Use Cases

Discover how SciBite’s powerful solutions are supporting scientists and researchers.

Use Cases Overview

Bioassay Registration Departmental Search Drug Safety Electronic Laboratory Notebooks
Enterprise Fair Data LLMs & GenAI Knowledge Graphs Target Validation + Drug Repositioning
Gartner report

Gartner® How to Build Knowledge Graphs That Enable AI-Driven Enterprise Applications

 

Access report

Read report

Knowledge Hub

Explore expert insights, articles, and thought leadership on scientific data challenges.

Knowledge Hub

Resources

Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.

Resources

Events

Join us at upcoming events and webinars to learn more about SciBite solutions.

Events

News

Stay informed with the latest SciBite updates, announcements, and industry news.

News

Sign up for the Podcast

About SciBite

Explore SciBite’s full suite of solutions to unlock the potential of your data.

Discover more about us

Why SciBite Management Team SciBite Academy Careers
Our Partners

We build powerful partnerships with world-leading organizations.

Our Partners

Clinical Data Partners Data Management Platforms ELN Partners Enterprise Search Partners Knowledge Graph Partners

Sign up for the Podcast

Contact Us

SciBite / Knowledge Hub / Resources / Semantic analytics: A systematic, data-driven approach to drug repositioning [Whitepaper]

Semantic analytics: A systematic, data-driven approach to drug repositioning [Whitepaper]
Wheat field

A growing number of pharmaceutical companies are turning to Drug Repositioning as cost-effective alternative to de novo drug development. Their goal is to discover new uses for drugs to treat clinical indications other than those for which they were originally intended and to accelerate the provision of new, safe treatments to underserved patient communities.

However, traditional approaches to Drug Repositioning rely on structured data sources, sometimes supplemented by searches of the literature. Due to the manual, time consuming nature of such searches, they are limited in scope and miss potentially important information.

Semantic analytics facilitates the rapid identification of drug-target-indication relationships from a wide range of heterogeneous and cross-disciplinary sources. The SciBite Platform makes semantic analytics accessible to pharmaceutical companies, expedites the identification and prioritisation of all possible repositioning options associated with one or more drugs of interest and ensures decisions are based on all the available evidence.

To find out more, download the full whitepaper.
Download Whitepaper
Share this article
Relevant resources, events and news
https://scibite.com/knowledge-hub/news/matching-patients-to-clinical-trials/ thumbnail image News Matching patients to clinical trials

Matching patients and clinical trials full contexts using state-of-the-art AI models (full context matching) and why it is crucial

Read more

https://scibite.com/knowledge-hub/resources/biomarker-discovery-in-literature-use-case/ thumbnail image Resource Biomarker discovery in literature [Use Case]

Use semantic enrichment to unlock the value of unstructured text & simplify the identification of new potential leads from scientific text

 TERMite Text Analytics + Semantic Enrichment

Read more

https://scibite.com/?post_type=event&p=590 thumbnail image Event BioTech X Europe 2024

9-10 October 2024 | Basel, Switzerland
We are attending and exhibiting alongside Elsevier at this year’s BioTechX Europe event.

Read more