Unraveling tumor heterogeneity: Quantitative insights from single-cell RNA sequencing analysis in breast cancer subtypes Peer-Reviewed Publication ...

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI ...

Tumor heterogeneity is increasingly recognized as a contributing factor to drug resistance. Dr. Haffner and his colleagues wanted to better understand the tumor heterogeneity and cell surface marker ...

A team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better ...

A recent study shows how extrachromosomal DNA contributes to tumor heterogeneity and may drive cancer progression. ... Emerging technological innovations may complement the analysis of short-read ...

A new AI tool, AAnet, has discovered five distinct cell types within tumors, offering a deeper look into cancer's inner diversity. This insight could transform how we treat cancer, enabling more ...

New AI tool, maps cancer cell diversity into five key types, unlocking the potential for personalized treatment and improved ...

An international team of scientists has developed an artificial intelligence (AI) tool that could revolutionise cancer ...

The study used deep learning to analyze H&E-stained tumor slides from 106 advanced-stage EGFR-mutant NSCLC patients, performing cell-level tumor heterogeneity analysis based on AI-discovered ...

The researchers first stratified the groups by chromatin homogeneous (CHO, ≥ 0.0952) and c hromatin heterogeneous (CHE, < 0.0952) subtypes, and performed chromatin structure analysis.

A post hoc analysis of the BEATcc trial showed that atezolizumab plus chemotherapy and bevacizumab provided clinical benefit ...

Spatial Transcriptomics for Tumor Heterogeneity Analysis. Exploring Circulating Tumor DNA (CtDNA) and Its Role in Early Detection of Cancer: A Systematic Review.