ACCELERATE: LIFE SCIENCES - Institute for Computational Biomedicine at Weill Cornell Medical College Implements Scalable Solution for Genomics and Epigenomics Research
Customer Company Size
Large Corporate
Region
- America
- Middle East
Country
- United States
- Qatar
Product
- Storage Fusion Architecture®
- GRIDScaler® parallel file system
- DDN® storage
Tech Stack
- High Performance Computing (HPC)
- Parallel File-Store Solution
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
Technology Category
- Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Industries
- Healthcare & Hospitals
- Life Sciences
Applicable Functions
- Product Research & Development
- Discrete Manufacturing
Use Cases
- Predictive Maintenance
- Edge Computing & Edge Intelligence
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
The Institute for Computational Biomedicine (ICB) at Weill Cornell Medical College is located on the upper east-side of Manhattan. The Institute is at the vanguard of advancements in epigenomics, genomics, proteomics and research in personalized medicine. These advances open the door to major scientific discoveries and conceptual breakthroughs. The Institute’s mission is to provide the resources and nurture the collaborative, multi-disciplinary environment that will make such breakthroughs possible. Surrounded by some of the largest genetic sequencing centers on the east coast, Weill Cornell collaborates with the New York Genome Center, New York Presbyterian Hospital, the Cornell University Center for Advanced Computing in Ithaca as well as Weill Cornell Medical College in Qatar (Middle East). Together these researchers are fundamentally shaping the future of personalized medicine.
The Challenge
The Institute for Computational Biomedicine (ICB) at Weill Cornell Medical College was facing a challenge as they expanded their neuroscience, epigenomics, proteomics imaging facilities and brought online more genetic sequencers. Their legacy methodology of organically adding autonomous storage pools was no longer capable of meeting the computational needs of the researchers. The challenge was transitioning from their legacy method of adding a single dedicated RAID array (at a time), into something that was scalable and could meet their storage needs for years to come. As the data ingest rates continued to raise, the facility needed to look into a more robust, scalable and sustainable storage approach.
The Solution
After evaluating a number of solutions they selected the DDN Storage Fusion Architecture running GRIDScaler parallel file system. This solution allowed Weill Cornell to start with two controllers and ten partially populated 60-slot trays and then grow the system to petabytes with a pay-as-you-grow plan. With this approach, they were able to maximize the dollars/GB while they incrementally scale performance and capacity by just adding disks. Another advantage of the DDN approach was that the SFA10K dual controllers could drive up to 20 trays with sixty (60) spinning or solid-state drives per tray. This level of flexibility allows the ICB to precision scale the storage pool to meet the exacting needs of the researcher’s workflows within the financial constraints of the college.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels
Case Study
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.
Case Study
HaemoCloud Global Blood Management System
1) Deliver a connected digital product system to protect and increase the differentiated value of Haemonetics blood and plasma solutions. 2) Improve patient outcomes by increasing the efficiency of blood supply flows. 3) Navigate and satisfy a complex web of global regulatory compliance requirements. 4) Reduce costly and labor-intensive maintenance procedures.
Case Study
Cloud-based healthcare solution for Royal Philips
Royal Philips wanted to launch its cloud-based healthcare solution HealthSuite Digital Platform in China to deliver services to help cope with challenges related to urbanization and population growth. Philips wanted to achieve this goal by combining mobile, cloud computing and big data technologies. To bring this platform and product to market, Philips required cloud computing and local technical service capabilities in China, in addition to a flexible IT infrastructure that could handle user requests.
