Precision medicine company: Improving patient outcomes with AI
A mission-driven precision-medicine company is providing hope to patients with its revolutionary approach to finding the right treatments. It needed help bringing together real-world data and real-world evidence to empower better patient care, so it selected Egen as a partner.
This precision-medicine company uses AI to optimize care in some of the most complex conditions, including chronic diseases, infectious diseases, cardiovascular disease, depression, diabetes, and more.
Its process involves bringing multimodal data, including text and images, into a platform architecture built on a cloud environment to better understand each patient. It combines information such as genomic sequencing data, imaging data from radiology scans, clinical data, progress notes, and physician notes. The company then structures all of this data, contextualizes it, and analyzes it with machine learning models to find the optimal treatment for the patient.
This company chose to work with Egen because it looks for partners that can help it cross-pollinate ideas and execute against them with flexibility and speed. It first asked Egen to be its partner for migrating most of its cloud presence from Amazon Web Services to Google Cloud Platform. Egen worked with the company to complete the migration and position the company to support five times its previous workload by 2025. Now, Egen and the company are working together on building a state-of-the-art real-world evidence platform on Google Cloud Marketplace.
Since its founding, the company has grown from processing information on 10 patients per month to 25,000 per month. It now processes more than 125 gigabytes of data per patient and 100 petabytes in its repository as it works to make diagnostics smarter. With Google Cloud, it is simple for the company to process all of this data securely while meeting regulatory requirements.
Along with moving the company to the cloud, Egen streamlined its data architecture and optimized its data ingestion process, leading to significant improvements in onboarding time, capacity, scalability, and maintenance efforts. This streamlining process:
- Reduced customer onboarding time by 20%
- Doubled workload capacity
- Reduced required engineering effort for data pipeline maintenance by 40%, resulting in significant savings in time and resources
Egen is also helping the company launch a data licensing approach and implement safe-harbor data standards so it can securely share large amounts of data with life science partners while fully protecting patient privacy. Egen set up pipelines for this data sharing that have streamlined the data management processes and reduced the ingestion pipeline run time to 30%. We refactored pipelines to withstand more than 100,000 files, compared to less than 20,000 earlier.
With these more efficient processes and safeguards in place, the company can keep the patient at the center of everything it does while it helps use the power of technology to bridge the clinical side of health care and the world of research.