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The skill's code, instructions, and declared dependency (numpy) are consistent with its stated purpose of computing an ADA risk score; there are no hidden endpoints, credentials, or install actions th... [内容已截断]
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"changelog": "Initial public release of ADA-Predictor, an anti-drug antibody (ADA) risk stratification tool for biologic therapy in rheumatic diseases.\n\n- Calculates probability of ADA development against TNF inhibitors and other biologics using clinical and pharmacogenomic variables.\n- Outputs a 0–100 risk score, risk tier (Low, Moderate, High, Very High), and tailored clinical recommendations (e.g., methotrexate optimization, TDM intervals).\n- Provides literature-based logistic regression model with interpretable factor weights.\n- Supports patient-level input validation and Monte Carlo sensitivity analysis.\n- Simple CLI usage: `python3 ada_predictor.py`\n- Developed by a rheumatologist and DeSci contributors.",
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"summary": "Predicts the risk of anti-drug antibody development against TNF inhibitors using clinical and genomic data, providing a risk score, tier, and tailored manage...",
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