AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Cell Count

Showing 61 to 64 of 64 articles

Clear Filters

Effects of bovine subclinical mastitis caused by Corynebacterium spp. on somatic cell count, milk yield and composition by comparing contralateral quarters.

Veterinary journal (London, England : 1997)
Subclinical mastitis caused by Corynebacterium spp. (as a group and at the species level) was investigated by evaluating contralateral (healthy and infected) mammary quarters for somatic cell count (SCC), milk yield and composition. Selection of cows...

Challenges in circulating tumor cell detection by the CellSearch system.

Molecular oncology
Enumeration and characterization of circulating tumor cells (CTC) hold the promise of a real time liquid biopsy. They are however present in a large background of hematopoietic cells making their isolation technically challenging. In 2004, the CellSe...

An open-source solution for advanced imaging flow cytometry data analysis using machine learning.

Methods (San Diego, Calif.)
Imaging flow cytometry (IFC) enables the high throughput collection of morphological and spatial information from hundreds of thousands of single cells. This high content, information rich image data can in theory resolve important biological differe...

Multiparameter mechanical and morphometric screening of cells.

Scientific reports
We introduce a label-free method to rapidly phenotype and classify cells purely based on physical properties. We extract 15 biophysical parameters from cells as they deform in a microfluidic stretching flow field via high-speed microscopy and apply m...