News and reflections from the world of AI

    Cerba Research case study: Evidence for the utility of AI in Ki-67 quantification in solid tumors

    Why Ki-67? Although it is an important biomarker in oncology (mostly in breast and prostate), Ki-67 immunohistochemistry (IHC) analysis has yet to be ...
    Written by Aiforia

    Faron Pharmaceuticals utilizes AI to perform spatial analysis in cancer drug development research

    In cancer patients, the immune system's ability to recognize and destroy cancer cells is often suppressed due to several factors. Cancer cells can ...
    Written by Aiforia

    Using AI-based image analysis to predict ovarian tumor outcome

    High-grade extrauterine serous carcinoma (HGSC) is an aggressive tumor with high rates of recurrence, mainly found in ovaries. These tumors have ...
    Written by Aiforia
    July 8, 2021

    Introduction to tCECs: a novel method for cancer diagnostics

    Cancer Diagnostics Expedited by the COVID-19 pandemic and the disruption it caused to healthcare systems, cancer rates are rising worldwide. Yet, diagnostic methods are finding it difficult to keep up.
    Written by Aiforia
    March 16, 2021

    Validation of PD-L1 AI model launches in six labs across the Netherlands

    Introduction Programmed death-ligand 1 (PDL1) is a protein that, when attached to T cells, prevent the immune system from killing cancer cells. Hence, PDL1 is used as a biomarker for tumor immune escape, a sign of increasing cancer progression. PDL1 percentage is also a significant predictor for immunotherapy efficacy, whereby immune checkpoint inhibitors bind to PDL1 and block its ability to ...
    Written by Aiforia
    March 11, 2021

    Interview with Dr. Rish Pai on using AI to study colorectal cancer

    Introduction Colorectal cancer is the third most common cancer in the United States and pathologists are becoming increasingly valuable in the management of these patients. Analysis of histological features of the tumors is the main source of data for diagnosis, but there are many components to this. Routine pathologic assessment does not capture a quantitative view of the extensive variability ...
    Written by Aiforia
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