Results 61 to 70 of about 428,991 (272)
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He +8 more
wiley +1 more source
Label-free classification of cells based on supervised machine learning of subcellular structures.
It is demonstrated that cells can be classified by pattern recognition of the subcellular structure of non-stained live cells, and the pattern recognition was performed by machine learning. Human white blood cells and five types of cancer cell lines were
Yusuke Ozaki +15 more
doaj +1 more source
We overview an approach to providing automated three-dimensional (3D) sensing and recognition of biological micro/nanoorganisms integrating Gabor digital holographic microscopy and statistical sampling methods.
Inkyu Moon, Faliu Yi, Bahram Javidi
doaj +1 more source
Automated Synchronization of Driving Data Using Vibration and Steering Events
We propose a method for automated synchronization of vehicle sensors useful for the study of multi-modal driver behavior and for the design of advanced driver assistance systems. Multi-sensor decision fusion relies on synchronized data streams in (1) the
Abdić, Irman +5 more
core +1 more source
Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad +12 more
wiley +1 more source
Self-Explaining Neural Networks for Food Recognition and Dietary Analysis
Food pattern recognition plays a crucial role in modern healthcare by enabling automated dietary monitoring and personalised nutritional interventions, particularly for vulnerable populations with complex dietary needs.
Zvinodashe Revesai, Okuthe P. Kogeda
doaj +1 more source
An inverse problem approach to pattern recognition in industry
Many works have shown strong connections between learning and regularization techniques for ill-posed inverse problems. A careful analysis shows that a rigorous connection between learning and regularization for inverse problem is not straightforward. In
Ali Sever
doaj +1 more source
Automated Quantitative Description of Spiral Galaxy Arm-Segment Structure [PDF]
We describe a system for the automatic quantification of structure in spiral galaxies. This enables translation of sky survey images into data needed to help address fundamental astrophysical questions such as the origin of spiral structure---a ...
Davis, Darren, Hayes, Wayne
core
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
wiley +1 more source
Visual Recognition Software for Binary Classification and Its Application to Spruce Pollen Identification. [PDF]
Discriminating between black and white spruce (Picea mariana and Picea glauca) is a difficult palynological classification problem that, if solved, would provide valuable data for paleoclimate reconstructions.
David K Tcheng +3 more
doaj +1 more source

