Nimblemind Multi-Agent System
PulseAugur coverage of Nimblemind Multi-Agent System — every cluster mentioning Nimblemind Multi-Agent System across labs, papers, and developer communities, ranked by signal.
- 2026-09-01 research_milestone Researchers published a paper detailing the Nimblemind Multi-Agent System (nMAS) for oncology feature extraction, achieving an 85.0% F1 score. source
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New AI workflow extracts oncology data with 85% accuracy
Researchers have developed the Nimblemind Multi-Agent System (nMAS), a workflow designed to extract clinically relevant oncology information from fragmented patient documentation. This system aims to convert unstructure…
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AI pipeline automates heart failure EHR feature engineering
Researchers have developed the Nimblemind Multi-Agent System (nMAS), a novel pipeline designed to automate the complex process of feature engineering from electronic health records (EHRs) for heart failure research. Thi…
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AI system improves H. pylori detection in biopsy reports
Researchers have developed the Nimblemind Multi-Agent System (nMAS) to improve the extraction of evidence for Helicobacter pylori positivity from gastric biopsy reports. In a pilot study using 54 de-identified reports f…