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Related Experiment Video

Updated: Jul 19, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

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Published on: February 23, 2019

An integrated biomedical knowledge extraction and analysis platform: using federated search and document clustering

Donald P Taylor¹

¹VIVISIMO, Inc., Pittsburgh, PA, USA.

Methods in Molecular Biology (Clifton, N.J.)

|September 22, 2006

Summary

High content screening (HCS) drug discovery requires efficient information retrieval. A new enterprise platform categorizes scattered data, simplifying access for biomedical research and drug discovery programs.

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

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Published on: September 20, 2018

Area of Science:

Bioinformatics
Drug Discovery
Biomedical Research

Background:

High content screening (HCS) necessitates complex, iterative information retrieval for drug discovery and biomedical research.
Information is fragmented across public/proprietary literature, compound libraries, and project databases.
Current bioinformatics tools are complex, lack natural query interfaces, and require manual data integration.

Purpose of the Study:

To address the challenges of information retrieval in HCS.
To propose a novel approach for information access in drug discovery programs.
To streamline data integration for HCS experimentation.

Main Methods:

Development of an enterprise software platform by Vivisimo.
Automatic categorization of search results into descriptive folders.
Elimination of the need for predefined taxonomies in data organization.

Main Results:

The platform bridges disparate information silos.
Search results are automatically categorized without taxonomies.
Facilitates more efficient information retrieval for HCS.

Conclusions:

The proposed approach simplifies and enhances information retrieval for HCS.
Vivisimo's platform offers a solution to fragmented data challenges in drug discovery.
This innovation can accelerate biomedical research and drug development processes.