Autonomous Research Automation System for Biomedical Systematic Reviews and Meta-Analyses
1. Executive Summary Innovation Overview This proposal presents the world's first autonomous research automation system capable of performing end-to-end biomedical systematic reviews, meta-analyses, and manuscript generation. This breakthrough technology eliminates manual processes in evidence-based medicine, revolutionizing how biomedical research is conducted globally. Key Innovation Highlights - First-of-its-kind automation: No existing system performs autonomous end-to-end research - Proven capability: Demonstrated across 15+ completed systematic reviews with publication-ready manuscripts - Market disruption: Reduces systematic review completion time from 6-12 months to 24-48 hours Impact Statement The autonomous research system addresses India's growing need for rapid evidence synthesis in biomedical research while establishing global leadership in AI-powered healthcare innovation. This technology will democratize access to high-quality research methodology, potentially accelerating drug discovery, clinical guideline development, and health policy formulation.
Institutions
- Institute of Medical Sciences (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-14
- DOI
- https://doi.org/10.5281/zenodo.17346001
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.00