Improving Clinical Outcomes in Cancer Care

AI Predicts Cancer Metastasis with 80% Accuracy

Researchers at the University of Geneva develop MangroveGS to estimate tumor spread and prevent overtreatment.

By Kronos Digital News Desk··1 min read
A digital visualization of a gene-expression analysis overlaying a medical scan, representing the MangroveGS AI model's ability to predict cancer spread.

A digital visualization of a gene-expression analysis overlaying a medical scan, representing the MangroveGS AI model's ability to predict cancer spread.

Photo: Kronos Digital News

Researchers at the University of Geneva (UNIGE) developed an AI tool called MangroveGS to predict the risk of cancer metastasis [1][2]. The model analyzes gene-expression signatures to estimate how likely a tumor is to spread to other organs [1]. This development was recently published in the journal Cell Reports [1][2]. The model demonstrates nearly 80% accuracy in predicting metastasis and recurrence specifically for colon cancer [1][2]. Beyond colon cancer, researchers found the tool shows significant promise for evaluating stomach, lung, and breast cancers [1][3]. MangroveGS aims to assist clinicians in personalizing treatments for patients [2]. By identifying low-risk individuals, the tool could potentially prevent unnecessary and heavy treatments, such as chemotherapy, for those unlikely to experience recurrence [1][3].

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About the author

Kronos Digital News Desk covers improving clinical outcomes in cancer care and editorial analysis for Kronos Digital News.