---
title: "Case study - Accelerating Drug Discovery: How Advanced Data Retrieval Transformed Bio Pharma"
description: e-Zest's Knowledge Mesh transformed a bio pharma company's data retrieval, yielding faster access, higher productivity, and better drug repurposing.
image: https://healthcare.e-zest.com/hubfs/case_study/Casestudies/Gen%20AI/Web/Accelerating-Drug-Discovery--How-Advanced-Data-Retrieval-Transformed-Bio-Pharma_banner_1x_1440x500.jpg
---
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# Accelerating Drug Discovery: How Advanced Data Retrieval Transformed Bio Pharma
A leading bio pharma company struggled with retrieving specific-format information from complex datasets. Difficulty in storing and accessing the relevant information ultimately hampered their drug repurposing efforts and delayed their research and analysis.
To address these challenges, e-Zest implemented a Generative AI-based platform called Knowledge Mesh. Its key features include natural language querying and data discovery. It quickly understands language queries and retrieves the relevant data, allowing clinicians and scientists to efficiently access and analyze data.
Knowledge Mesh led to significant business outcomes.
- Approx. 50% reduction in data retrieval time
- Increased productivity
- Approx. 25% improvement in identifying potential drug candidates for repurposing
***Fill out the form and download the detailed case study to know more.***
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