Author

Joseph Cappadona

Observed names: Cappadona, Joseph, J. Cappadona

OpenAlex ID: A5114623121

Multi-modal AI for comprehensive breast cancer prognostication

2026 · Jan Witowski, Ken G. Zeng, et al. · Nature Communications · 7

Comparing an AI test to a 21-gene assay for premenopausal node-positive HR+/HER2-breast cancer

2026 · Jailan Elayoubi, Cerise Tang, et al. · medRxiv · 1

Prognostic Risk Refinement using Artificial Intelligence in HR+/HER2- Early Breast Cancer: Implications for CDK4/6 Eligibility Criteria

2026 · Nicholas P McAndrew, Cynthia Ma, et al. · medRxiv · 1

Abstract P2-06-21: Preliminary validation of a multi-modal AI for stratification of early-stage breast cancer patients utilizing a foundation model for digital pathology

2025 · Jan Witowski, Ken Zeng, et al. · Clinical Cancer Research · 1

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

2026 · Park, Jungkyu, Biswas, Dhruva, et al. · arXiv (Cornell University)

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

2026 · Nancy Chan, Cerise Tang, et al. · medRxiv

Causal multi-modal AI for personalized chemosensitivity prediction

2026 · Biswas, Dhruva, Berrevoets, Jeroen, et al. · arXiv (Cornell University)

Refining Stratification in Premenopausal Node-Positive HR+/HER2− Breast Cancer With a Novel AI-Based Test

2026 · Jailan Elayoubi, Cerise Tang, et al. · Clinical Breast Cancer

Estimating individual benefit from adjuvant chemotherapy in hormone receptor–positive breast cancer using causal multimodal artificial intelligence.

2026 · Frederick Howard, Jad M. Abdelsattar, et al. · Journal of Clinical Oncology

133eP A multi-modal AI facilitates prognostication of patients with TPBC

2026 · M. Braun, J. Czerwinski, et al. · ESMO Open

Abstract PS3-04-04: Ai predicts response to neoadjuvant therapy in breast cancer across diverse cohorts

2026 · J. Park, F. Howard, et al. · Clinical Cancer Research

Abstract PS3-06-10: Pan-cancer ai foundation models yield accurate biomarker and survival predictions in breast cancer

2026 · J. Cappadona, J. Witowski, et al. · Clinical Cancer Research

Abstract PS3-06-17: Prognostic performance analysis of artificial intelligence test and 21-gene assay in premenopausal node-positive HR+ HER2- breast cancer patients

2026 · J. Elayoubi, K. Choucair, et al. · Clinical Cancer Research

Abstract PS3-06-03: Refining adjuvant CDK4/6 inhibitor eligibility in early HR+ HER2- breast cancer with artificial intelligence

2026 · N. P. McAndrew, E. Chiru, et al. · Clinical Cancer Research

Abstract PS3-06-07: Aligning AI Recurrence Predictions with Real-world Recurrence Rates Through Survival Calibration

2026 · K. G. Zeng, J. Witowski, et al. · Clinical Cancer Research

Abstract P2-06-28: AI-driven feature discovery enables accurate identification of breast cancer biomarkers and histology

2025 · Joseph Cappadona, Ken Zeng, et al. · Clinical Cancer Research

10P AI foundation model for breast cancer characterization and outcome prediction

2025 · A. Valachis, J. Cappadona, et al. · ESMO Open

Works count: 17

Citation count: 10

H-index: 1

I10-index: