News and reflections from the world of AI

    Aiforia appoints VP of Sales, Americas

    Aiforia, a software company providing pathologists with AI-based solutions for clinical diagnostics and preclinical analysis, today announced that ...
    Written by Aiforia

    Aiforia launches a collaboration with Mayo Clinic to transform pathology practice with AI-powered solutions

    Aiforia, a technology company providing deep learning AI software for image analysis in pathology, and Mayo Clinic announced today that they are ...
    Written by Aiforia

    End of year message from the CEO

    Hi everyone,
    Written by Aiforia
    November 23, 2021

    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 significant genetic and morphologic heterogeneity and are notable for their diversity and unpredictability in outcome. Treatment methods and research for these tumors have developed very little in the last few decades. Standard therapy includes debulking ...
    Written by Aiforia
    November 16, 2021

    Aiforia achieves CE-IVD mark for clinical PD-L1 AI model in lung cancer diagnostics

    Worldwide the most common cause of cancer mortality in 2020 was lung cancer, with an estimated 1.80 million deaths occurring¹. Fortunately immunotherapies are increasing in prominence and efficacy². A popular target for these novel therapeutics is PD-L1, a vital biomarker indicating cancer progression³. The calculation of PD-L1 presence in tumors is routinely used in clinical pathology as a ...
    Written by Aiforia
    November 15, 2021

    Digital pathology in drug development

    Currently, drug development is very time consuming and labor-intensive. Scientists and pathologists go through hundreds of samples identifying variations to assess how a drug affects a certain tissue or animal. Digital pathology and artificial intelligence (AI) are extremely valuable in this process by improving efficiency. For example, toxicologic pathology research generates a huge number of ...
    Written by Aiforia
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