Maven Semantic updates Lymphocyte Cell Biology research database

Maven Semantic (http://www.mavensemantic.com) announces updates to their Lymphocyte Cell Biology research database.

“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”

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 61,000 individuals working in Lymphocyte Cell Biology. http://bit.ly/b439NW .

Top 10 Countries for Lymphocyte Cell Biology Research (ranked by number of senior Lymphocyte Cell Biology researchers)

• United States Of America (24,693)
• Japan (4,888)
• Germany (3,692)

• United Kingdom (3,393)

• Italy (3,079)

• France (2,450)

• Canada (1,887)

• Australia (1,441)

• The Netherlands (1,240)

• China (1,238)

Leading organisations in Lymphocyte Cell Biology research include:

• National Institutes of Health
• University of California
• Harvard Medical School
• National Cancer Institute
• Howard Hughes Medical Institute
• Stanford University School of Medicine
• Yale University School of Medicine
• Washington University School of Medicine
• Dana-Farber Cancer Institute
• Kyoto University
• University of Pennsylvania
• Duke University Medical Center
• Karolinska Institutet
• Memorial Sloan-Kettering Cancer Center
• The Scripps Research Institute
• Institut Pasteur
• Johns Hopkins University School of Medicine
• Kyushu University
• Roswell Park Cancer Institute
• Australian National University
• Istituto Superiore di Sanità
• University of Heidelberg

The database also includes pharmaceutical companies, biotech companies, CROs, hospitals, government labs and other organisations active in the Lymphocyte Cell Biology research field.

Sample companies in database include:

• Genentech, Inc
• Human Genome Sciences, Inc
• Immunex Corporation
• Merck and Company
• Fujisawa Pharmaceutical Co., Ltd
• F. Hoffmann-La Roche Ltd
• Genzyme Corporation
• Novartis Pharma AG
• Japan Science and Technology Corporation
• Biogen, Inc
• Hayashibara Biochemical Laboratories, Inc
• Millennium Pharmaceuticals, Inc
• Amgen Inc
• Baxter Healthcare Corporation
• Chiron Corporation
• Kyowa Hakko Kogyo Co., Ltd
• MedImmune, Inc
• Novartis Pharmaceuticals Corporation
• Pfizer Inc
• Roche Research Center, Inc
• SyStemix, Inc
• Avigen, Inc
• Cell Signaling Technology, Inc
• IDEC Pharmaceuticals Corporation

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".