Insights, highlights and the latest news from inside Imagia

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.

How data is collected and managed will impact future discoveries in medical artificial intelligence. This post explains the two types of data sets encountered in the clinical setting and provides the strengths and weaknesses of both, from Imagia

Lao, Qicheng, Xiang Jiang, Mohammad Havaei, and Yoshua Bengio.IEEE Transactions on Neural Networks and Learning Systems (2021).

Imagia, a leader in artificial intelligence and personalized healthcare announced today a $7M support from Investissement Québec as part of Imagia’s  last  financing round.  This funding supports the development of the EVIDENS^TM platform a

The process of labeling data is costly, tedious and is a very manual task  tackled by humans. Current machine learning algorithms require a lot of labeled data in order to reach performance levels that are meaningful. Once, a model is trained o