Author

Linus Bao

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Open access Oct 2026

AI-based prognosis and chemotherapy benefit in node-positive, HR+ breast cancer: a blinded external validation on SWOG-8814 trial

Background The benefit from adjuvant chemotherapy varies among patients with postmenopausal, node-positive, hormone receptor-positive breast cancer. Genomic assays identify patients likely to benefit from chemotherapy but are expensive and tissue consuming. AI-enabled biomarkers may provide scalable alternatives. We pe...

A. Thompson, A. Meisner, K. Albain et al. · medRxiv · 0 citations

Open access Sep 2026

An AI Model Identifies Chemotherapy Benefit in Node-Negative HR+/HER2- Breast Cancer Patients from TAILORx, a Phase 3 Randomized Clinical Trial

BACKGROUND The prescribing of adjuvant chemotherapy for patients with breast cancer must balance the survival benefit against treatment-related toxicities. TAILORx, a phase 3 randomized clinical trial, demonstrated that endocrine therapy alone was, on average, noninferior to chemoendocrine therapy for patients classifi...

Nancy Chan, Cerise Tang, D. Biswas et al. · medRxiv · 1 citation

#artificial intelligence Preprint Sep 2026

Causal multi-modal AI for personalized chemosensitivity prediction

The model generated treatment-specific recurrence probabilities for each patient, with near-perfect calibration and strong prognostic discrimination across both 5- and 10-year follow-up horizons, and out-performed existing recurrence-score-based tests.

D. Biswas, Jeroen Berrevoets, A. McClean et al. · 3 citations