AIMC Topic: Blood

Clear Filters Showing 1 to 7 of 7 articles

Dragonfly algorithm-support vector machine approach for prediction the optical properties of blood.

Computer methods in biomechanics and biomedical engineering Jun 28, 2023
Knowledge of the optical properties of blood plays important role in medical diagnostics and therapeutic applications in laser medicine. In this paper, we present a very rapid and accurate artificial intelligent approach using Dragonfly Algorithm/Sup...
Humans Hematocrit Blood Algorithms Support Vector Machine
View on PubMed DOI

Optical mesoscopy, machine learning, and computational microscopy enable high information content diagnostic imaging of blood films.

The Journal of pathology Jun 29, 2021
Automated image-based assessment of blood films has tremendous potential to support clinical haematology within overstretched healthcare systems. To achieve this, efficient and reliable digital capture of the rich diagnostic information contained wit...
Blood Diagnostic Imaging Microscopy Humans Machine Learning
View on PubMed DOI

Machine learning assistive rapid, label-free molecular phenotyping of blood with two-dimensional NMR correlational spectroscopy.

Communications biology Sep 28, 2020
Translation of the findings in basic science and clinical research into routine practice is hampered by large variations in human phenotype. Developments in genotyping and phenotyping, such as proteomics and lipidomics, are beginning to address these...
Blood Proteins Oxygen Machine Learning Phenotype Magnetic Resonance Spectroscopy Blood Erythrocytes Point-of-Care Testing Blood Chemical Analysis Hemoglobins
View on PubMed DOI

Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network.

Journal of gastroenterology and hepatology Dec 27, 2019
BACKGROUND AND AIM: Detecting blood content in the gastrointestinal tract is one of the crucial applications of capsule endoscopy (CE). The suspected blood indicator (SBI) is a conventional tool used to automatically tag images depicting possible ble...
Intestine, Small Blood Area Under Curve Capsule Endoscopy Retrospective Studies Sensitivity and Specificity Deep Learning ROC Curve Humans Neural Networks, Computer
View on PubMed DOI

Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis.

Malaria journal May 30, 2019
BACKGROUND: The propensity of different Anopheles mosquitoes to bite humans instead of other vertebrates influences their capacity to transmit pathogens to humans. Unfortunately, determining proportions of mosquitoes that have fed on humans, i.e. Hum...
Blood Animals Logistic Models Chickens Spectrophotometry, Infrared Malaria Humans Goats Vertebrates Feeding Behavior Anopheles Female Supervised Machine Learning Mosquito Vectors Host Specificity
View on PubMed DOI

A rank weighted classification for plasma proteomic profiles based on case-based reasoning.

BMC medical informatics and decision making May 31, 2018
BACKGROUND: It is a challenge to precisely classify plasma proteomic profiles into their clinical status based solely on their patterns even though distinct patterns of plasma proteomic profiles are regarded as potential to be a biomarker because the...
Medical Informatics Blood Proteomics Artificial Intelligence Humans Proteome Biomarkers
View on PubMed DOI

In Vitro Evaluation of the Fresenius Kabi CATSmart Autotransfusion System.

The journal of extra-corporeal technology Jun 1, 2017
Use of autotransfusion systems to collect, wash, and concentrate shed blood during surgical procedures is a widely used method for reducing postoperative anemia and the need for blood transfusions. The aim of this study was to evaluate the CATSmart C...
Blood Equipment Failure Analysis Blood Component Removal Robotics Blood Cells Operative Blood Salvage Humans Specimen Handling Equipment Design Blood Transfusion, Autologous
View on PubMed
Popular Topics
Recent Journals