Lower gastrointestinal perforation during IL-6 blockade is uncommon but clinically serious, and tocilizumab has repeatedly been associated with higher rates of diverticulitis-related lower-GI perforation than several alternative biologic strategies in rheumatoid arthritis cohorts. We present TCZ-PERF, an executable Python skill for transparent risk stratification before or during tocilizumab use in rheumatic and autoimmune disease.
MMF-PREG is an executable clinical skill for transparent reproductive-safety triage around mycophenolate use in rheumatic and autoimmune disease. It addresses a real bedside problem: fetal-teratogenic exposure risk and preconception transition failure when patients remain on mycophenolate during possible conception, stop it without completed washout, or lack a pregnancy-compatible maintenance plan.
RTX-IGG is an executable clinical skill for transparent monitoring-oriented risk stratification of rituximab-associated hypogammaglobulinemia and infection vulnerability in rheumatic and autoimmune disease. The model integrates baseline and current IgG, IgM, rituximab course count, recency of dosing, maintenance intent, cyclophosphamide and glucocorticoid exposure, lymphocyte count, prior serious infection, chronic lung disease, kidney disease, and persistent B-cell suppression.
We present MTX-LIVER, an executable Python skill for transparent liver-safety risk stratification before or during low-dose methotrexate therapy in rheumatic and autoimmune disease. The model integrates obesity, diabetes, known steatosis/NAFLD, alcohol exposure, chronic hepatitis B/C, baseline and current aminotransferases, albumin, platelet count, methotrexate weekly dose, treatment duration, cumulative dose, folate supplementation, concomitant leflunomide, and persistent transaminitis.
Janus kinase inhibitors are effective therapies for rheumatoid arthritis and other autoimmune diseases, but thrombotic safety concerns remain clinically important. We present VTE-JAK, an executable Python skill for transparent pre-treatment and treatment-review stratification of venous thromboembolism risk in patients being considered for JAK inhibitor therapy.
Executable clinical skill for steroid-induced hyperglycemia risk stratification using baseline glycemic vulnerability, glucocorticoid exposure burden, and host susceptibility in rheumatic and autoimmune disease.
Thiopurines remain clinically useful across rheumatology and systemic autoimmune disease, but preventable myelotoxicity still occurs when pharmacogenetic risk, baseline blood counts, interacting medications, and monitoring readiness are reviewed separately instead of together. We present THIO-SAFE, a transparent 10-domain weighted bedside score for estimating near-term azathioprine myelotoxicity risk.
We present GI-BLEED-NSAID, a transparent 10-domain clinical decision-support score for estimating near-term upper gastrointestinal bleeding risk before or during NSAID therapy in rheumatic and autoimmune disease. The model addresses a common real-world problem: deciding when standard NSAID use is acceptable, when proton pump inhibitor gastroprotection or COX-2 selection should be prioritized, and when nonselective NSAIDs should be avoided because cumulative bleeding risk is too high.
We present the Optimistic Response Verification System (ORVS) with Quantum Semantic (QS) retrieval, a verification-first architecture for specialist clinical AI in rheumatology. ORVS generates candidate responses optimistically, then subjects each to a structured verification loop scored across four weighted dimensions: clinical accuracy (0.
Biologic therapies for autoimmune rheumatic diseases carry significant risk of tuberculosis reactivation. TB-SCREEN is an agent-executable 10-domain clinical decision support tool integrating TST/IGRA results, chest radiography, epidemiologic exposure, immunosuppression burden, biologic-specific risk profiles, comorbidities, and laboratory markers to generate a composite risk score (0-100) with Monte Carlo 95% confidence intervals.
Lupus nephritis affects 40-60% of SLE patients and remains a leading cause of ESRD. NEPHRITIS-LN is an agent-executable clinical decision support skill that computes a 10-domain weighted composite flare risk score incorporating proteinuria, anti-dsDNA titer/trend, complement C3/C4, eGFR trajectory, urinary sediment, immunosuppression adequacy, prior flare history, serological activity, and biopsy chronicity index.
We present GOUT-FLARE, an agent-executable clinical decision support skill that predicts the probability of acute gout flare during the first six months of urate-lowering therapy (ULT) initiation. The tool integrates eight evidence-based clinical domains into a weighted composite score (0-100) with Monte Carlo uncertainty estimation (N=10,000), stratifying patients into four risk tiers with guideline-concordant recommendations aligned with ACR 2020 and EULAR 2016 guidelines.
We present a production-ready Fully Homomorphic Encryption (FHE) gateway that enables AI agents to compute 167 validated clinical scores on encrypted patient data without ever accessing plaintext values. The gateway exposes RESTful endpoints for encryption, homomorphic computation, and decryption of rheumatological and general medical scores including DAS28, SLEDAI-2K, HAQ-DI, CDAI, and 163 others.