Beyond Interoperability : Data Activation and Artificial Intelligence for Healthcare

Biological sciences and medical research are rapidly changing fields. Each day, we witness advances in genomics, imaging, and pharmacology, and we are now hearing about the use of Artificial Intelligence (AI) to drive these advances. How much of the AI story is hype and how much is real?

The use of AI in Healthcare has lagged behind other industries, in large part due to the lack of comprehensive, pristine data. Advances in data activation solve the accuracy and interoperability problems, and position organizations to finally apply AI technology; what are the best applications for AI in healthcare?

Be it precision medicine, diagnostics, imaging, or anything else, there are a lot of expectations of AI for healthcare. But for AI models to get better, there is a need to keep feeding it with data. How do we maintain this balance, especially in healthcare where it is a huge concern?

Others Details

-