Author

S. Tagawa

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Open access Aug 2026

Deep learning-based histologic classifiers enable molecular subtyping of metastatic prostate cancer.

A deep learning model that leverages interpretable cellular features to improve feature extraction from H&E-stained tissue sections (NEURAL-PC) and represents an extensively validated diagnostic and prognostic model for advanced prostate cancer.

Zhi-Jun Chen, Erolcan Sayar, D. Guevara et al. · JCI Insight · 0 citations

Aug 2026

Longitudinal Phenotyping of Circulating Tumor Cells using a Scalable Deep Learning Framework.

This work developed and clinically validated the System for Enhanced Evaluation of Tumor Cells (SEE-TC), a deep learning approach for scalable, reproducible phenotyping of individual circulating cells that is the first fully automated AI approach to single-cell segmentation and CTC phenotyping.

M. Bootsma, M. Sharifi, J. Sperger et al. · Clinical Cancer Research · 0 citations