IDBS Announces its Innovation Partner Programme to Expand Research Data Management Applications
News Jun 04, 2009
IDBS has announced the launch of its ‘innovation through partnership’ programme. The scheme is an extension of IDBS’ existing partnering programme, designed for complementary technology organizations to work together and maximize the value of their research and data management systems.
IDBS’ partnering projects will make the latest developments in the capture, analysis and visualization of information available to customers. The scheme will ensure that the best applications for managing, sharing and securing data are developed, with the benefit of combining technical expertise. Partnerships will accelerate product development and add further value to informatics solutions.
Currently working alongside principle suppliers of infrastructure and technology, IDBS intends to build on existing technology partners including Microsoft, Oracle and PerkinElmer. In working collaboratively with existing research and technology organizations, and building relationships with other companies, IDBS’ partnerships will offer customers flexible choices to meet their individual data management needs.
IDBS will also specifically extend its consultative partnerships as a way of ensuring high quality local, support for customers around the globe. Building on existing close relationships with a-tune software ag (Germany), CTC-LS (Japan) and Kooprime Pte LTD (Singapore), IDBS will expand its consultative network, and work with regional leaders in scientific research informatics to complement its award winning professional services organization.
Neil Kipling, founder and CEO of IDBS commented: “IDBS’ innovation through partnership programme demonstrates our commitment to providing the best software solutions for our current and future customers. Further collaboration with global research and technology organizations will build on the highly efficient and effective development of our products. Partnering ensures the most comprehensive solutions are offered, increasing the speed and success of software innovation.”
An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.
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