News and reflections from the world of AI

    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

    Interview with Pathologist, Dr. Nelli Sjöblom, on AI models aiding chronic cholestasis detection

    A cholestatic condition is characterised by a decrease in bile flow as substances normally excreted into bile are retained. Often this is due to ...
    Written by Aiforia

    Neuroscientist Joan Compte describes benefits of AI in Parkinson’s Disease image analysis

    What is PD? Parkinson’s disease (PD) is a neurological disorder characterized by the degeneration of dopamine releasing regions in the brain. The ...
    Written by Aiforia
    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 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
    February 22, 2021

    AI in toxicologic pathology publications’ summaries

    AI-based bone marrow screening Screening For Bone Marrow Cellularity Changes in Cynomolgus Macaques in Toxicology Safety Studies Using Artificial Intelligence Models Mark A. Smith, Thomas Westerling-Bui, Angela Wilcox, Julie Schwartz
    Written by Aiforia
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