Search Over 53,000 People and Over 4,000 Cytokine Signalling Research Organisations
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 53,000 individuals working in Cytokine Signalling. http://bit.ly/aCZpM9 .
Top 10 Countries for Cytokine Signalling Research (ranked by number of senior Cytokine Signalling researchers)
Leading organisations in Cytokine Signalling research include:
. National Institutes of Health
. Harvard Medical School
. University of California
. Yale University School of Medicine
. University of Tokyo
. University of Toronto
. Washington University School of Medicine
. The Scripps Research Institute
. Kyushu University
. University of Pennsylvania
. University of Washington
. Duke University Medical Center
. Institut Pasteur
. National Cancer Institute
. Baylor College of Medicine
. Osaka University
. Howard Hughes Medical Institute
. University of Michigan Medical School
. Stanford University School of Medicine
. Dana-Farber Cancer Institute
. Albert Einstein College of Medicine
. University of Texas Southwestern Medical Center
. University of Chicago
. Ludwig Institute for Cancer Research
. Vanderbilt University School of Medicine
. La Jolla Institute for Allergy and Immunology
The database also includes pharmaceutical companies, biotech companies, CROs, hospitals, government labs and other organisations active in the Cytokine Signalling research field.
Sample companies in database include:
. Genentech, Inc
. Japan Science and Technology Corporation
. Amgen Inc
. Immunex Corporation
. Boehringer Ingelheim Pharmaceuticals, Inc
. Millennium Pharmaceuticals, Inc
. Regeneron Pharmaceuticals, Inc
. Eli Lilly and Company
. Human Genome Sciences, Inc
. Centocor Research and Development, Inc
. Hayashibara Biochemical Laboratories, Inc
. Pfizer Inc
. ZymoGenetics, Inc
. Genzyme Corporation
. Hoffmann-La Roche Inc
. PowderJect Vaccines, Inc
. Cell Therapeutics, Inc
. Chiron S.p.A
. Biogen Idec, Inc
. Celgene Corporation
. Coley Pharmaceutical GmbH
. Kao Corporation
. Genetics Institute, Inc
. Millennium Pharmaceuticals Inc
. Trudeau Institute, Inc
. Bayer HealthCare AG
What is Maven:
- Largest database of international medical professionals, with over 6,000,000 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 6 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 http://www.mavensemantic.com/
Ph: + 353 1 4100699
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INDUSTRY KEYWORDS: Health Biotechnology Hospitals Pharmaceutical