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| Content Provider | frontiers |
|---|---|
| Author | Hart, Gregory R. Yan, Vanessa Nartowt, Bradley J. Roffman, David A. Stark, Gigi Muhammad, Wazir Deng, Jun |
| Abstract | Despite large investment cancer continues to be a major source of mortality and morbidity throughout the world. Traditional methods of detection and diagnosis such as biopsy and imaging, tend to be expensive and have risks of complications. As data becomes more abundant and machine learning continues advancing, it is nature to ask how they can help solve some of these problems. In this paper we show that using a person’s personal health data it is possible to predict their risk for a wide variety of cancers. We dub this process a “statistical biopsy”. Specifically, we train two neural networks, one predicting risk for 16 different cancer types in females and the other predicting risk for 15 different cancer types in males. The networks were trained as binary classifiers identifying individuals that were diagnosed with the different cancer types within five years of joining the PLOC trial. However, rather than use the binary output of the classifiers we show that the continuous output can instead be used as a cancer risk allowing a holistic look at an individual's cancer risks. We tested our multi-cancer model on the UK Biobank dataset showing that for most cancers the predictions generalized well and that looking at multiple cancer risks at once from personal health data is a possibility. While the statistical biopsy will not be able to replace traditional biopsies for diagnosing cancers, we hope there can be a shift of paradigm in how statistical models are used in cancer detection moving to something more powerful and more personalized than general population screening guidelines. |
| ISSN | 26248212 |
| DOI | 10.3389/frai.2022.1059093 |
| Volume Number | 5 |
| Journal | Frontiers in Artificial Intelligence |
| Language | English |
| Publisher Date | 2023-01-20 |
| Access Restriction | Open |
| Subject Keyword | Machine learning and AI Data Mining Cancer screening Neural network Cancer detection Biopsy Individualized Medicine |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence |
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