PurposeConventional prognostic models for metastatic prostate cancer (mPC) typically rely on summary features like prostate-specific antigen (PSA) doubling time, often obscuring informative longitudin...

The Deep Learning Affinity Group (DLAG) at Fred Hutchinson Cancer Center is a subfield of machine learning that has significantly advanced the field of AI by enabling the development of more accurate ...

⏬Presentation Slides will be accessible below within 24 hours after the session concludes⏬ Presentation References: Title: “On Using Machine Learning to Improve Lung Cancer Screening Globally” Referen...

YouTube video by Fred Hutch Biostatistics Program

For a fun Friday read: a new JCI Insight study highlights NEURAL-PC, an AI model that can detect aggressive metastatic prostate cancer and subtle neuroendocrine changes from routine pathology slides. ...

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New members were elected in recognition of their scientific achievement and willingness to work on behalf of the Academy for the benefit of Washington state.

Biostatistician at Seattle Children's Research Institute

YouTube video by Fred Hutch Biostatistics Program

Researchers in the Etzioni Lab are using modeling to assess the benefit of using yearly multicancer early detection blood tests to catch new cancers in breast cancer survivors.

Researchers in the Etzioni Lab are using modeling to assess the benefit of using yearly multicancer early detection blood tests to catch new cancers in breast cancer survivors.

YouTube video by Fred Hutch Biostatistics Program

Researchers in the Etzioni Lab are using modeling to assess the benefit of using yearly multicancer early detection blood tests to catch new cancers in breast cancer survivors.