Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning ...

An overview of factors that make the Oncology Care Model performance period data challenging to navigate and use.

This workshop will examine current approaches and challenges for quantitative evaluation of groundwater storage, flow, or recharge at different scales using remotely sensed data, proxy data and ...

People without a data science background struggle to understand how data science and predictive modeling works, and do not have confidence in the abstract algorithms behind AI technology. Greater ...

Advanced simulation and modelling is already making huge waves in how we develop small molecule drugs, but when it comes to gene and antibody-based therapies, there are new technological and data ...

An international modelling challenge is calling on experts across disciplines to help tackle one of Europe’s — and the ...

A new artificial intelligence model suggests that MS should be classified along a single disease continuum rather than into ...