Advancing rheumatoid arthritis care through AI-driven thermography.
Singularity Biomed is a pioneering MedTech startup in the field of Rheumatology. Our mission is to improve early diagnosis, monitoring, and research of autoimmune diseases through Artificial Intelligence.
Funded by
Our machine learning model analyze thermal patterns to detect joint inflammation in patients with rheumatoid arthritis.
Eliminates the subjectivity of traditional physical examination. Quantifiable and reproducible data driven by AI.
The test is performed in seconds (real-time). Instant analysis and reporting to optimize clinical workflow.
No radiation, no contact, and no pain. A completely safe procedure for continuous patient monitoring.
Just take a photo. No learning curve required, allowing for immediate integration into any clinical setting.
Detect subclinical inflammation before it becomes clinically evident, enabling earlier intervention and better outcomes.
Smartphone-based portable thermal imaging. Affordable diagnostics wherever they are needed.
Our model has been developed and validated through rigorous clinical studies in Spain, and we are now in the international validation phase.
Peer-reviewed scientific validation
EULAR & PANLAR
We have widely disseminated our results through posters and oral presentations at the most important rheumatology congresses in the world.
The international validation is being carried out thanks to the AutoPiX project.
Transforming rheumatology across the entire continuum of care.
Improving arthritis detection directly at the point of care with immediate, sensitive AI-powered thermal imaging analysis.
Facilitating remote patient monitoring by providing patients and doctors with objective inflammation data outside the clinic.
Optimizing clinical trials by delivering precise, quantifiable, and objective efficacy markers for drug development.
Singularity Biomed participates in the AutoPiX project to validate its AI models for arthritis assessment in an international cohort.
New multicenter study validates ThermoJIS and ThermoDAI indices in an independent cohort, confirming their potential for RA management.
Introducing ThermoDAI: a novel composite index for remote, objective assessment of RA activity using thermography and AI.
