Radiata develops brain biomarkers and therapies utilizing neuroscience, AI/ML, and mathematical modeling to measure and improve brain health. The company offers a full-stack platform for brain imaging biomarker development, encompassing scanning, image processing, and data science for neuro-cognitive assessment. Their validated CogFi scan provides a 30-minute functional MRI assessment to quantify neuro-cognitive status and track changes over time, supporting research in aging and dementia.
Funding
Funding not disclosed
Founders
Product
Problem
The accurate identification and quantification of neurodegenerative changes in brain scans is challenging, hindering early diagnosis and timely intervention for patients at risk of cognitive decline. Existing methods often struggle to extract meaningful biomarkers from complex brain imaging data, leading to delayed or inaccurate diagnoses.
Solution
Radiata offers a software platform designed for the discovery and validation of brain imaging biomarkers, leveraging advanced machine learning techniques, including autoencoders for dimensionality reduction. The platform enables researchers and clinicians to explore latent spaces within brain structure, facilitating the identification of subtle patterns indicative of neurodegenerative diseases. Users can interactively visualize and analyze brain imaging data, build predictive models, and correlate imaging features with clinical outcomes. Radiata's tools aim to accelerate the development of novel biomarkers and improve the accuracy of diagnosis and monitoring in neurodegenerative disorders.
Target Audience
The primary users are researchers and clinicians in neurology, radiology, and related fields who are focused on the discovery and validation of brain imaging biomarkers for neurodegenerative diseases.
Features
- Interactive visualization of brain imaging data in a latent space representation
- Dimensionality reduction using autoencoders to extract key imaging features
- Machine learning models for classification, regression, and brain age prediction
- Tools for building and evaluating predictive models based on imaging biomarkers
- Ability to filter and select data based on various clinical and demographic variables
- Brain viewer for detailed examination of selected regions and imaging features