Resources

Dive into peer-reviewed publications and posters documenting the development and clinical validation of our AI-powered digital biomarker Histotype Px® Colorectal.

Publications

  • A clinical decision support system optimising adjuvant chemotherapy for colorectal cancers by integrating deep learning and pathological staging markers: a development and validation study

    Kleppe A et al.

    Lancet Oncology (2022)

    Read more

  • Deep learning for prediction of colorectal cancer outcome: a discovery and validation study

    Skrede OJ et al.

    Lancet (2020)

    Read more

  • Designing deep learning studies in cancer diagnostics

    Kleppe A et al.

    Nature Reviews | Cancer (2021)

    Read more

Click here for the full list of publications from the Institute for Cancer Genetics and Informatics.

Posters

  • Histotype Px® Colorectal as an AI Biomarker to Guide Use of Adjuvant Therapy in Patients with Resected Colon Cancer

    Arole V, De Raedt S, Maupin J, Boutros S, Handley D, Noonan AM, Miller ED, Lujan G

    Presented at Pathology Visions 2024 conference (Orlando, FL, USA)

    Read more

  • Novel Clinical Decision Support System Optimizing Adjuvant Chemotherapy for Colorectal Cancer by Integrating Deep Learning and circulating tumor DNA molecular residual disease: GALAXY Histotyping

    Nakamura Y, Kildal W, Misumi T, Pradhan M, Watanabe J, Skrede OJ, Kotani D, De Raedt S, Bando H, Kalsnes J, Taniguchi H, Liestøl K, Takemasa I, Hveem TS, Kato T, Novelli M, Oki E, Kerr DJ, Yoshino T, Kleppe A

    Presented at ESMO Congress 2024 (Barcelona, Spain)

    Read more

  • Clinical validation of Histotype Px Colorectal in patients in a U.S. colon cancer cohort

    Arole V, De Raedt S, Maupin J, Boutros S, Noonan AM, Lujan G, Miller ED

    Presented at 2024 ASCO Annual Meeting (Chicago, IL, USA)

    Read more