Aging theories are scattered across disciplines, often using inconsistent terminology. Traditional search methods miss critical papers due to varied naming conventions and cross-disciplinary fragmentation.
Cast an ultra-wide net using AI- and expert-informed queries, covering evolutionary, molecular, systems, and intervention-based frameworks. Iteratively expand queries based on discovered papers.
Concurrent API calls with intelligent rate limiting and retry logic ensure maximum throughput while respecting source limitations.
Smart caching system prevents redundant API calls and enables resumable operations, critical for large-scale data collection.
Automatic deduplication across sources, provenance tracking for every record, and validation of metadata completeness.
SQLite database and JSON exports ensure reproducibility and enable downstream processing with full metadata preservation.