Aiforia Technologies

Aiforia is one of the featured vendors at the novel NIH STRIDES Google Marketplace and the only one offering AI-based solutions for image analysis. This initiative offers researchers access to advanced computing resources, data, and tools to support their work. Read more: https://hubs.la/Q02TGtzd0

If you are comparing AI development tools for image analysis in pathology, pay attention to these topics: ✅ Integration possibilities ✅ Scalability and cloud resources ✅ Graphics processing unit (GPU) ✅ Support ✅ Transition to clinical ✅ Security ✅ Features Learn how Aiforia tackles these critical factors in our new blog: https://hubs.la/Q02X41P60

Aiforia's team is at the Pathology Visions 2024 conference organized by the Digital Pathology Association in Orlando, FL. 🖥️ Meet us and see Aiforia's powerful deep learning AI and cloud-based technology in action at booth number 313. Request a demo: https://hubs.la/Q02WPT280 #PathVisions24 #pathology #digitalpatjology #AI

Aiforia and Paige form strategic partnership to advance AI in pathology! This partnership brings Paige's AI applications to the AiforiaⓇ Platform, giving users even broader access to cutting-edge tools for enhanced lab efficiency and diagnostic confidence. Read more: https://hubs.la/Q02WM5xF0

Already next week Aiforia's Tamas Regenyi and Julien Courtial will be at SIAPeC-IAP Annual Congress in Sicily, Italy. 🖥️ Visit us at booth number 11+12 Learn how Aiforia's solutions strive to increase the speed, accuracy, and consistency of analyzing large and complex medical images, especially in pathology. Explore the powerful deep learning AI and cloud-based technology with a live demo on-site: https://hubs.la/Q02WB3k90 #pathology #digitalpathology #AI

Aiforia stands in solidarity with everyone affected by breast cancer, and this October, we would like to support breast cancer awareness once again. At Aiforia, we're committed to developing AI-powered tools that empower healthcare professionals in the fight against this disease. Aiforia's solutions aim to revolutionize pathology and improve patient outcomes. Read how AI can assist in detecting HER2-low breast cancer: https://hubs.la/Q02WgM1w0 #BreastCancerAwareness #breastcancer #pathology #digitalpathology

Aiforia’s CEO Jukka Tapaninen was interviewed by Inderes Oyj Equity Research Analyst on the company’s latest news and sales progress. 🎥 Watch here (in Finnish): https://hubs.la/Q02W6J5f0

Bicêtre Hospital in Paris is one of the first hospitals in Europe to integrate AI into their pathology workflow. 🇫🇷 Aiforia’s deep learning AI solutions for the analysis of tissue sample images support clinical decision-making and automate repetitive tasks, increasing the speed and accuracy of case reviews. Read more about Aiforia's partnership with Assistance Publique–Hôpitaux de Paris (AP-HP): https://lnkd.in/dT4ZsFvM

A novel study from the University of Helsinki confirms the biological significance of regions identified by artificial intelligence in ovarian cancer tissue images. This might be the first time, that AI has been published to find biomarkers related to cancer treatment outcomes based on histology. A research team used Aiforia® Create to develop an AI model that was able to predict how a patient with a particular ovarian cancer would respond to chemotherapy based on images of tissue samples. AI model uses only parts of the tumor to predict, and these areas are not distinguishable to the human eye. Congratulations Anna Laury & al. on the release of this groundbreaking study “Opening the black box: spatial transcriptomics and the relevance of AI-detected prognostic regions in high grade serous carcinoma” and Anna for successfully defending her thesis on Friday! Read more in Finnish: https://hubs.la/Q02VZZNg0 Related readings: 📝 More than meets the eye? : Artificial intelligence-directed spatial transcriptomics of high grade serous carcinoma, Anna Ray Laury: https://hubs.la/Q02VZW_v0 📄 Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence–Detected Prognostic Regions in High-Grade Serous Carcinoma, Laury AR, Zhenga S, Aho N, et al.: https://hubs.la/Q02VZTMR0 📄 Artificial intelligence-based image analysis can predict outcome in high-grade serous carcinoma via histology alone, Laury AR, Blom S, Ropponen T, et al.: https://hubs.la/Q02VZV-w0

In our upcoming webinar, Maxwell Smith, M.D., Pathologist at Mayo Clinic, and Lucas Stetzik, Senior Scientist at Aiforia, will discuss how AI can be used in anatomic pathology. Dr. Smith will explain how he used Aiforia® Create to develop AI models for interstitial lung disease and liver transplantation. 🗓️ Thursday, November 7th, at 11:00-12:00 a.m. EST / 5:00-6:00 p.m. CET ➡️ Join the webinar and register here (NOTE that you can register even if you cannot attend the live session; we will send you a recording after the webinar): https://hubs.la/Q02VtHTC0 #webinar #artificialintelligence #AI #anatomicpathology #pathology #lungdisease #livertransplantation