Latest AI and machine learning research in hematology for healthcare professionals.
We aimed to assess feasibility of a support vector machine (SVM) texture classifier to discriminate ...
Iron deficiency (ID) is one of the most common nutritional problems in the developing world, affecti...
PURPOSE: We aimed to develop an ovarian cancer-specific predictive framework for clinical stage, his...
Digital pathology and microscope image analysis is widely used in comprehensive studies of cell morp...
Robot-assisted simple prostatectomy (RASP) performed with the extraperitoneal (EP) technique (RASP-...
Apixaban, an inhibitor of direct factor Xa, is used for the treatment of venous thromboembolic event...
Blood-based diagnostics tests, using individual or panels of biomarkers, may revolutionize disease d...
Cell classification, especially that of white blood cells, plays a very important role in the field ...
Systems biology requires not only genome-scale data but also methods to integrate these data into in...
The health and function of tissue rely on its vasculature network to provide reliable blood perfusio...
Most paraquat (PQ) poisoned patients died from acute multiple organ failure (MOF) such as lung, kidn...
White blood cells play a vital role in monitoring health condition of a person. Change in count and/...
In medicine, retinal vessel analysis of fundus images is a prominent task for the screening and diag...
BACKGROUND: Blood pressure diseases have increasingly been identified as among the main factors thre...
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduct...
The cytokinesis-block micronucleus (CBMN) assay has become a fully-validated and standardized method...
This work describes the development of a pressure-sensing array for noninvasive continuous blood pul...
We hypothesized that blood lactate concentration([Lac]) is a function of cardiopulmonary variables, ...
BACKGROUND: Patients with a history of Helicobacter pylori-negative idiopathic bleeding ulcers have ...
Artificial neural networks are machine-learning algorithms designed to analyse data without a pre-ex...
Zebrafish embryo fluorescent vessel analysis, which aims to automatically investigate the pathogenes...