Stanford researchers have invented a unified AI architecture that integrates foundational models (FMs) with AI techniques for efficient analysis of fMRI data in psychiatric disorders.
Stanford scientists developed a novel strategy that uses resting-state functional connectivity magnetic resonance imaging (rs-fMRI) to determine whether a person will respond to treatment for depression.
Stanford inventors have created a novel, interactive, highly scalable computational approach for representing dynamic brain activity as a network for use in clinical settings.
Researchers in Prof. Karl Deisseroth's laboratory have combined optogenetics with functional magnetic resonance imaging (fMRI) to enable highly specific in vivo analysis of brain circuits.
Dr. Manish Saggar at Stanford University has developed a new method to visualize and quantify transitions in brain activity, which may be used as a diagnostic tool for mental illness.
Researchers at Stanford have developed a ferumoxytol-based dual-modality imaging probe that allows for long-term stem cell tracking through MRI and early diagnosis of cell apoptosis through simultaneous fluorescence imaging.