News and reflections from the world of AI

    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

    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, ...
    Written by Aiforia

    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 ...
    Written by Aiforia
    October 27, 2020

    Van Andel Institute case study: quantitative, unbiased assessment of alpha-synuclein immunoreactivity with AI

    Why did you decide to use Aiforia’s AI software and services?  Christopher: We recognized that Aiforia could provide us a uniform, fully quantitative, unbiased way to analyze the presence of a specific marker of pathogenic α-synuclein that is a key hallmark of Parkinson’s disease. We had previously used several different analysis methods to assess pathogenic α-synuclein immunoreactivity in the ...
    Written by Aiforia
    September 1, 2020

    Lundbeck case study: quantitative assessment with AI

    Quantitative assessment of alpha-synuclein pathology with AI Parkinson’s disease (PD) is the second most common neurodegenerative disorder after Alzheimer’s. PD affects around 10 million people worldwide. α-synuclein is a neuronal protein that is linked genetically and neuropathologically to PD.
    Written by Aiforia
    September 1, 2020

    Does deep learning AI provide a promising alternative to stereology?

    Introduction Analyzing three dimensional objects has always been a challenge for researchers who wish to find truthful, unbiased information. This is true especially in the field of neuroscience, where the investigator is often faced with detailed networks of cells in expansive areas. The number one tool enabling this analysis for the past few decades is stereology. Regarded as time efficient and ...
    Written by Aiforia
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