BrainScores transforms multisite MRI into harmonized, analysis-ready measurements for cohort studies, clinical trials, and biomarker discovery. Our pipelines combine rigorous metadata capture, automated processing, quality control, normative modeling, and interpretable outputs built on peer-reviewed neuroimaging science.
Research MRI is powerful, but multisite data are messy. Scanner differences, protocol drift, missing metadata, variable quality, and inconsistent processing can obscure real biological signal. BrainScores is designed to make subtle neuroanatomical measurement reliable across sites, studies, and patient populations.
Find the participants most likely to show measurable brain change — built for Clinical Research Organizations (CROs) and trial sponsors.
Identify imaging-defined subgroups to target the participants most likely to respond.
Quantify baseline abnormality to establish a clear structural starting point for each participant.
Track structural change over time to detect treatment effect as it emerges.
For diseases where treatment effect depends on stage, subtype, or regional vulnerability, quantitative MRI can help enrich cohorts and reduce measurement noise.
Enrich trial baselines using structural deviation, atrophy, asymmetry, or lesion burden.
Stratify participants by imaging phenotype.
Monitor regional change over time.
Support exploratory endpoints for early-phase trials.
Analyze existing cohorts retrospectively to assess imaging signal before prospective deployment.
Talk with our research team about data partnerships, harmonization protocols, cohort collaborations, or academic access to the BrainScores platform.
