News and reflections from the world of AI

DECIDER project launches to improve diagnostics and treatment of ovarian cancer

The European Union has funded a project to improve personalized treatments for ovarian cancer with nearly 15 million euros for five years. The international DECIDER project has partners from 14 organizations in seven EU countries.

Aiforia feature: Multi-channel Images and Analysis

Unlimited channels, limitless data  Aiforia’s multi-channel viewing and analysis capabilities can be applied to any image allowing for hundreds of channels to be imported and processed.

End of year message from Jukka Tapaninen, CEO at Aiforia Technologies

2020 was an exceptional and challenging year. Like many others we at Aiforia had to adapt to the new circumstances posed by the ongoing COVID-19 pandemic. Despite the global turbulence we continue to serve scientists and medical professionals across preclinical, academic, and clinical labs around the globe. 

Aiforia Announces Formation of Scientific Advisory Board

Aiforia, a leading provider of deep learning artificial intelligence (AI) solutions for image analysis across a variety of medical domains, announces its newly formed Scientific Advisory Board. The four advisors represent world-class expertise in clinical diagnostics, personalized medicine, digital and computational pathology.

Aiforia secures U.S. patent for high-speed AI training tool in medical image analysis

Aiforia, a leading provider of deep learning artificial intelligence (AI) solutions for image analysis across a variety of medical domains, has been granted U.S. Patent No. 10,803,586 by the United States Patent and Trademark Office (USPTO). The patent covers the techniques deployed by Aiforia's active learning tool, Annotation Assistant, for the accelerated development of AI models for image ...

Aiforia Create feature: Instance Segmentation

The challenge: boundaries of AI-assisted analysis  AI-powered image analysis systems enable you to perform both multiclass semantic segmentation and object detection. These techniques allow pathologists to detect areas of different classes of region and counts of different objects. However, calculating the individual areas of segmentations and the individual areas of detected objects proves ...