{"input_url":"https://www.nature.com/articles/s44222-026-00495-7","gnews_decode":"https://www.nature.com/articles/s44222-026-00495-7","http_status":200,"final_url":"https://www.nature.com/articles/s44222-026-00495-7","html_length":448670,"trafilatura_result":"ok","text_length":25131,"text_preview":"Abstract\nArtificial intelligence (AI), including machine learning (ML) methods, is shifting drug development pipelines from traditional, trial-and-error discovery towards computationally guided architectures that accelerate the identification of optimal formulations. In this Review, we outline the r","verdict":"OK"}