Technological advancements such as high throughput, enhanced sensitivity, and high resolution in proteomics have caused a rising demand for use of this technology in personalized medicine. Original equipment manufacturers (OEMs) of these instruments continue to look for ways to create rapid, accurate, user-friendly, and cost-effective devices. As a trusted partner to many of the world’s leading OEMs, Dedicated Computing is delivering the compute systems needed to power these advanced applications of the proteomics market.
Our technology addresses key industry challenges:
- Avoid costly validation and verification. We work closely with our customers to reduce the complexity of product lifecycle management – component changes are planned to synchronize with your system updates, not with the IT market.
- Better utilization of resources. Dedicated Computing provides engineering expertise to help with image configuration, design services, validation, and optimization of your application for hardware. Focus your valuable resources on strategic initiatives and let Dedicated Computing help with the software stack.
- Improve system uptime. Proactive monitoring and management improves reliability and corrects potential failures before they become a reality, avoiding downtime and reducing security threats associated with software stack vulnerabilities.
Powering Advanced Applications in the Proteomics Market
The proteomics market continues to expand into diagnostic and clinical laboratories, changing the way diseases are diagnosed and treated.
Original equipment manufacturers are developing tools that can generate and analyze large-scale data sets more efficiently to meet the demands for data processing and resequencing. Additionally, OEMs are reducing operational risk associated with system downtime to improve overall system performance and impact time to discovery in research applications.
As technology advances and groundbreaking discoveries are being made, high performance and reliable computing systems continue to be a priority.