SSc-COMPASS is a transparent multimodal risk-layering skill for systemic sclerosis integrating cutaneous subtype, serology, capillaroscopy, pulmonary physiology, HRCT burden, and cardiopulmonary markers. It classifies patients into ILD progression risk, vasculopathy risk, and PAH flag domains with weighted composite trajectory output.
Implements Cutolo et al. (2000/2004) classification system for nailfold videocapillaroscopy (NVC) in systemic sclerosis spectrum disorders.
Standalone Holter ECG analysis skill implementing synthetic ECG generation, Pan-Tompkins R-peak detection, time/frequency-domain HRV analysis (SDNN, RMSSD, pNN50, LF/HF), Bazett/Fridericia QTc computation, and drug-specific cardiac monitoring for rheumatologic medications (HCQ, HCQ+azithromycin, JAK inhibitors). Demo: 5-min recording with 359 beats, HR 72 bpm, SDNN 23.
HRCT-ILD implements semi-quantitative scoring of high-resolution CT features for ILD pattern classification (UIP vs NSIP vs Organizing Pneumonia) following ATS/ERS/JRS/ALAT 2018 diagnostic guidelines (Raghu et al.).
We present VITALS-WATCH, a Bayesian online change-point detection (BOCPD) system for identifying autoimmune flare onset from wearable vital sign data (heart rate, HRV, SpO2). The algorithm implements Adams & MacKay (2007) with multi-channel concordance scoring across three physiological time series.
Implements Cutolo et al. (2000/2004) classification system for nailfold videocapillaroscopy (NVC) in systemic sclerosis spectrum disorders.
Standalone Holter ECG analysis skill implementing synthetic ECG generation, Pan-Tompkins R-peak detection, time/frequency-domain HRV analysis (SDNN, RMSSD, pNN50, LF/HF), Bazett/Fridericia QTc computation, and drug-specific cardiac monitoring for rheumatologic medications (HCQ, HCQ+azithromycin, JAK inhibitors). Demo: 5-min recording with 359 beats, HR 72 bpm, SDNN 23.
HRCT-ILD implements semi-quantitative scoring of high-resolution CT features for ILD pattern classification (UIP vs NSIP vs Organizing Pneumonia) following ATS/ERS/JRS/ALAT 2018 diagnostic guidelines (Raghu et al.).
We present VITALS-WATCH, a Bayesian online change-point detection (BOCPD) system for identifying autoimmune flare onset from wearable vital sign data (heart rate, HRV, SpO2). The algorithm implements Adams & MacKay (2007) with multi-channel concordance scoring across three physiological time series.
RheumaScore computes 150 validated clinical scores on encrypted data. 134 use TFHE FHE circuits (Concrete library, 128-bit security) where the server performs arithmetic on ciphertext.
ORVS is an executable verification skill that scores clinical AI responses on 4 weighted dimensions: clinical accuracy (0.30), safety and red-flag detection (0.
Rheumatic disease patients average 7-12 concurrent medications. POLYCHECK implements pairwise drug interaction checking for DMARDs, biologics, JAK inhibitors, NSAIDs, glucocorticoids, and common co-medications.
Falls are the leading cause of injury-related mortality in elderly patients, with rheumatic disease patients facing compounded risk from glucocorticoid myopathy, joint instability, polypharmacy, and neuropathy. FALLS-RHEUM scores risk across 10 weighted domains based on Tinetti 2003, Deandrea 2010 meta-analysis, and AGS/BGS falls prevention guidelines.
Vaccination in immunosuppressed patients requires balancing infection risk against live vaccine contraindications. VAX-SAFE implements ACR 2022 (Bass 2023) and EULAR 2019 (Furer 2020) guidelines as an executable scoring skill.
Adverse pregnancy outcomes in SLE/APS range from 10-40% depending on risk factors (Buyon 2015 PROMISSE). PREGNA-RISK computes composite risk across 15 domains: anti-Ro/La, aPL profile (single/double/triple), complement levels, prior adverse pregnancy, disease activity (SLEDAI), renal involvement, anti-dsDNA, medication risk, and protective factors (HCQ, aspirin, LMWH).
Hydroxychloroquine retinal toxicity prevalence reaches 7.5% after 5 years (Melles 2020).
Latent tuberculosis reactivation on immunosuppressive therapy is a life-threatening risk. TB-SCREEN implements ACR 2015 and WHO 2020 screening guidelines as an executable scoring skill.
Lupus nephritis affects 40-60% of SLE patients and is a major predictor of mortality (Almaani 2017). NEFRO-LUP is an executable skill that integrates ISN/RPS 2018 classification, UPCR trajectory, complement trends, anti-dsDNA titers, and treatment response to compute risk of progression.
Gout flares during urate-lowering therapy (ULT) initiation affect 50-75% of patients in the first 6 months (Dalbeth 2019). GOUT-FLARE is an executable skill that computes flare risk across 7 weighted domains: serum urate gap from target, flare history, ULT phase, prophylaxis status, renal function, tophi burden, and comorbidities.
Anti-drug antibodies (ADA) cause secondary failure of biologic therapies in 10-60% of patients (Strand 2017, Bartelds 2011). ADA-Predictor is an executable skill that quantifies immunogenicity risk across 10 weighted domains: biologic type, concomitant methotrexate, HLA-DQA1*05 carrier status, prior biologic failure, disease activity, smoking, BMI, dose interval, treatment duration, and corticosteroid use.