Startup unifies lab management to pave the way for Big Data analytics
Customer Company Size
SME
Region
- America
Country
- United States
Product
- Benchling Notebook
- Benchling Registry
- Benchling Inventory
Tech Stack
- Big Data Analytics
- CRISPR/Cas9
- Data Harmonization
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Innovation Output
Technology Category
- Analytics & Modeling - Big Data Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Life Sciences
- Healthcare & Hospitals
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Predictive Maintenance
- Inventory Management
Services
- Data Science Services
- System Integration
About The Customer
Spotlight Therapeutics is a pioneering company in the field of cell-targeted in vivo CRISPR gene editing. They are creating a new class of programmable ribonucleoproteins called Targeted Active Gene Editors (TAGE). These modular biologic constructs are engineered to overcome the current limitations of viral and nanoparticle delivery. The company is an early adopter of Benchling, initially using just Benchling Notebook to record experiments. As they’ve grown and matured their technology, they’ve expanded their Benchling usage to eliminate manual inventory management, enable big data queries, and increase the speed of collaboration. The company is based in Hayward, CA and has between 11 to 50 employees.
The Challenge
Spotlight Therapeutics faced several challenges in their lab management. Their inventory management system was prone to human error and created bottlenecks as it was managed by a single person using spreadsheets. This was inefficient and led to errors. Additionally, they lacked a data infrastructure that would allow them to run big data analysis, which was crucial for their discovery platform. Their data lacked the structure and standardization necessary for big data analytics. Furthermore, their unconnected note-taking, lab management, and data interpretation systems encouraged siloed work rather than collaborative work.
The Solution
Spotlight Therapeutics implemented Benchling Registry and Inventory to automate their manual inventory management process. This empowered the team to track usage and availability of common reagents, reducing administrative time and freeing up time for scientific progress. They also unified naming conventions and established standard fields for data capture. With uniform data fields, the team could quickly query across all affinity experiments to find patterns and trends. This set up a clear structure for their data, opening up a world of interesting questions that Spotlight could now explore. The standardized data also had benefits beyond data analysis. It provided a reliable framework to store and share data, which was key to tracking continuous scientific progress, crucial for attracting future investors. Standardized data capture, coupled with custom tools built on Benchling’s APIs, also saved scientists time both for uploading new data and gathering insights.
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
Harnessing real-time data to give a holistic picture of patient health
Every day, vast quantities of data are collected about patients as they pass through health service organizations—from operational data such as treatment history and medications to physiological data captured by medical devices. The insights hidden within this treasure trove of data can be used to support more personalized treatments, more accurate diagnosis and more advanced preparative care. But since the information is generated faster than most organizations can consume it, unlocking the power of this big data can be a struggle. This type of predictive approach not only improves patient care—it also helps to reduce costs, because in the healthcare industry, prevention is almost always more cost-effective than treatment. However, collecting, analyzing and presenting these data-streams in a way that clinicians can easily understand can pose a significant technical challenge.
