Insights, highlights and the latest news from inside Imagia

Harnessing artificial intelligence to take the guesswork out of diagnosing cancer recurrence for millions of cancer survivors

Personalized cancer treatment via targeted therapies is two-to-three times more effective than standard chemotherapy for patients with advanced or metastatic cancer. But for patients to benefit, they must have access to robust biomarker testing

Imagia Cybernetics, an AI-healthcare company that accelerates oncology solutions generated from real world data, today announced its merger with Canexia Health.

When we set out to create EVIDENS™, our AI-driven discovery platform that transforms real-world healthcare data into clinically actionable insights, we had to dig deep to analyze and derive value from everything we were doing right – and eve

When Imagia was founded in 2015, we had a vision of improving patients’ lives through the latest, most remarkable breakthroughs in artificial intelligence, in particular those afforded by deep learning. And indeed, recent advancements in deep

It seems self-evident that healthcare research could gain tremendous value from using artificial intelligence to derive insights and solutions from real-world evidence. These discoveries could prove themselves invaluable for optimizing clinical

Lung cancer is the deadliest cancer in Canada—and the world. Every year, lung cancer kills more than 20,000 Canadians. Of those who receive a diagnosis, about 75% are expected to die within five years. Yet, there’s no national standard in Ca

A technical 20-page report for next-generation data governance models. Authors: Francis Dutil, Alexandre See, Lisa Di Jorio and Florent Chandelier.

Health research necessitates access to vast quantities of medical data and personal health information (PHI). From a patient perspective, privacy of PHI is of the utmost importance in order to preserve and protect individual interests. In an ide

Personalized medicine is touted as the holy grail of patient care. By supercharging decision support so that the right treatments are prescribed at the right times and diagnoses can be made based on all available data intelligently analyzed, we