Selected Publications

For a full list of Drew’s publications, visit Google Scholar

A Multimodal Generative AI Copilot for Human Pathology

An article from Drew’s postdoc work; we designed and built the multimodal assistant PathChat for human pathology tasks capable of understanding pathology images and conversing with users in multi-turn conversations.

Ming Y Lu*, Bowen Chen*, Drew FK Williamson*, Richard J Chen, Melissa Zhao, Aaron K Chow, Kenji Ikemura, Ahrong Kim, Dimitra Pouli, Ankush Patel, Amr Soliman, Chengkuan Chen, Tong Ding, Judy J Wang, Georg Gerber, Ivy Liang, Long Phi Le, Anil V Parwani, Luca L Weishaupt, Faisal Mahmood

Nature, June 2024 | Publisher’s Link

A radar plot comparing performance between different AI models on different tasks when tested on cases from different races.

Demographic bias in misdiagnosis by computational pathology models

An article from Drew’s postdoc work; we investigated the extent to which deep-learning based computational pathology models are biased by demographic factors such as self-reported race and whether certain standard techniques can reduce or eliminate this bias.

Anurag Vaidya*, Richard J Chen*, Drew FK Williamson*, Andrew H Song, Guillaume Jaume, Yuzhe Yang, Thomas Hartvigsen, Emma C Dyer, Ming Y Lu, Jana Lipkova, Muhammad Shaban, Tiffany Y Chen, Faisal Mahmood

Nature Medicine, April 2024 | Publisher’s Link

Retrieving and captions corresponding to a pathology image from the aligned embedding space of CONCH.

A visual-language foundation model for computational pathology

An article from Drew’s postdoc work; we trained a vision-language model to understand natural language and pathology images for use as a general purpose encoder for either modality.

Ming Y Lu*, Bowen Chen*, Drew FK Williamson*, Richard J Chen, Ivy Liang, Tong Ding, Guillaume Jaume, Igor Odintsov, Long Phi Le, Georg Gerber, Anil V Parwani, Andrew Zhang, Faisal Mahmood

Nature Medicine, March 2024 | Publisher’s Link

A radar plot comparing of performance across many pathology tasks of four pathology AI models.

Towards a general-purpose foundation model for computational pathology

An article from Drew’s postdoc work; we trained a foundation model for pathology images for use as a general-purpose encoder for a variety of downstream tasks.

Richard J Chen*, Tong Ding*, Ming Y Lu*, Drew FK Williamson*, Guillaume Jaume, Andrew H Song, Bowen Chen, Andrew Zhang, Daniel Shao, Muhammad Shaban, Mane Williams, Lukas Oldenburg, Luca L Weishaupt, Judy J Wang, Anurag Vaidya, Long Phi Le, Georg Gerber, Sharifa Sahai, Walt Williams, Faisal Mahmood