Research Goals

Our areas of focus include the development and validation of digital pathologic and multi-modal deep learning models for:

Greater diagnostic accuracy and efficiency
 
 

Improved outcome prognostication and prediction of treatment response in cancer patient populations
 

Discovery of novel image-based biomarkers for precision medicine across various oncologic and non-oncologic diseases

Featured Publications

Inflamed immune phenotype predicts favorable clinical outcomes of immune checkpoint inhibitor therapy across multiple cancer types

J Immunother Cancer 2024

Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade

eBioMedicine 2023 

Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study

The Lancet Oncology 2021

Impact of a deep learning assistant on the histopathologic classification of liver cancer

NPJ Digit Med 2020

Deep learning assistance for the histopathologic diagnosis of Helicobacter pylori

Intelligence-Based Medicine 2020

Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation

IEEE Transactions on Medical Imaging 2021

Deep learning predicts postsurgical recurrence of hepatocellular carcinoma from digital histopathologic images

Scientific Reports 2021

Latest News

  • – Shen Lab

    Multiple Congratulations this Month!

    Congratulations to Xiuzhe on receiving NVIDIA academic grant support for her project on generative AI for pathology (thank you to NVIDIA for supporting our work)! Congratulations to Barathi and Raja on their paper acceptance to NeurIPS 2025! Congratulations to Barathi on receiving the Basic Research Award at the 2025 Stanford Pathology Research Retreat!

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    – Shen Lab

    2025 Stanford Department of Pathology Research Retreat

    Our team had a strong showing at the Annual Stanford Department of Pathology Research Retreat, where Barathi, Rathinaraja, and Xiuzhe each presented posters of their ongoing work (with moral support from Angela), and a great time was had by all!

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    – Shen Lab

    ASDP 2025

    Raja and Barathi presented their recent work during platform and podium sessions at the 2025 Asian Society of Digital Pathology (ASDP) Annual Meeting in Mumbai.

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