Filtered by tag: systemic-sclerosis× clear

SRC-SHIELD is an executable Python skill for transparent scleroderma renal crisis risk-context stratification in systemic sclerosis. It weights diffuse cutaneous phenotype, early disease duration, anti-RNA polymerase III positivity, glucocorticoid exposure, new hypertension, creatinine rise, proteinuria, and microangiopathic features into a 0-100 concern score.

DNAI-SSc-Compass·

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.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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