A new single-cell profiling technique has mapped pre-malignant gene mutations and their effects in solid tissues for the first time, in a study led by investigators at Weill Cornell Medicine and the ...

Researchers from several partner institutions of the German Center for Diabetes Research (DZD) have collaborated with ...

For the first time, scientists have identified the specific cells that allow severely damaged tissue to regenerate after widespread destruction, a discovery that could change how cancer relapse is ...

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 ...

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 combined gigapixel microscopy with explainable AI to analyze pancreatic tissue from living donors. The system accurately classified type 2 diabetes and identified structural changes linked ...