Aiforia achieves CE-IVD mark for clinical PD-L1 AI model in lung cancer diagnostics

Worldwide the most common cause of cancer mortality in 2020 was lung cancer, with an estimated 1.80 million deaths occurring¹. Fortunately immunotherapies are increasing in prominence and efficacy². A popular target for these novel therapeutics is PD-L1, a vital biomarker indicating cancer progression³. The calculation of PD-L1 presence in tumors is routinely used in clinical pathology as a ...

Digital pathology in drug development

Currently, drug development is very time consuming and labor-intensive. Scientists and pathologists go through hundreds of samples identifying variations to assess how a drug affects a certain tissue or animal. Digital pathology and artificial intelligence (AI) are extremely valuable in this process by improving efficiency. For example, toxicologic pathology research generates a huge number of ...

AI in Veterinary Pathology

Introduction Recent advancements in technology have brought together artificial intelligence (AI) and veterinary medicine. As AI models have become accessible through user-friendly platforms, they are now increasingly being utilized by pathologists in both preclinical research and clinical assessment. Veterinary pathologists study disease in animals. They serve as some of the leading experts in ...

Infectious Diseases and AI

Introduction Infectious diseases come from microorganisms, such as bacteria, viruses, fungi, or parasites. The pathogens are transmitted, directly or indirectly, and can lead to epidemics or even pandemics as seen recently with coronavirus. While some infected individuals remain asymptomatic, many infectious diseases have severe consequences and can be fatal. Infectious diseases are a leading ...

Aiforia Earns ISO 27001 Security Certification

Aiforia has received ISO 27001 certification, the premier global standard for Information Security Management Systems. With this certification, Aiforia highlights its mission to maintain the highest standards for information security in its AI-assisted digital pathology products.

5 raisons d'utiliser l'IA dans les diagnostics cliniques

English, Español L'augmentation des taux de maladies telles que le cancer accroît le nombre d'échantillons, ce qui augmente la charge de travail des pathologistes, un groupe de professionnels de la santé déjà sous-représenté. Ce défi est exacerbé par le fait que les outils et processus cliniques traditionnels à la disposition des pathologistes sont manuels et subjectifs.