News and reflections from the world of AI

    Digital pathology in drug development

    Currently, drug development is very time consuming and labor-intensive. Scientists and pathologists go through hundreds of samples identifying ...
    Written by Aiforia

    AI in Veterinary Pathology

    Introduction Recent advancements in technology have brought together artificial intelligence (AI) and veterinary medicine. As AI models have become ...
    Written by Aiforia

    Infectious Diseases and AI

    Introduction Infectious diseases come from microorganisms, such as bacteria, viruses, fungi, or parasites. The pathogens are transmitted, directly or ...
    Written by Aiforia
    July 26, 2021

    AI in toxicologic pathology: an overview

    Toxicologic Pathology Toxicologic pathology, the study of chemicals’ adverse effects on animal models of human diseases, has a significant use in preclinical drug assessment. Toxicologic pathologists are crucial for drug discovery and chemical safety assessments due to their skills in informational interpretation from a broad range of disciplines. This is particularly relevant for the various ...
    Written by Aiforia
    April 29, 2021

    Automating the detection of malaria parasites in blood smear

    Introduction Malaria is a life-threatening disease caused by Plasmodium parasites and transmitted through the bites of infected female Anopheles mosquitoes. There are five parasite species that cause malaria in humans of which P. falciparum and P. vivax pose the greatest threat, often progressing to severe illness, multi-organ failure, or death.
    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
    1 2