SciBite and Sinequa join forces to transform scientific search

SciBite / News / SciBite and Sinequa join forces to transform scientific search

SciBite and Sinequa’s collaboration combines custom ontologies with a powerful search platform to help researchers find answers fast.

The future is in Big Data – and companies across industries are investing heavily in data analytics, tooling, and AI technologies that can analyze it. Life science organizations are no exception. They understand the incredible potential that data analysis tools have to advance innovative research. Drug discovery and development, in particular, have the potential to be accelerated with data and AI-driven technologies.

Collecting, harmonising, and analysing Big Data is no easy feat. When we talk about data in the life sciences, we are referring to a vast array of information that includes genetics data, peer-reviewed articles, clinical trial results, real-world evidence, industry reports, market analyses, statistics, and a great deal more. This information may be unstructured, siloed, and spread across the organization.

So, the question becomes – how do life sciences organizations identify critical data assets, make sense of them, and put their data to good use?

Partnering to search smarter

SciBite’s mission has been to develop tools that help organisations manage their data and unleash its innovative power. Key to SciBite’s efforts has been establishing partnerships with other companies doing groundbreaking work in this space. One long-standing collaboration has been with Sinequa, a company that offers an intelligent enterprise search platform.

SciBite’s named entity recognition tool, TERMite works in conjunction with curated vocabularies to identify and extract key concepts from both structured and unstructured types of scientific content. The Sinequa partnership allows for the seamless integration and configuration of TERMite within the Sinequa platform. This integration allows organisations to harness SciBite’s life sciences expertise directly within the Sinequa search environment, improving both recall and precision in the search experience.

SciBite and Sinequa take on COVID-19 research

Recently, SciBite’s Adam S. Brown PhD (Director of Professional Services) and Rachael Huntley (Senior Scientific Curator) joined Sinequa’s Jeff Evernham (VP of Product Strategy) and Nick Gogan (Sales Engineer) to present a webinar on transforming the scientific search experience using customised ontologies with SciBite and Sinequa.

They demonstrated a timely example of how CENtree, SciBite’s ontology management tool, can be used to create a new ontology for COVID-19 vaccine research. SciBite took the publicly available Coronavirus Infectious Disease Ontology and, via CENtree’s intuitive interface, easily added key synonyms for COVID-19 vaccines. SciBite then deployed the newly curated ontology directly to TERMite, demonstrating improved performance in tagging key COVID-19 concepts.

Once the terms were properly recognized and classified with SciBite, Sinequa then demonstrated how the Sinequa Search Platform’s user-friendly interface could be used to search and analyse content to provide unique insights.

Dynamic duo

Together, SciBite and Sinequa can empower researchers in the life sciences get to answers faster. This not only helps organizations with maintaining a competitive edge, but, most importantly, enables researchers to make vital discoveries that result in life-saving treatments and vaccines.

Enterprise search partners

We partner with leading enterprise search platforms to enhance real-time big data analytics for pharma and biotech companies. Semantic search capabilities improve the accuracy of search results allowing companies to make data-informed decisions. Find out more about how SciBite’s solutions can help unlock the potential of the R&D data in your business.

Enterprise search partners

Sam Shelton

Director of Alliances, SciBite

Sam leads partnerships and alliances at SciBite, working collaboratively with existing partners and developing new partnerships aligned to SciBite’s strategic goals. He has a strong technical background in the life sciences, with a PhD in Protein Biochemistry from the University of Nottingham and post-doctoral training in bioinformatics within the department of Neurosurgery at the University of California San Francisco.

Prior to Joining SciBite he held technical sales and commercial roles at Carl Zeiss and most recently led business development at Repositive, building relationships with contract research organisations, biotech’s and pharma companies, facilitating data exchange and search across multiomic datasets. He has a good grasp of the challenges of dealing with unstructured scientific data, and collaboratively developing practical solutions to overcome these.

Share this article

Relevant resources, events and news

https://scibite.com/?post_type=event&p=3182 thumbnail image

Event RAG-based approaches for life science applications [Webinar]

24 October 2024 | Online webinar
In the webinar we will share how to implement AI in a pragmatic, secure & transparent way to empower Life Sciences companies.