https://doi.org/10.7490/f1000research.1120123.1
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Vipra R, Dwivedi R and Vipra M. MedGraph EDGE: AI-enabled knowledge discovery module of MedGraphTM for high-throughput biomedical insight generation and right decision-making with biocuration at scale [version 1; not peer reviewed]. F1000Research 2025, 14:354 (poster) (https://doi.org/10.7490/f1000research.1120123.1)
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MedGraph EDGE: AI-enabled knowledge discovery module of MedGraphTM for high-throughput biomedical insight generation and right decision-making with biocuration at scale

Ritvik Vipra, Rishabh Dwivedi, Madhura Vipra1
Author Affiliations
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Published 30 Mar 2025

MedGraph EDGE: AI-enabled knowledge discovery module of MedGraphTM for high-throughput biomedical insight generation and right decision-making with biocuration at scale

[version 1; not peer reviewed]

Ritvik Vipra, Rishabh Dwivedi, Madhura Vipra1
Author Affiliations
1 Executive, Medvolt.AI, Pune, Maharashtra, India
Presented at
18th Annual International Biocuration Conference 2025
Abstract
Competing Interests

I hold stocks or shares in Medvolt that may gain or lose financially from the online listing of this work, either now or in the future.

Keywords
AI-powered Biocuration, Biomedical Knowledge Graph, Multi-Omics Integration, Biomedical NLP, FAIR Data Principles, Knowledge Discovery, Target Identification, Drug Repurposing, Biomedical Ontologies, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Evidence Mining, Variant Annotation, Mechanism of Action, Biomedical Literature Mining, Translational Research, Ontology-driven Curation, AI in Drug Discovery
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