The joint modelling framework integrates longitudinal data—comprising repeated measurements from individual subjects—with time-to-event data, which captures the time until a particular event of ...

Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...

Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, multi-site recordings, enabling mechanistic investigations of in vitro human brain ...

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

Imagimob Studio’s Graph UX update enhances user-friendliness and brings a collection of new capabilities to the ML design process. Machine learning (ML) and its benefits to a product's software suite ...