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Author

P. Tarantino

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#artificial intelligence Review Oct 2026

Transcriptome-informed multi-modal AI for predicting neoadjuvant therapy response from breast cancer biopsies

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
Review Sep 2026

Neoadjuvant antibody-drug conjugates for early-stage breast cancer: A systematic review and meta-analysis.

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. · 0 citations
Review Aug 2026

Antibody-drug conjugates in breast cancer: the first-line and curative setting.

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 · 0 citations

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