Scarcity of labeled data limits development of deep learning biomarkers in oncology. We develop a two-stage AI model predicting pathological complete response (pCR) to neoadjuvant therapy in breast cancer. The first stage learns the transcriptome from histopathology using 8,742 patients across 32 cancer types, corrobor...
Jungkyu Park, D. Biswas, J. Cappadona et al.· 0 citations
BACKGROUND
Pathologic complete response (pCR) is a key endpoint of neoadjuvant therapy in early-stage breast cancer (EBC), associated with improved survival, particularly in triple-negative and human epidermal growth factor receptor 2 (HER2)-positive disease. More recently, antibody-drug conjugates (ADCs), established...
G. B. Silva, A. Simões, R. L. Nohmi et al.· Critical reviews in oncology...· 0 citations
PURPOSE OF REVIEW
Antibody-drug conjugates (ADCs) have rapidly advanced from later-line salvage therapy into first-line metastatic and curative perioperative settings. This review appraises recent practice-changing data that collectively redefined treatment standards across Human epidermal growth factor receptor 2 (HER...
Nicole Odzer, P. Tarantino· Current Opinion in Oncology· 0 citations
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