In this webinar, we’ll explore how the Truveta Language Model (TLM)—a multi-modal AI model trained on EHR data—unlocks ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Currently, the OMOP CDM does not adequately cover cancer diagnoses, treatments, and episodes. There is also no comprehensive cancer data model or terminology available in the public domain that would ...

In Key Value data stores, data is represented as a collection of key–value pairs. InfoQ spoke with Casey Rosenthal from Basho team about data modeling when using Key Value NoSQL databases.

This article explores some key AI applications in fintech, highlighting both the opportunities and risks they bring to the table.

1. Presence-only data, for which there is no information on locations where the species is absent, are common in both animal and plant studies. In many situations, these may be the only data available ...

Besides presenting a brief review of functional principal components and functional regression, we develop some concepts for estimating functional principal component scores in the sparse situation.

- Volume One: Fundamentals will cover the basic concepts behind discretization, interpolation, error estimation, solvers, computer algebra and geometric modelling.