AI reveals previously invisible patterns in breast cancer tumours
Researchers have developed an AI platform called CenSegNet to identify previously invisible patterns in breast cancer tumors by analyzing centrosomes. This technology aims to improve personalized treatment plans by uncovering distinct cellular abnormalities.
Why it matters
Advancements in AI-driven diagnostics can lead to more precise cancer treatments and better patient outcomes.
Studying centrosomes, tiny structures that help divide DNA evenly when a cell makes a copy of itself, in tumour tissues has proved 'extremely challenging' because of their tiny size and constant changing. File photo: Rui Vieira/PA
Scientists have developed a platform that uses artificial intelligence (AI) to reveal previously invisible patterns inside breast cancer tumours to help doctors predict how the disease might progress.
The technology could also pave the way for more personalised treatments.
Centrosomes — tiny structures that help divide DNA evenly when a cell makes a copy of itself — have been a “hallmark of cancer” for more than a century, experts at the University of Southampton said.
However, studying them in tumour tissues has proved “extremely challenging” because of their tiny size and constant changing. In cancer, centrosomes multiply too much, driving the progression of the disease.
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