Cue Biopharma & Benchling: Evolving into a clinical-stage organization
Company Size
50-100
Region
- America
Country
- United States
Product
- Benchling
Tech Stack
- Cloud-based data management
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Digital Expertise
- Productivity Improvements
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Healthcare & Hospitals
- Life Sciences
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Inventory Management
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
Cue Biopharma is a biopharmaceutical company that is engineering a novel class of injectable biologics to selectively engage and modulate targeted T cells directly within the patient’s body. Their approach aims to transform the treatment of cancer, infectious disease, and autoimmune disease by leveraging a natural immune response with innovative protein engineering. This approach aims to achieve a more controlled immune response, providing greater patient benefit while reducing toxicity. The company is based in Cambridge, MA, and has between 50 to 100 employees. In a push to move new safe and efficacious immunotherapies to patients, Cue Biopharma has scaled and grown into a clinical-stage company by expanding its development work in-house.
The Challenge
Cue Biopharma, a company that designs novel biologics to modify the immune system to fight diseases, was transitioning from a research-centric organization to a clinical-stage organization. This transition involved bringing early development activities in-house to achieve greater control over the types and quality of work done by their teams. However, they faced challenges with non-standardized data capture, barriers to communication and handoffs between teams, and the need for a digital infrastructure to support their growth. They were using shared spreadsheets to manage information, which posed risks such as unintended edits and duplicates. As the company tripled in size, it became increasingly difficult for key pieces of information to efficiently flow through the organization.
The Solution
Cue Biopharma utilized Benchling as their unified cloud solution to establish the data management infrastructure required for their work and establish a bidirectional flow of information between the Research and Development groups. Samantha Povlich, a Principal Scientist and Head of Analytical Outsourcing and Stability at Cue Biopharma, built a data model within Benchling that stored the name, location, history, and results of all samples in an interconnected suite of applications. This increased the throughput of information shared between scientists within and across teams, making tracking much more robust and knowledge transfer much more efficient. Samantha also created templates to empower scientists to input all experiment-relevant information into this newly centralized system. Benchling also enabled Cue Biopharma to design a request system to accommodate all testing that happens with all the different permutations of candidate molecules.
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.
