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DISCOVER THE ONTOFORCE USE CASES IN EARLY DISCOVERY

In Early Discovery activities, from target identification to lead optimization, you require to explore information for each decision you need to make.
With DISQOVER, you have access to all available data, can explore hypotheses, make informed decisions and determine the success potential of the new drug.

Use Cases

DISQOVER TRANSLATES CRUCIAL TRENDS, MARKETS AND COMPETITION INTO INSIGHTS

DISQOVER TRANSLATES CRUCIAL TRENDS, MARKETS AND COMPETITION INTO INSIGHTS

With so much at stake, the decision to go ahead with a clinical trial must be well-founded. What is the market potential of the treatment under study? How far along are competitors in their development pipelines? What are the chances of success? Careful consideration – and a robust knowledge platform – wins the race.

DISQOVER for Early Discovery

DISQOVER FOR CHEMISTRY AND EARLY DRUG DISCOVERY

Save time, money, and other resources while getting all the information you need to make the right decision: here's how DISQOVER's holistic search capabilities boost the efficiency of early drug discovery.

DISQOVER for new target identification in Early Drug Discovery

DISQOVER FOR NEW TARGET IDENTIFICATION

Identifying potential new targets for disease treatment is a top priority in life sciences: not only does it provide valuable insights, but it’s also key to getting an early-mover advantage over competitors. By integrating information from internal, public, and third-party sources in a highly efficient manner, DISQOVER dramatically speeds up this process.

DISQOVER for Integrated OMICS data

DISQOVER FOR INTEGRATED OMICS DATA

Performing omics experiments in high throughput has become a standard technique in biomedical research. Omics data are abundant, but often, it isn't easy to find the subset you need. DISQOVER improves the annotation of omics data to avoid missing out on relevant subsets.

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DISQOVER FOR THE IDENTIFICATION OF BIOMARKERS

How do you go about searching for biomarkers? You have a ton of options at your disposal in the life sciences industry, but finding all these resources on your own can take a lot of time and energy. There is an easier way to do this: using a knowledge platform such as DISQOVER.

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DISQOVER FOR KEY OPINION LEADER IDENTIFICATION

It is difficult to find appropriate experts because classifying knowledge and queries are often done manually. By locating subject matter experts and key opinion leaders to involve in research studies and clinical trials, DISQOVER improves finding experts based on expertise built-up in study or work.

 
 

 

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DISQOVER FOR LITERATURE SEARCH AND REVIEW

Sifting existing literature for evidence relating to a research topic is a core element of clinical and life sciences research. With DISQOVER's unique features, finding, assembling, and curating that evidence become a lot less time-consuming – enhancing productivity and giving you a leg up on your competition.

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WHITEPAPER

THE NEW ERA OF LIFE SCIENCES DATA RESEARCH

The term ‘big data’ seems old school now that ‘machine learning’, ‘deep learning’ and emerging concepts such as ‘edge AI’ are the hypes of the day. However, despite our general familiarity with the concept of big data, challenges related to data-driven decision making still remain.  Several key learnings have emerged over the last decade. How do we use our expensive data processing and analytics tools to generate actionable insights? 

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Testimonials

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Frederic Leduc
President & CEO of Immune Biosolutions

"DISQOVER allows us to retrieve a lot more information than we could ever get from the original data source or any other technology"

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Henk Joos
General Manager, Agio Capital & Business Solutions

"Just imagine using DISQOVER as a global tool! We could bring disease communities together in an efficient way and enable all to find each other much faster."

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Bhanu Bail
Director, CTSC Informatics Program Management, Harvard Medical School

"Our eagle-i integration with the DISQOVER platform allows us to visualize data, along with 60 public data sources and about 29 different data types."

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