However, for some malignancies such as urinary bladde...
The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in...
Response surface methodology (RSM) was applied to predict the processing parameters of the casein-glucose/galactose Maillard reaction (MR) for determi...
A sensitive, rapid, simple and economical ultra-performance liquid chromatography-tandem mass spectrometric method (UPLC-MS/MS) was developed and vali...
The NusB-NusE protein-protein interaction (PPI) is critical to the formation of stable antitermination complexes required for stable RNA transcription...