
Revolutionizing Autoimmune Diagnostics
At Tashkhīs, we are rethinking how Lupus is diagnosed—moving beyond delayed, symptom-based methods.
Our platform combines blood-based omics biomarkers (like ISGs, SIGLEC-1, and BAFF) with AI analytics to detect early disease activity, even in patients who test negative on conventional assays.
We are committed to building non-invasive, predictive diagnostics that enable earlier intervention and more personalized care.
AI-Powered Lupus Detection
Our platform analyzes multi-omics biomarkers and clinical data with advanced AI to detect lupus, MS, and other autoimmune diseases early—often before conventional tests show anything. This means faster, more accurate diagnoses that give patients a head start on treatment.
Accelerating Autoimmune Research
By integrating genetic, proteomic, and immune signatures with machine learning, we uncover hidden patterns in lupus and MS. Researchers use our platform to stratify patients, predict flares, and explore personalized treatment strategies.
Collaborative Clinical Integration
We’re partnering with leading hospitals to run pilot studies in real-world settings, including patients with overlapping autoimmune symptoms or seronegative cases. These collaborations ensure our platform is clinically relevant and ready for broad implementation.
End-to-End Support for Clinics
From biomarker assays to AI-powered interpretation, we give clinicians a turnkey solution that fits into existing workflows. Our system includes training, validation protocols, and continuous updates, making precision autoimmune care simple to adopt.

Early Answers. Smarter Treatment. AI-Powered Insights from a Single Blood Sample.

Our mission is backed by growing data, real-world collaborations, and a commitment to building clinically useful tools for early autoimmune detection.
3
Proprietary Algorithms Developed
4
Research hospital collaborations
1.2M+
Data Points Analyzed
500+
Patient Samples Processed or in Pipeline
22
Countries Represented in Sample Sets
Trusted Collaborations






