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Open access Aug 2026

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

Metastatic prostate cancer is a clinically and molecularly heterogeneous disease. Under the selective pressure of androgen receptor (AR)-directed therapies, resistant phenotypes frequently emerge, posing significant diagnostic and therapeutic challenges. Neuroendocrine prostate cancer (NEPC) is a clinically important p...

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

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