Join Sinequa at Bio-IT World Conference & Expo 2016 (Booth #421)

Sinequa will present and exhibit at Bio IT World Conference & Expo that will take place on April 5-7 at the Seaport World Trade Center in Boston, USA.

Sinequa For Life Sciences

We invite you to stop by the Sinequa booth #421 to discuss innovative use cases of our solution for the Pharma industry – Sinequa For Life Sciences - and see how our customers raised their competitiveness by implementing our Big Data Search and Analytics solution across the most diverse data silos.

  

Also, make sure to book your agenda and attend our presentation in the Bioinformatics Track #5:

Wednesday, April 6, at 2:55-3:10 PM

“Increasing the Competitiveness of Pharma Companies:
Real Time Search and Analytics Across Structured & Unstructured Data”

Speaker: Xavier Pornain, Vice President of WW Sales & Alliances

Book your agenda

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Finding the Information ‘Needle in a Haystack’

Below is a contributed article from our VP Marketing, Laurent Fanichet (@fanichet). The original version is available on Biosciencetechnology.com.

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Sinequa - Finding the Information ‘Needle in a Haystack’

Digging through volumes of pharmaceutical data in any form, be that of lab reports, experimental results, clinical trial reports, scientific publications, patent filings, to even emails is a gargantuan task.  The data may deal with diseases, genes, drugs, active agents and mechanisms of action and can be textual, structured data like molecule structures, formulae, SAS data sets from clinical trials, curves, diagrams, and more.  When put together, all of this information can be retained in hundreds of millions of documents and billions of database records.

Compounding this volume of information are the billions of database records from internal and external trade sources that may be related to a life sciences project.  World-renowned pharmaceutical and chemical companies, such as AstraZeneca and Biogen, rely on search and analytic technology to solve real world problems by providing a single point of access to information extracted from all these data sources.  Search and Analytics solutions specialize in finding that data ‘needle in a haystack.’

To find that ‘needle,’ advanced organizations turn to the power of Search Based Applications (SBA).  Imagine that your company has an idea, but the data required to obtain meaningful results is spread across multiple business units or even enterprises in different formats.  What if you could quickly develop an application that could bring all the data together and allow you to create search queries to find the data that you require? And more importantly, what if the application could be built in a month’s time using highly advanced natural language processing that allows you to make sense of the complex information in scientific publications or clinical trial reports using artificial intelligence and machine learning from Spark; statistical analysis of structured data; and above all, combined statistical and linguistic/semantic analysis?

Advanced search and analytics platforms index all the structured and unstructured data sources and create a semantically enriched index, optimized for performance in dealing with user search queries.  In fact, some search and analytics solutions even offer as many as 140 smart connectors, ‘out of the box,’ that can seamlessly connect multiple sources of data.These companies integrate your company’s and industry specific dictionaries and ontologies allowing the information to be integrated and indexed, putting your specific knowledge ‘under the hood’ of one platform – making it an intelligent partner for anyone searching for relevant information for his/her subject.

The Pharma industry is starting to efficiently leverage SBAs in multiple ways. A major benefit of SBAs is that it allows companies to find subject experts. A company can quickly get a dynamically calculated list of people with their respective domains of expertise related to your question/subject. The results correspond to an ‘Expert Graph’ calculated from the ‘footprint’ experts leave in texts and data.

To make the most of your volumes of data, look for search and analytics solutions that will also allow you to build on your network of experts outside of your own internal resources.  For example, you can extend your search for experts on a particular subject by ploughing through massive amounts of data, in particular scientific publications, publicly available trial reports, patent filings, and reports from previous collaboration projects, in order to identify the best available experts – “Key Opinion Leaders” – and the organizations they belong to.

It’s also valuable to use a search and analytics solution to access the latest scientific information in your field with automatic alerts.  This is extremely valuable because it allows you to discover research trends in your field and potentially monitor the competition.  Such SBAs may easily cover as many as 110 million documents: all accessible external data sources including publications, Embase, Medline, Scopus, clinical trial reports and your company’s internal data sources via SharePoint, Documentum, etc.

Clinical trials going over many years generate millions of SAS datasets and billions of rows per drugs and studies.  Over time, Biostatisticians face tremendous challenges performing their analysis with the right datasets.  It is difficult to get a comprehensive list of patients having certain diseases within trials on a drug; ensuring completeness of results is nearly impossible with traditional tools and processes.

With powerful search and analytics indexing technology, scientists are able to search complex content with very precise criteria.  They can retrieve subjects that have shown certain diseases by specifying exact or fuzzy values on the AELLT variable for instance.  The scientists can then filter based on additional criteria like age and can combine about 900 CDISC variables and add any specific variables you may have.  They can search datasets based on the structure and metadata. Possibly even more important, the scientists can even search across many drugs and studies, merging current data silos.  In total, pharmaceutical company scientists are transforming their growing clinical trials data to a valuable asset that can be searched in real time.

