New AI platform could improve breast cancer treatment

Scientists at the University of Southampton have developed an AI platform called CenSegNet that analyzed over 330,000 centrosomes from tissue samples of 127 breast cancer patients treated at University Hospital Southampton, identifying two distinct centrosome defects. Tumours with high levels of enlarged centrosomes were more aggressive, while lower levels correlated with higher patient survival rates, potentially enabling better forecasting of disease progression and more personalised treatment strategies.

New AI platform could improve breast cancer treatment - Scientists at the University of Southampton /topic/university-of-southampton have developed an AI /topic/ai platform called CenSegNet to uncover microscopic patterns within breast cancer /topic/breast-cancer tumours. - The tool analysed over 330,000 centrosomes from tissue samples of 127 breast cancer patients treated at University Hospital Southampton. - The AI identified two distinct centrosome defects that behave independently: an excess count of centrosomes and abnormally enlarged centrosomes. - Tumours with high levels of enlarged centrosomes were found to be more aggressive, while lower levels correlated with higher patient survival rates. - Researchers believe the platform could enable better forecasting of disease progression, new biomarkers and more personalised treatment strategies.