Precisely determining degree of malignancy, site, type, and grade of cancer is essential for accurate diagnosis and targeted therapy. The World Health Organization (WHO) and the Union for ...

Central nervous system (CNS) tumors are the leading cause of pediatric cancer death, and these patients have an increased risk for developing secondary neoplasms. Due to the low prevalence of ...

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 consistency to that of time ...

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 created a DIA-MS atlas of 13,609 proteins across 2,856 samples from fetal, healthy adult, paired non-tumor, and ...

Identifying patterns in whether and how different cell types interact with one another and correlating them with outcome is critical to understanding more about the complexity of this disease and ...

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 ...

Micro- and nanoplastics turned up in essentially every brain tissue sample a research team examined, but the concentrations ...