A new single-cell profiling technique has mapped pre-malignant gene mutations and their effects in solid tissues for the ...

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more ...

In traditional medical diagnostics, the procedure involves taking a patient biopsy sample and then meticulous analysis, which commonly utilizes microscopy methods within a laboratory setting. While ...

March 25, 2024-- GPT-4 can accurately interpret types of cells important for the analysis of single-cell RNA sequencing -- a sequencing process fundamental to interpreting cell types – with high ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Researchers often struggle to select which cells to utilize in their research and when to employ them. Cell lines, dissociated tumor cells, and primary cells all have their place in research. While ...

Dissociating tissues into single cells is a core laboratory technique and vital for widely used applications such as next-generation sequencing or flow cytometry. Scientists who employ tissue ...