In this GEN Learning Lab, our expert panelists Linda Orzolek, MS, MB, Xuhuai Ji, MD, PhD, and Christina Chang, PhD, will discuss the current landscape of imaging- and next-generation sequencing-based ...

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

Breast cancer remains one of the most prevalent and life-threatening forms of cancer, impacting millions worldwide. This malignancy's heterogeneity and complexity have long posed significant ...

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.