Projects
Clinical AI projects, built around the realities of care.
From first prototype to validated research workflow, each project starts with a concrete clinical question and stays grounded in secure hospital infrastructure.
Our projects connect clinical questions with methods that can be tested and refined in real research workflows.
Imaging models
AI-assisted segmentation
Our models create high-quality segmentations autonomously or from a small number of targeted clinician interactions.
In human-in-the-loop workflows, sparse corrections are propagated across the scan by the AI—combining clinical control with fast, consistent three-dimensional results.
Clinical data extraction
From clinical text to research-ready cohorts
On-premise language models help turn reports and longitudinal records into structured variables without moving sensitive data outside the hospital.
Every extracted field stays linked to its source, giving researchers a faster way to find cohorts while keeping review and correction in the loop.
Experimental data
Experimental and microscopy analysis
We combine microscopy images and Raman spectra to quantify tissue structure, molecular signatures, and experimental readouts at scale.
AI models help denoise and classify spectra, segment cells and tissue regions, and align molecular signals with spatial morphology for reproducible analysis.
Meet the people behind the research.
Our team brings clinical experience and technical research together to build responsible AI tools for care.