The future of cancer research
Artificial intelligence (AI) is transforming how scientists understand and treat ovarian cancer.
At Ovarian Cancer Action, we’re funding cutting-edge research that uses AI to uncover patterns humans can’t see, which is helping researchers predict risk, detect cancer earlier, and match treatments to the women most likely to benefit.
Why AI is important for ovarian cancer research
Ovarian cancer is one of the hardest cancers to diagnose and treat.
Symptoms are often vague and easily mistaken for other conditions, and there’s no effective screening programme. As a result, many women are diagnosed at a later stage, when treatment is more complex and survival rates are lower.
It’s also not a single disease. There are multiple types and subtypes of ovarian cancer, and they don’t all respond to treatment in the same way. Doctors must make difficult decisions about surgery, chemotherapy and targeted therapies.
These decisions are often based on huge volumes of imaging, genetic and clinical data that are incredibly complex to analyse.
This is where artificial intelligence could make a real difference. AI is uniquely suited to finding patterns in large, complicated datasets, helping distinguish between tumour types, and predicting which treatments are most likely to work.
By unlocking insights hidden within hospital data, AI has the potential to support earlier diagnosis, smarter treatment decisions and faster research breakthroughs.
That’s why we’re investing in pioneering AI-driven research.
How AI is used in cancer research
AI is already changing the face of cancer research, driving innovation in breast, lung, prostate, brain, skin, and thyroid cancers. It’s shown incredible promise in early detection and treatment, two things ovarian cancer researchers are very interested in.
In this blog, we’ll explain AI – what it is, how it works in ovarian cancer research, and how it could help save lives.