GREmLN focuses on the “molecular logic” that defines how genes interact and influence each other. This illustration highlights how the model uniquely captures gene interaction and the influence of ...

GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic applications.

A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in vitro experiments. This in silico approach aims to increase the fitness ...

You want the model to be good at just using tools so that it can query knowledge externally.” How it works Diffbot’s Knowledge Graph is a sprawling, automated database that has been crawling ...

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

This allows you to control the input to the model, resulting in a responsive, easy-to-interrogate natural language interface on top of your graph. The Rise Of The SLM ...

Gene therapy for tuberous sclerosis complex type 2 in a mouse model by delivery of AAV9 encoding a condensed form of tuberin. Science Advances , 2021; 7 (2): eabb1703 DOI: 10.1126/sciadv.abb1703 ...