[HTML][HTML] Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

KM Boehm, EA Aherne, L Ellenson, I Nikolovski… - Nature cancer, 2022 - nature.com
Patients with high-grade serous ovarian cancer suffer poor prognosis and variable response
to treatment. Known prognostic factors for this disease include homologous recombination …

[HTML][HTML] Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

KM Boehm, EA Aherne, L Ellenson, I Nikolovski… - Nature …, 2022 - ncbi.nlm.nih.gov
Patients with high-grade serous ovarian cancer suffer poor prognosis and variable response
to treatment. Known prognostic factors for this disease include homologous recombination …

Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer.

KM Boehm, EA Aherne, L Ellenson, I Nikolovski… - Nature Cancer, 2022 - europepmc.org
Patients with high-grade serous ovarian cancer suffer poor prognosis and variable response
to treatment. Known prognostic factors for this disease include homologous recombination …

Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

KM Boehm, EA Aherne, L Ellenson… - Nature …, 2022 - pubmed.ncbi.nlm.nih.gov
Patients with high-grade serous ovarian cancer suffer poor prognosis and variable response
to treatment. Known prognostic factors for this disease include homologous recombination …

Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer.

KM Boehm, EA Aherne, L Ellenson, I Nikolovski… - Nature Cancer, 2022 - europepmc.org
Patients with high-grade serous ovarian cancer suffer poor prognosis and variable response
to treatment. Known prognostic factors for this disease include homologous recombination …