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Optra Health Announces Availability of Its ‘Automation of Knowledge’ Solution – the Bridge to Full Utilization of Next Generation Sequencing

July 21, 2014

Coupled with the Ability to Make Specified Autonomous Decisions, The Automation of Complex Workflow Tasks Can Enable Unprecedented Productivity in the Field of Genomics


SUNNYVALE, Calif.--(BUSINESS WIRE)-- Optra Health, an ISO-certified global organization specializing in medical devices, lab automation, life science informatics and healthcare IT, today announced the availability of its ‘Automation of Knowledge’ solution, a uniquely innovative and powerful web-based text mining and annotation tool for dealing with the sheer volume and complexity of biological information. Using the strength of natural language processing (NLP), machine learning and semantics to generate a computerized analysis of possible annotations from scienti?c abstracts, Optra’s ‘Automation of Knowledge’ Bio-NLP system will assist in turning unstructured information into a database of medical knowledge by tagging, classifying and discovering new insights. Consequently, this solution can serve as a technology bridge to the full utilization of high throughput genomic analysis, or next generation sequencing (NGS).

The last decade bore witness to major advancements in human genomics. However, the remaining challenges involve the development of technologies that utilize the glut of data output from these sequencing platforms towards actionable insights. With technologies like high throughput screening (HTS) and next generation sequencing (NGS), a huge amount of biological data is getting generated. To keep pace with the massive speed and data overload of these systems, a technology is needed to swiftly sift through already known facts, and use this information to ‘identify’ as well as ‘tag’ genes, antibodies or active compounds of importance in real-time data. To accomplish such varied and complex tasks, knowledge work automation will need to pave the way for intelligent software and algorithms that have the ability to ‘learn on the ?y.’

Employing medical machine learning, arti?cial neural networks and intelligent programs created to mimic human problem solving skills, the ‘Automation of Knowledge’ solution has the ability to efficiently handle and retrieve relevant scientific information from research publications or large scale biological data. It identifies biomedical entities of interest using a context specific analysis and it develops efficient algorithms to process text and make information accessible to computer applications. It has the ability to create a map of relations/concepts between the bio-medical entities, and it provides the corpus of annotations which can be grouped or classified based on the relationship between the entities. In the context of NGS, the automation of complex workflow tasks, coupled with the ability to make specified autonomous decisions, can enable unprecedented productivity.

The volume of literature in the field of genomics, measured in bytes, is about ?fty times the size of the entire human genome. Locked in this literature is an enormous amount of information. To make full use of such information for diagnostic and prognostic purposes, it is imperative that signi?cant ?ndings be annotated to generate a rich database of biological entities and relationships. This is why Optra’s ‘Automation of Knowledge’ solution for capturing information from genomics studies is such a useful tool for bridging the gap.

The ‘Automation of Knowledge’ tool can be exploited by a number of end users, both in the research and clinical settings. This invaluable tool can create robust databases for clinically significant variants and mutations responsible for inherited disorders, drug-gene interactions, epigenetic markers for research, developing automated frameworks for annotations of pathological reports, and for generating personalized risk reports for prenatal screening or counseling for diagnostic labs.

The ‘Automation of Knowledge’ solution for NGS, a market forecasted to grow from $2.2 billion to $4.4 billion by 2018, will be a true game-changer. Residing on a robust compute platform, the text-mining and annotation tool can enable rapid, reliable, comprehensive and cost-effective newborn genetic testing, breast cancer gene testing and direct-to-consumer genetic testing, to name but a few real-world applications.

To learn more about the ‘Automation of Knowledge’ from Optra Health, please visit our website: www.optrahealth.com, or read the recently placed article entitled, “Will the future of knowledge work automation transform personalized medicine?” in Applied & Translational Genomics:http://www.sciencedirect.com/science/article/pii/S221206611400012X, authored by Dr. Gauri Naik and Dr. Sanika Bhide.

About Optra Health

Optra Health is an ISO-certified global organization with deep domain expertise in medical devices, lab automation, life science informatics and healthcare IT solutions. The company provides a fully-scalable, cost-effective OptiShore™ delivery model. This enables customers to choose the optimal balance between on-site, on-shore, and off-shore development that will best address their budget and collaboration requirements. With Optra Health, customers are able to shrink their time-to-market by leveraging practical, building-block based solutions. Committed to clear communication and total transparency, the company consistently meets or exceeds its clients’ expectations. Offering a full complement of expert engineering and consulting services, Optra Health is aligned to real business needs applied over the entire product development lifecycle. The robust, scalable and efficient IT infrastructure of the company, together with its outstanding project management team, consistently ensures superior results. Optra Health’s global delivery model helps its customers cut costs by about 50% without compromising on quality, and realize a 200% improved production cycle. Visit Optra Health today: http://www.optrahealth.com/.



Optra Health

Francine Bacchini, +1 408-524-5300 x 107 (Office)

+1 408-839-8153 (Mobile)

francine@optrainc.com

Source: Optra Health


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