Taken all together, an advanced search and analytics platform is able to leverage data indexing and analytics technology and enable organizations to create their own Search Based Applications.  In doing so, companies are able to:

  1. Accelerate research and time-to-market of drugs
  2. Quickly find experts on a particular subject
  3. Find key opinion leaders and R&D cooperation partners
  4. Push latest news on a subject to partners
  5. Monitor publications on particular subjects

The result? That ‘Needle in the Haystack’ just became much easier to find!

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6 Ways Pharma Companies Efficiently Leverage Search-Based Applications (SBA)

Sinequa for Life Sciences

Leading pharma companies are facing big challenges every day. In an ever-more competitive industry, it becomes crucial for these organizations to achieve the following objectives:

  • Speed up submission of New Drug Applications to reduce costs for new drugs development
  • Make educated decisions to continue or stop drug trials based on all clinical trial data available
  • Provide researchers with a unified access across the entire organization to all structured and unstructured data from both internal and external wide variety of sources
  • Drive innovation, accelerate research and shorten Drug Time-to-Market
  • Foster cooperation in R&D while respecting information governance and security
  • Optimize clinical trials and catalyze drug repositioning

Below, we will highlight 6 ways a pharma company can use real-time Big Data Search and Analytics to leverage Search Based Applications (SBA) and raise its competitiveness:

1. Quickly Establish a Network of Experts

You can find a network of experts, e.g. for a drug repositioning project, you will be looking for experts on the related drug, molecules and their Mechanism of Action, medical experts, geneticists, biochemists, etc. For example, you can get an “Expert Graph” calculated from the “footprint” experts leave in texts and data. You can also “link” people by their joint appearance in a document, even to the point of requiring that they be mentioned in the same sentence.

2. Find Scientific Partners/CROs

Similar to the network of experts within your own company, you can extend your search for experts on R&D topics to external research organizations in order to identify the most promising collaboration partners in a given field.

3. R&D Intelligence

Another important point is to discover knowledge in a particular field and detect correlations by sentence-level co-occurrence of topics across all your documents.

4. R&D News Alerts

The access to the latest scientific information of your field with automatic alerts may be of great interest. Via this information, you can discover research trends in your field. This Search Based Application must cover millions of documents: all accessible external data sources, e.g. publications, Embase, Medline, Scopus, clinical trial reports, etc. Internal sources, e.g. SharePoint, Documentum, etc.

5. R&D Search by Chemical Structures

Another way to leverage your SBAs is being able to simply “throw” a drawing of a molecular structure in the search platform, by a drag-and-drop of a .mol description file and automatically detect the drugs using this molecule, their scientific and brand names, the diseases treated with these drugs, etc.

6. Optimize Clinical Trials

You can transform your growing clinical trials data to a valuable asset by building an app that lets you search content with very precise criteria and retrieve subjects that have shown certain diseases by specifying exact or fuzzy values on the right variable for instance. You can also search datasets based on the structure and metadata and search across many drugs and studies, merging current data silos.

Curious to get some concrete use cases at leading pharma companies among our customers? Please download our Life Sciences whitepaper or contact our team for more details!

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How Can Big Data Search and Content Analytics Help Revolutionizing Pharmaceutical R&D?

How can Big Data Search and Content Analytics help revolutionizing Pharmaceutical R&D?A recent report from Accenture estimates that the U.S. healthcare could potentially generate $300 billion in annual healthcare cost savings through efficiencies and quality improvements offered by Big Data and Analytics. The good news is that we have seen over the past couple of years an increased adoption from leading biotech, pharmaceutical companies tapping into this real-world data with very positive results and very tangible ROI. The big data opportunity in pharmaceutical R&D is real, and the rewards will be great for companies that succeed.

So the question is as a leading life sciences company, you must be wondering: “what are the potential benefits for my organization?” How do you drive new insights and greater value from Big Data and Content Analytics?

Well, imagine a future where you could do the following:

  • Speed up submission of New Drug Applications to dramatically reduce costs for new drugs development
  • Make educated decision to continue or stop drug trials based on all clinical trial data available
  • Provide researchers a unified access across the entire organization to all structured and unstructured data from both internal and external wide variety of sources
  • Drive innovation, accelerate research and shorten Drug Time-to-Market
  • Foster cooperation in R&D while respecting information governance and security
  • Catalyze drug repositioning

What if we are telling you, the future is already here so step into the future!

Click here

By Laurent Fanichet, VP Marketing  - Sinequa

 

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