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Blood

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In Vitro Evaluation of the Fresenius Kabi CATSmart Autotransfusion System.

The journal of extra-corporeal technology
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...

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

BMC medical informatics and decision making
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...

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

Malaria journal
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...

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

Journal of gastroenterology and hepatology
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...

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

Communications biology
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...

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

The Journal of pathology
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...

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

Computer methods in biomechanics and biomedical engineering
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...