literature-review

You can automate a systematic literature review by orchestrating multi-database searches across PubMed, bioRxiv, arXiv, and Semantic Scholar, followed by automated deduplication, screening, and data extraction to generate publication-ready outputs.

Yes, you can generate PRISMA-compliant reports for a biomedical literature search. The workflow produces standards-compliant documentation and formatted manuscripts directly from your search strategies and screening results.

The best way to deduplicate citations from PubMed and arXiv is to use an automated workflow that aggregates search results from multiple databases and systematically removes duplicate entries before the screening phase.

Yes, the systematic review workflow includes citation verification. It automatically verifies citations during the data extraction process to ensure accuracy in the final Markdown and PDF publication-ready outputs.

Reproducibility for systematic reviews using Python is achieved through automated, end-to-end workflows that apply consistent search strategies, deduplication, and screening, ensuring results can be regenerated and documented in PRISMA-aligned formats.

Yes, you need the requests library to run multi-database literature searches. It is a required Python dependency for executing the automated search orchestration across external databases and retrieving publication data.