SCIENTIFIC COMPUTING AND INFORMATICS - Techxle

Scientific Computing and Informatics

Building High-Impact Biomedical Informatics Solutions

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Biomedical Market Drivers

• Biomedical research is increasingly reliant on analysis and interpretation of large data sets.

• With large volumes of data, professionals from biochemists to emergency room healthcare providers seek data analysis solutions to drive smarter decision making and outcomes.

• Artificial intelligence (AI) and machine learning have matured and now play an important role in biomedical research and healthcare practices. Visual analytics are advancing and ready for integration across the discipline of biomedical informatics.

• The open-source movement improves the impact of data that in the past has been expensive, time-consuming, and even impossible to collect.

Delivering Top Performance

In Bioinformatics & Computational Biology

Successful Track Record:

Supporting public and private research and health sectors for more than 10 years, including laboratories at the National Institutes of Health developing clinical and research applications.

Best-Value Proposition:

Effectively combining our expertise in IT, biomedical science, bioinformatics, computational sciences,& business management to ensure solutions that deliver top performance at reasonable costs.

In Laboratory Informatics

Multiple Software Programs and Applications:

Specialized for different types of research facilities and universities aimed at optimizing laboratory operations.




Optimizing Laboratory Operations:

With a functional multifaceted informatics platform that easily integrates with other systems and provides built-in visualization tools geared toward collaborations among researchers.

All-Encompassing Suite of Tools:

Covering sample collection, processing, reporting, and scientific data management. Toolsets are designed to increase productivity, elevate experimental data quality, and reduce lab processing times.

If you are looking for better performance and value in Bioinformatics, Computational Biology, and/or Laboratory Informatics