AIMC Topic: Neutrophils
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Large-Scale Multi-omic Analysis of COVID-19 Severity.
Cell systems
Oct 8, 2020
We performed RNA-seq and high-resolution mass spectrometry on 128 blood samples from COVID-19-positive and COVID-19-negative patients with diverse disease severities and outcomes. Quantified transcripts, proteins, metabolites, and lipids were associa...
Calculation of immune cell proportion from batch tumor gene expression profile based on support vector regression.
Journal of bioinformatics and computational biology
Aug 21, 2020
In addition to tumor cells, a large number of immune cells are found in the tumor microenvironment (TME) of cancer patients. Tumor-infiltrating immune cells play an important role in tumor progression and patient outcome. We improved the relative pro...
Intelligent image-based deformation-assisted cell sorting with molecular specificity.
Nature methods
May 25, 2020
Although label-free cell sorting is desirable for providing pristine cells for further analysis or use, current approaches lack molecular specificity and speed. Here, we combine real-time fluorescence and deformability cytometry with sorting based on...
Bioinspired Soft Microrobots with Precise Magneto-Collective Control for Microvascular Thrombolysis.
Advanced materials (Deerfield Beach, Fla.)
May 20, 2020
New-era soft microrobots for biomedical applications need to mimic the essential structures and collective functions of creatures from nature. Biocompatible interfaces, intelligent functionalities, and precise locomotion control in a collective manne...
Convolutional Neural Networks-Based Image Analysis for the Detection and Quantification of Neutrophil Extracellular Traps.
Cells
Feb 24, 2020
Over a decade ago, the formation of neutrophil extracellular traps (NETs) was described as a novel mechanism employed by neutrophils to tackle infections. Currently applied methods for NETs release quantification are often limited by the use of unspe...
Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction.
Scientific data
Dec 19, 2019
The immune response to major trauma has been analysed mainly within post-hospital admission settings where the inflammatory response is already underway and the early drivers of clinical outcome cannot be readily determined. Thus, there is a need to ...
Machine Learning to Quantitate Neutrophil NETosis.
Scientific reports
Nov 15, 2019
We introduce machine learning (ML) to perform classification and quantitation of images of nuclei from human blood neutrophils. Here we assessed the use of convolutional neural networks (CNNs) using free, open source software to accurately quantitate...
White blood cells detection and classification based on regional convolutional neural networks.
Medical hypotheses
Nov 4, 2019
White blood cells (WBC) are important parts of our immune system and they protect our body against infections by eliminating viruses, bacteria, parasites and fungi. There are five types of WBC. These are called Lymphocytes, Monocytes, Eosinophils, Ba...
Serum Procalcitonin and Presepsin Levels in Patients with Generalized Pustular Psoriasis.
Disease markers
Dec 16, 2018
Patients with generalized pustular psoriasis (GPP) often present with symptoms that must be differentiated from sepsis. Procalcitonin (PCT) and presepsin (P-SEP) are widely used as biomarkers for sepsis; therefore, we examined the serum PCT and P-SEP...
Procalcitonin as Predictor of Bacterial Infection in Meconium Aspiration Syndrome.
American journal of perinatology
Dec 29, 2017
BACKGROUND: There is a lack of definite consensus on indications for initiating antibiotics in neonates with meconium aspiration syndrome (MAS), instigating researchers to search for a biomarker that can help differentiate MAS from MAS with bacterial...
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