COLYBRI

Medical imaging databases and algorithms

The use of medical imaging data for:

⚕️ Improving the diagnosis of a pathology
💉 New therapeutic medications
💻 Designing new software
🩺 Designing new medical devices

"Thank you to the COLYBRI team for your efficiency and your responses to industrial requests."

Arnaud Attyé
CEO of GeodAIsics MD, PhD

Colybri relies on the wealth of imaging data from the Hospices Civils de Lyon and imaging experts as well as other specialties.

The Colybri platform offers a unique opportunity for clinicians, researchers, and industry professionals to benefit from personalised services to organise, structure, secure, optimise and, above all, annotate this data to make it easily mobilisable for your projects!

With the development of artificial intelligence techniques associated with the gradual opening towards other fields of big data such as biology, clinical data, and later genomics, Colybri positions itself as a privileged interface for the development of tomorrow's solutions.

Why turn to COLYBRI?

As a company

Requesting Colybri for your projects means interacting with specialised skills that can process a request within the regulatory environment of HCL, relying on its imaging hub and the entire clinical environment of the CHU to support you on three points:

✅ the development of an imaging database with a view to CE marking or providing images for 3D printing of a morphological model.

✅ the development of an AI algorithm by seeking a ground truth produced by our experts.

✅ the evaluation, testing, and impact study of your solutions/algorithms.

Collaboration modalities

Depending on each project

➡️ Colybri joins the 3 other innovation platforms to offer you packaged and cross-cutting offers.

See our offers

Examples of projects

carried out by COLYBRI

Training predictive algorithms (HEPTA Medical)

Pre-op

Per-op

Post-op

Training algorithms for predicting the microwave ablation zone in cancer treatment based on real clinical data

Objective: Compare the predicted ablation zones to the actual ablation zones as visible in imaging.

Contributions from Colybri:
✅ Provision of a structured database
✅ Selection of corresponding patients

See our corresponding offer

Robustness test of the generative AI software (Geodaisics Company)

MRI T1

FLAIR

Robustness test of the generative AI software BrainGML-AD® (Geodaisics Company)

Objective: To correlate the data from the lumbar puncture with that of the brain morphometry derived from MRI data of patients with Alzheimer's disease compared to subjects with subjective complaints and patients with other neurodegenerative diseases.

Contributions of Colybri:
✅ Provision of a structured database
✅ Selection of Brain MRIs
✅ Selection of lumbar punctures

See our corresponding offer

Examples of AI segmentation

skeleton

pulmonary system and vessels

cardiovascular system

muscles

digestive system

From a scanner - Each landmark is independent.

See our corresponding offer