Holon-S1 从病理切片预测基因与生物标志物

AI 导读

Holon-S1 是一个从常规病理切片预测基因与生物标志物的平台，在受控对比中击败另外两个模型预测空间基因活性，并在乳腺癌和结肠癌中发现潜在新型生物标志物。该模型在 16 种器官类型、超过 15 种扫描仪上评估，覆盖福尔马林固定石蜡包埋（FFPE）与新鲜冷冻组织切片。研究者希望用已有切片发现新生物标志物与治疗靶点，推动个性化癌症诊疗。

正文 · 原文

Cancer patients with the same diagnosis often have very different tumor biology.

Molecular testing can reveal underlying differences, but that's slow and expensive.

Introducing Holon-S1, our platform to predict genes and biomarkers from routine pathology slides.

• beats two other models at predicting spatial gene activity in a controlled comparison

• has identified potentially novel biomarkers in breast cancer and colon cancer

• evaluated across 16 organ types and more than 15 scanners, using slides from both formalin-fixed, paraffin-embedded and fresh-frozen tissue.

We believe Holon-S1 has the potential to help researchers find new biomarkers in slides they already have, discover treatment targets, and bring more personalized cancer care within reach!