01 · Pre-trial
Design trials that can detect change
- Imaging protocol design and imaging charter
- Power calculations and prognostic enrichment
- Site selection, training and qualification
Imaging · Machine learning · Clinical trials
QSA applies the latest imaging and machine learning technologies to show more precisely where treatments are working, across every stage of a clinical trial.
Services along the trial life cycle
01 · Pre-trial
02 · During trial
03 · Post-trial
Technology and biomarkers

Machine learning that flags image issues such as blurring, ghosting and banding.
Processing pipelines with integrated quality control and interactive scan viewing.
Expert review with multi-visit comparison, lesion annotation and safety reads.
Objective measurement of brain volume percentage change.
Deep learning for rapid brain-atrophy outcomes in phase 2 and 3 trials.
Data-driven disease subtypes, with each patient staged within them.
Areas of work
Subtyping, staging and advanced MRI biomarkers for MS trials.
Imaging analysis for an MS trial of a cell therapy.
An educational resource on amyloid-related imaging abnormalities.
Machine learning that checks scans before analysis.
DeepBrainPrint, a deep-learning method for brain fingerprinting.
QSA also applies its analysis methods to retinal imaging.
Evidence
A multi-year MS subtyping study through image analysis.
A three-year imaging analysis for an MS trial of a CAR-T cell therapy.
Tell us about your study and the imaging questions behind it.