Maven Semantic: Real Time PCR Systems Database

Search Over 51,000 People and Over 4,000 Real Time PCR Research Organisations

DUBLIN--(BUSINESS WIRE)-- Maven Semantic ( announces updates to their Real Time PCR research database.

The new database is now available to marketing, business development, competitor intelligence, KOL, medical affairs and related departments in the life sciences sector.

The database currently tags 51,000 individuals working in Real Time PCR. .

Top 10 Countries for Real Time PCR Research (ranked by number of Real Time PCR researchers)

  • United States Of America (12,312)
  • China (4,469)
  • Japan (4,043)
  • Germany (3,622)
  • France (2,038)
  • United Kingdom (1,994)
  • Italy (1,713)
  • Canada (1,280)
  • Spain (1,203)
  • Australia (1,089)

Leading organisations in Real Time PCR research include:

  • University of California
  • National Institutes of Health
  • Harvard Medical School
  • Fudan University
  • Sichuan University
  • Centers for Disease Control and Prevention
  • Karolinska Institutet
  • National University of Singapore
  • Baylor College of Medicine
  • Institute of Pathology
  • Yale University School of Medicine
  • National Cancer Institute
  • University of Toronto
  • University of Tokyo
  • University of Zurich
  • Leiden University Medical Center
  • The Chinese University of Hong Kong
  • University of Guelph
  • Medical University of Vienna
  • Washington University School of Medicine
  • Mayo Clinic
  • University of Copenhagen
  • Institut Pasteur

The database also includes pharmaceutical companies, biotech companies, CROs, hospitals, government labs and other organisations active in the Real Time PCR research field.

Sample companies database include:

  • Abbott Molecular Inc
  • Roche Diagnostics GmbH
  • deCODE genetics, Inc
  • Genentech, Inc
  • Eli Lilly and Company
  • Corixa Corporation
  • Dade Behring Inc
  • Takara Bio Inc
  • Cytochroma, Inc
  • BioTrove, Inc
  • JGS Japan Genome Solutions, Inc
  • Panomics, Inc
  • Prodesse Inc
  • Bayer AG
  • Epigenomics AG
  • Novartis Pharma AG
  • Roche Molecular Systems, Inc
  • Scios Inc
  • Tosoh Corporation
  • Advanced Life Science Institute, Inc
  • Astellas Pharma Inc

What is Maven:

- Largest database of international medical professionals, with over 5,600,000 people and over 500,000 medical organisations;

- All records are downloadable to excel or in-house database, with email, postal address and phone contacts;

- Profile and segment the entire database using over 47,000 diseases and therapeutic areas

What is Maven used for:

- Building prospect lists for postal, telesales and email campaigns

- Locating key decision makers in companies, hospitals, government labs, university labs, and other healthcare facilities

- Identifying candidates for recruitment to very specific life science positions

About the Maven Semantic Medical Database: The current database holds over 5 million medical professionals, and 500,000 medical organisations.

The Maven Semantic medical database covers pharmaceutical, biotech and medical device companies, clinical research labs, hospitals, medical universities and government research organisations.

Maven is a SaaS subscription-based service. Clients can choose from quarterly or yearly subscriptions, or as pay-as-you-go option to retrieve specific large datasets for in-house use.

Results can be viewed online, or exported to Excel or a CRM system.

The data is now available to international healthcare marketing teams.

About our Technology: Semantic data mining tools have been used to create a database of detailed profiles of life science companies and executives.

The system uses the open web as an underlying database and extracts specific information on people, job titles, biographies, research profiles, contact details (dept., phone, fax, and email), organisation profiles, websites, product/services and much more.

Maven is based on healthcare crawlers/bots, search technology, semantic parsers, clustering, natural language processing (NLP) and artificial intelligence (AI) technology.

"The system uses the context in which a given person appears, using artificial intelligence techniques to find out information not otherwise visible - for example, how important is this person in a specific medical research specialization," says Alejandro Mesas, Semantic Systems Architect. "The big advantage of a focused semantic healthcare database over a generic search engine is that it has built-in taxonomies and a thesaurus to expand and refine the user queries. We then use scoring and ranking to fine tune the relevance of the results for a given therapeutic area. For example, stem cell researchers are given a "page rank", based on where they work, their job title, how many times they have published, where they have published, etc. The relevance can be fine tuned by the user".

For more information visit


Maven Semantic

Bryan McManmon

[email protected]

Ph: + 353 1 4100699


INDUSTRY KEYWORDS:   Technology  Data Management  Health  Biotechnology