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Maven Semantic Updates Its Obesity Research Database
Jul 21, 2010 (Close-Up Media via COMTEX) --
Maven Semantic has announced updates to their Obesity research database.
In a release, the Company said that 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 86,000 individuals working in Obesity. http://bit.ly/akTfPl
Top 10 Countries for Obesity Research (ranked by number of Obesity researchers)
- United States Of America (33,900)
- United Kingdom (4,708)
- Japan (4,050)
- Italy (2,832)
- France (2,671)
- Canada (2,555)
- Germany (2,481)
- Australia (2,261)
- Spain (1,909)
- Sweden (1,701)
Leading organisations in Obesity research include:
- University of California
- Harvard Medical School
- National Institutes of Health
- University of Minnesota
- Washington University School of Medicine
- Baylor College of Medicine
- Columbia University
- Karolinska Institutet
- Mayo Clinic
- University of Toronto
- Duke University Medical Center
- Centers for Disease Control and Prevention
- Albert Einstein College of Medicine
- University of Tokyo
- Pennington Biomedical Research Center
- University of Copenhagen
- Brigham and Women's Hospital
- Beth Israel Deaconess Medical Center
- National Cancer Institute
- Massachusetts General Hospital
- Addenbrooke's Hospital
- Johns Hopkins University School of Medicine
- University of Oxford
- University of Colorado Health Sciences Center
- Uppsala University
- National Institute of Diabetes and Digestive and Kidney Diseases
- Joslin Diabetes Center
The database also includes pharmaceutical companies, biotech companies, CROs, hospitals, government labs and other organisations active in the Obesity research field.
Sample companies in database include:
- Eli Lilly and Company
- Banyu Pharmaceutical Co., Ltd
- Amylin Pharmaceuticals, Inc
- Amgen Inc
- Kao Corp.
- Hoffmann-La Roche Inc
- Merck & Co., Inc
- Novartis Pharma AG
- Astellas Pharma Inc
- Sumitomo Pharmaceuticals Co. Ltd
- Biovitrum AB
- Metabasis Therapeutics, Inc
- Pfizer Inc
- Millennium Pharmaceuticals, Inc
- Otsuka Pharmaceutical Co., Ltd
- Genentech, Inc
- Bristol-Myers Squibb Company
- AXYS Pharmaceuticals, Inc
- Aventis Pharma Deutschland GmbH
- Cognigen Corp.
- Hamad Medical Corp.
- Japan Tobacco Inc
- Neurocrine Biosciences Inc
- Protein Design Laboratories, Inc
- Kyorin Pharmaceutical Co., Ltd
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".
((Comments on this story may be sent to health@closeupmedia.com))
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