CASE STUDY

Pharma Company Achieves 4x Faster Target ID for Inflammatory Disease

Key Highlights

  • A pharmaceutical company based in Boston aimed to speed up their target discovery and validation process for inflammatory disease using single-cell RNA-seq data.
  • Elucidata systematically addressed this challenge by leveraging curated data on Polly and their expertise in analyzing single-cell RNA-seq data.
  • This resulted in the identification of four new targets and the validation of five pre-identified targets.
  • The pharma achieved a four-fold acceleration in target identification and validation with the help of this partnership.

Get your case study now
Thank you for showing interest!

To know more about us, book a demo here.
Oops! Something went wrong while submitting the form.

All Case Studies

Case study: Accelerated Target ID using ML-Ready data on Polly

Elucidata Delivers 100% Automated AAV Genome Sequencing Pipelines at 4X Lower Costs

Read More
Case study: Accelerated Target ID using ML-Ready data on Polly

AI-driven Chatbot Optimization: Achieving Human-Level Accuracy and Speed in Data Retrieval

Read More
Case study: Accelerated Target ID using ML-Ready data on Polly

Elucidata Speeds Drug Toxicity Insights 4X by Integrating Clinical and Omics Data

Read More
Case study: Accelerated Target ID using ML-Ready data on Polly

Elucidata Transforms RNAi Drug Discovery: 2X Faster Gene ID & Cell Annotation

Read More
Case study: Accelerated Target ID using ML-Ready data on Polly

Elucidata x Hookipa: 7x Faster Insights In Translational Research

Read More
Case study: Accelerated Target ID using ML-Ready data on Polly

Optimizing Diagnostics: Elucidata Doubles (2X) Sample to Report Speed

Read More
Request Demo