News and reflections from the world of AI

    Employee Spotlight: Interview with Vigdis Lysø-Jakobsen

    How long have you been at Aiforia, and what do you do? I joined Aiforia 1st of February this year as a Solutions manager. This is a new role in ...
    Written by Aiforia

    Employee Spotlight: Interview with Dr. Manuela Tumiati

    How long have you been at Aiforia, and what do you do? I’m a fresh recruit, I joined last January. As a Project Specialist, my role is primarily to ...
    Written by Aiforia

    Aiforia releases another CE-IVD marked clinical AI Model — expanding its diagnostic pathology offering to prostate cancer

    This latest regulatory certification brings Aiforia’s portfolio of AI-powered diagnostic tools to a total of 5 CE-IVD marked clinical AI models for ...
    Written by Aiforia
    May 25, 2022

    Aiforia adds fourth CE-IVD marked clinical AI Model to its rapidly expanding portfolio of novel tools for cancer diagnostics

    Aiforia is providing a uniquely comprehensive approach to breast cancer diagnostics as the majority of cases express ER and/or PR. Therefore, the two are considered to be the most significant biomarkers involved in the evaluation of breast cancer.
    Written by Aiforia
    May 20, 2022

    Employee Spotlight: Interview with Pirjo Purolinna

    Describe your role at Aiforia. I work as a user experience (UX) designer. My job is about designing user-centred solutions, mostly for the Aiforia clinical application. In practice, that means I help to map needs of the users, work with several of our teams to come up with solutions, and finally design how the solution would come alive in the user interface.
    Written by Aiforia
    May 6, 2022

    Employee Spotlight: Interview with Anniina Manninen

    How long have you been at Aiforia, and what do you do? I’ve been working at Aiforia for almost three years now alongside my studies. I work as a Data Analyst in application development. In addition I’m currently working on my Master’s Thesis for Aiforia on the topic of Self-supervised Learning for Histological Image Representation.
    Written by Aiforia
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