Insights, highlights and the latest news from inside Imagia

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

It’s easy to find skepticism or hype when it comes to artificial intelligence, but it’s hard to get real facts and trends that matter for business leaders.

Health is becoming digital health, encompassing everything from electronic patient records to telemedicine and mobile health — spurred on by the pandemic. But the next evolution will involve artificial intelligence. While the potential of AI i

When you consider the wealth of data that exists in healthcare — from imagery to insurance claims to test results to clinical experiments, and everything in between —, the industry seems overdue for artificial intelligence solutions. Reams o

Precision medicine aims to offer a patient, or a subgroup of patients, disease treatment and prevention that has been shown to be optimally efficient or beneficial for them based on their genetic predisposition, their environment, and their life

Genomic data has the potential to be clinically useful, but its use today is very limited – this potential has not been realized. Imagia is filling this gap by applying cutting edge AI/ML/DL technologies to enable multi-site analysis of ge

Imagia boosts its Board of Directors with an experienced biotech industry leader with strong dual domain expertise in technology and healthcare.

Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao. Medical Image Analysis, 2021, 102106, ISSN 1361-8415.