News and reflections from the world of AI

    April 28, 2021

    Interview with veterinary pathologist on AI-assisted screening of bone marrow cellularity changes

    Bone marrow cellularity is the volume ratio of hematopoiesis (the body’s manufacturing of blood cells) and fat, and decreases with age. Many compounds can alter the cellularity of bone marrow making it a vital tissue for analysis by pathologists in pharmacologic safety studies. Quantitative data is vital for statistical evaluation in risk and toxicity assessments.
    Written by Aiforia
    April 22, 2021

    Aiforia and X-ZELL partner to scale up novel AI-powered method for early cancer detection

    Singapore, Helsinki -- Aiforia, a leading software company providing artificial intelligence (AI) solutions for medical image analysis, and X-ZELL, a clinical stage med-tech company aiming to make early, affordable cancer detection accessible to everyone, have entered into a strategic partnership to integrate X-ZELL’s novel rare cell detection technology with Aiforia’s deep learning AI software.
    Written by Aiforia
    April 19, 2021

    Entrevista con el Dr. Jose Lanciego

    English Director Científico del Laboratorio de Neuroanatomía del Centro de Investigación Médica Aplicada de la Universidad de Navarra, Pamplona, España.
    Written by Aiforia
    April 19, 2021

    Interview with Dr. Jose Lanciego

    Español Staff Scientist and Director, Laboratory of Functional Basal Ganglia Neuroanatomy Center for Applied Medical Research at the University of Navarra, Pamplona, Spain
    Written by Aiforia
    April 14, 2021

    5 reasons to use AI in clinical diagnostics

    Español, Français Rising rates of disease like cancer increase sample numbers creating a bigger burden on pathologists, an already underrepresented group of healthcare professionals. The challenge is exacerbated by the fact that traditional clinical tools and processes available to pathologists are manual and subjective.
    Written by Aiforia
    April 12, 2021

    Interview with VP of R&D at Lallemand Inc. on AI-aided identification of yeast contamination

    Yeasts are common microorganisms used in industrial fermentation processes such as food and alcohol production. Microbial contamination of such processes is inevitable, as most of the fermentation substrates are not sterile. Contamination can cause a reduction of the final product concentration and render industrial yeast strains unable to be reused. Hence, contamination detection is critical to ...
    Written by Aiforia
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