Top journals
Frequent coauthors
- Usha Menon 3
- Oleg Blyuss 3
- John F. Timms 3
- Gentry-Maharaj A 2
- Ivan Sviridov 2
- Gunu R 2
- Ryan A 2
- Ian Jacobs 2
- Evgeny Mirkes 1
- Artem Sosedka 1
2025
In this study, we present a systematic evaluation of Synolitic Graph Neural Networks (SGNNs), a novel framework that transforms high-dimensional tabular data into sample-specific graphs using ensembles of low-dimensional pairwise classifier…
2025
Background: Ovarian cancer is characterized by high mortality rates, primarily due to diagnosis at late stages. Current biomarkers, such as CA125, have demonstrated limited efficacy for early detection. While high-dimensional proteomics off…
2020
BackgroundOvarian cancer has a poor survival rate due to late diagnosis and improved methods are needed for its early detection. Our primary objective was to identify and incorporate additional biomarkers into longitudinal models to improve…
2020
Longitudinal CA125 algorithms are the current basis of ovarian cancer screening. We report on longitudinal algorithms incorporating multiple markers. In the multimodal arm of United Kingdom Collaborative Trial of Ovarian Cancer Screening (U…