Search Over 28,000 People and Over 2,000 Neurodegenerative 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 28,000 individuals working in Neurodegenerative. http://bit.ly/cdpi0v .
Top 10 Countries for Neurodegenerative Research (ranked by number of senior Neurodegenerative researchers)
Leading organisations in Neurodegenerative research include:
. University of California
. Harvard Medical School
. National Institutes of Health
. University of Toronto
. Massachusetts General Hospital
. University College London
. University of Milan
. University of Cambridge
. Institute of Neurology
. Emory University School of Medicine
. University of Kentucky
. Washington University School of Medicine
. Karolinska Institutet
. University of British Columbia
. University of Pennsylvania School of Medicine
. Columbia University
. Johns Hopkins University School of Medicine
. Mount Sinai School of Medicine
. Centre for Research in Neurodegenerative Diseases
. Howard Hughes Medical Institute
. King's College London
. Albert Einstein College of Medicine
. University of Tokyo
. The Scripps Research Institute
. Polish Academy of Sciences
. Chinese Academy of Sciences
. National University of Singapore
. Center for Neurodegenerative Disease Research
. Brain Research Institute
. Institute for Neurodegenerative Diseases
. Niigata University
. The Salk Institute for Biological Studies
. Universidad Autónoma de Madrid
. Universitat de Barcelona
The database also includes pharmaceutical companies, biotech companies, CROs, hospitals, government labs and other organisations active in the Neurodegenerative research field.
Sample companies in database include:
. Genzyme Corporation
. KineMed, Inc
. Novartis Pharma AG
. Amgen Inc
. F. Hoffmann-La Roche Ltd
. Genentech, Inc
. Gedeon Richter Ltd
. Boehringer Ingelheim Pharma GmbH & Co. KG
. Sankyo Co., Ltd
. Sumitomo Pharmaceuticals Co., Ltd
. Aventis Pharma S.A
. Cephalon Inc
. Eli Lilly and Company
. Phytopharm Plc
. Astellas Pharma Inc
. Bayer HealthCare AG
. CytoTherapeutics, Inc
. MGI Pharma Inc
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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