News and reflections from the world of AI

5 things to know about Aiforia 5.0

We are excited to share our latest software release, bringing Aiforia users increased convenience and confidence in their image analysis! Version 5.0 emphasizes our promise to guarantee security and privacy to researchers, scientists, and pathologists using our software. The latest release is also packed with new enhancements to key features, from image storage to analysis. 

Case study: AI model for DSS-induced colitis

Inflammatory Bowel Disease (IBD) is a debilitating disease for which no cures exists. Murine models are widely used to study IBD, amongst them, the DSS-colitis model is a rapid and reliable one. However the scoring of histopathological lesions is challenging. We interviewed veterinary pathologists at Charles River Laboratories, Dr. Agathe Bedard and Dr. Aleksandra Zuraw, on their recently ...

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

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.

Interview with Veterinary Pathologist, Professor Garry Adams, on developing AI models with Aiforia Create

Professor Garry Adams, DVM, PhD, Diplomate, American College of Veterinary Pathologists, is a Senior Professor at the Department of Veterinary Pathobiology, Texas A&M University. He is also an Aiforia Create user, developing AI models to review tissues.