Better Brain Biomarkers
Radiata develops brain biomarkers and therapies to measure and improve brain health. We apply human neuroscience, AI + ML, mathematical modeling, and clinical science to promote optimal brain function in health and disease. CogFi is our first validated scan: a 30-minute brain function and structure assessment to measure neuro-cognitive health, estimate how cognitive fitness may change, and track changes over time.
Science
We focus on brain function biomarkers using resting state functional MRI. FMRI can precisely measure brain network function while a subject lays comfortably in an MRI scanner. Healthy brain function is the foundation for cognitive and mental well-being.
Functional and structural MRI analysis
Modern pipelines to process scans and quantify brain activity, connectivity, and anatomy.
Systems neuroscience
Network and gradient methods for revealing how distributed brain systems are organized.
Aging & dementia spectrum
Tests and therapies for Alzheimer’s disease, frontotemporal dementia, Mild Cognitive Impairment, Subjective Cognitive Concerns, and healthy aging trajectories.
Machine learning biomarkers
Deep learning models and dimensionality reduction for identifying data-driven patterns and creating latent spaces. Best practices for validation and interpretability.
Public + private datasets
Processed and cataloged public datasets (ADNI, OASIS, etc.) combined with private datasets enhance biomarker discovery and validation.
Mathematical modeling
Dynamical systems and control theory techniques for identifying brain dysfunction and developing optimal therapies.
Advanced statistics
Mixed-effects and Gaussian additive models for longitudinal and multi-site inference.
Neuropsychology
Brain-cognition relationships for quantifying cognitive processes like memory, attention, executive function, and language performance.
Technology
We are a full‑stack brain imaging biomarker platform: brain scanning, image processing, data science/neuroscience/AI, R&D, and brain health reporting.
Modern neuroimaging workflows
fMRIPrep, XCP‑D, CAT12, FSL, SPM, and AFNI; inputs and outputs adhere to BIDS standards for interoperability.
Modern scientific computing
Python, MATLAB, and R.
Data science & ML toolchain
NumPy/SciPy/pandas, scikit‑learn, PyTorch, and Hugging Face support unsupervised and supervised modeling and data/model transparency.
AWS backbone
S3 for data, RDS (PostgreSQL) for databases, EC2 for CPU/GPU compute, Batch and Step Functions for scalable processing, Lambda for automated tasks, ECS + ECR for container hosting, and IAM for security and access control.
Containerized workflows
All services and pipelines are packaged in Docker containers and stored on ECR for reproducible processing.
Interactive visualization dashboard
All data is centralized in our Brains Browser, built on React, D3.js, Tailwind CSS, and Niivue. Personalized brain health reports are built on this foundation.
DevOps & observability
Git for version control, GitHub Actions for CI/CD, and CloudWatch for logging and metrics keep the platform reliable and audit‑ready.
Scanner Integration
Automatically push DICOM files from the scanner to AWS S3 for seamless end-to-end data handling.
Team
Founded by UCSF neuroscientists and data engineers, Radiata emerged from the Memory and Aging Center with a goal to support better brain and mind health.
Publications
Jesse A. Brown, Alex J. Lee, Kristen Fernhoff, Taylor Pistone, Lorenzo Pasquini, Amy B. Wise, Adam M. Staffaroni, Maria Luisa Mandelli, Suzee E. Lee, Adam L. Boxer, Katherine P. Rankin, Gil D. Rabinovici, Maria Luisa Gorno Tempini, Howard J. Rosen, Joel H. Kramer, Bruce L. Miller, William W. Seeley, ADNI
Nature Communications (2025)
Jesse A. Brown, Alex J. Lee, Lorenzo Pasquini, William W. Seeley
NeuroImage (2022)
W. J. Lee, J. A. Brown, H. R. Kim, R. La Joie, H. Cho, C. H. Lyoo, et al.
Neuron (2022)
J. A. Brown, J. Deng, J. Neuhaus, I. J. Sible, A. C. Sias, S. E. Lee, et al.
Neuron (2019)
A. M. Staffaroni, J. A. Brown, K. B. Casaletto, F. M. Elahi, J. Deng, et al.
Journal of Neuroscience (2018)
D. C. Perry, J. A. Brown, K. L. Possin, S. Datta, A. Trujillo, et al.
Brain (2017)
J. A. Brown, A. Y. Hua, A. Trujllo, S. Attygalle, R. J. Binney, et al.
NeuroImage: Clinical (2017)
J. A. Brown, J. D. Rudie, A. Bandrowski, J. D. Van Horn, S. Y. Bookheimer
Frontiers in Neuroinformatics (2012)
J. A. Brown, K. H. Terashima, A. C. Burggren, L. M. Ercoli, K. J. Miller, et al.
PNAS (2011)
Partners
We work with imaging networks, neurotech companies, pharma, CROs, academic labs, and anyone interested in bringing modern brain MRI biomarkers and therapies into real-world practice and clinical trials. Interested in partnering? Contact us.
