{"skill":{"slug":"ada-predictor","displayName":"ADA-Predictor: Anti-Drug Antibody Risk Stratification","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...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":154,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1774190706093,"updatedAt":1774195911022},"latestVersion":{"version":"1.0.0","createdAt":1774190706093,"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.","license":"MIT-0"},"metadata":null,"owner":{"handle":"cryptoreumd","userId":"publishers:cryptoreumd","displayName":"CryptoReuMD","image":"https://avatars.githubusercontent.com/u/106553699?v=4"},"moderation":null}