Artificial intelligence study to map risks of ovarian cancer
2021
University of South Australia, Adelaide, Australia
Ovarian cancer is usually diagnosed very late because symptoms are vague and few causes are known. A new project from the University of South Australia will map health data from 273,000 women in the UK Biobank database over the next 4 years to determine genetic, dietary, and physical risks of ovarian cancer.
The machine learning model, which automatically analyzes the data to identify risk patterns, will predict which women will develop ovarian cancer in the next 15 years.
The focus will be on metabolomics, as the scientists involved believe that changes in lipid metabolism are biomarkers for ovarian cancer. Hormonal data and biomarkers in the blood will also be examined to better predict risk.
This project could help diagnose ovarian cancer earlier, improving survival rates.
Elina Hyppönen
Added on: 07-29-2021
[1] https://www.unisa.edu.au/media-centre/Releases/2021/world-first-artificial-intelligence-study-to-map-risks-of-ovarian-cancer/
