Neurofind: using deep learning to make individualised inferences in brain-based disorders.

ABSTRACT: Within precision psychiatry, there is a growing interest in normative models given their ability to parse heterogeneity. While they are intuitive and informative, the technical expertise and resources required to develop normative models may not be accessible to most researchers. Here we present Neurofind, a new freely available tool that bridges this gap by wrapping sound and previously tested methods on data harmonisation and advanced normative models into a web-based platform that requires minimal input from the user. We explain how Neurofind was developed, how to use the Neurofind website in four simple steps ( www.neurofind.ai ), and provide exemplar applications. Neurofind takes as input structural MRI images and outputs two main metrics derived from independent normative models: (1)

SUBMITTER: Vieira S 

PROVIDER: S-EPMC11868583 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature