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Received — 27 February 2025 ⏭ Favourites

Oncogene - Issue - nature.com science feeds
Using prognostic signatures and machine learning to identify core features associated with response to CDK4/6 inhibitor-based therapy in metastatic breast cancer Agnieszka K. Witkiewicz · Jianxin Wang · Emily Schultz · Thomas N. O’Connor · Tracey O’Connor · Ellis Levine · Erik S. Knudsen
Oncogene, Published online: 26 February 2025; doi:10.1038/s41388-025-03308-0Using prognostic signatures and machine learning to identify core features associated with response to CDK4/6 inhibitor-based therapy in metastatic breast cancer
26 February 2025 at 08:00

Using prognostic signatures and machine learning to identify core features associated with response to CDK4/6 inhibitor-based therapy in metastatic breast cancer

Oncogene - Issue - nature.com science feeds

By: Agnieszka K. Witkiewicz · Jianxin Wang · Emily Schultz · Thomas N. O’Connor · Tracey O’Connor · Ellis Levine · Erik S. Knudsen

26 February 2025 at 08:00

Oncogene, Published online: 26 February 2025; doi:10.1038/s41388-025-03308-0

Using prognostic signatures and machine learning to identify core features associated with response to CDK4/6 inhibitor-based therapy in metastatic breast cancer