A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...

Scientists have mapped the genetics of cancer in cats for the first time at scale, uncovering major overlaps with human ...

Researchers have discovered that cancer spread isn’t random—it follows a kind of biological “program.” By studying colon tumor cells, they identified gene patterns that signal whether a cancer is ...

Scientists have developed an AI system that analyzes complex gene-expression signatures to estimate the likelihood that a tumor will spread.

One of oncology's biggest challenges is that the same treatment can work well for some patients but fail completely in others. A study published in Nature Communications, by a multidisciplinary team ...

This Research Topic is the second volume of the “Unraveling Breast Cancer Complexity: Insights from Single-Cell Sequencing and Spatial Transcriptomics” ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

Severe CRS appeared numerically less frequent than in ZUMA-3, suggesting potential differences in patient selection, supportive care, grading, or real-world mitigation strategies. Tocilizumab and ...

Most of the world's information is stored digitally right now. Every year, we generate more data than we did the year before. Now, with AI in the picture, a technology that relies on a whole lot of ...

GigaTIME can transform routine pathology slides into detailed spatial proteomics data -- a high-resolution map of proteins -- a feat that may help doctors analyze tumors faster, thus bringing hope to ...