How Bayer Radiology Uses Database for AI to Disrupt Healthcare with GenAI
Learn how Bayer Radiology, a division of a pharmaceutical powerhouse, used a secure, efficient, & scalable database for AI to pioneer medical GenAI workflows
Process AI Data in Days
Introduction
Bayer Radiology, a unit of a renowned pharmaceutical company solving pressing societal issues across healthcare and life sciences, faced an increasingly common challenge in large organizations of making their multi-modal biomedical data universally valuable for various users for AI purposes.
Steffen Vogler, a Senior Imaging Technology Scientist at Bayer Radiology, noted that AI developers were spending around 50% of their time making their data AI-ready. They required a platform that could enable internal researchers and partners to build AI medical software while maintaining high standards of scientific rigor.
The goal was to find an efficient, flexible, and scalable database for AI. The search for a suitable solution led Steffen and his team to Deep Lake.
The Challenge
Bayer Radiology’s primary challenge lies in the time-consuming data preparation process for AI. Developers had to manage complex data subsets, control data versions, and constantly add new data to their projects.
The multimodality of data – image class, electronic health records, lab data, genomics, proteomics – further complicated matters.
"The elephant in the room is it takes a lot of time to reach the finish line. Especially the data curation part."
Steffen Vogler
Senior Imaging Technology Scientist, Bayer Radiology
Activeloop's Solution
To overcome these challenges, Bayer Radiology implemented Activeloop’s Deep Lake solution. Deep Lake unifies different data modalities into a single storage solution that can be streamed for pre-processing, training, and inference. The solution was deployed on Bayer Radiology’s Google Cloud account, allowing for efficient search or inference capabilities and the ability to fine-tune own models.
Activeloop's Tensor Query Engine
Querying datasets is a critical aspect of data science workflows that enables users to filter datasets and focus their work on the most relevant data. Deep Lake offers a highly-performant query engine for filtering your data, generating SQL-like queries from natural language.
"We went from a GitHub issue to a working prototype I could use in under 3 weeks."
Steffen Vogler
Senior Imaging Technology Scientist, Bayer Radiology
"It's next-level. We've enabled a new human-machine interface that is natural to use and yields high-accuracy results for end-users."
Steffen Vogler
Senior Imaging Technology Scientist, Bayer RadiologyResults
In only 2 weeks, Activeloop was fully integrated into Bayer Radiology’s enterprise cloud platform. The time spent on data preparation was reduced from 50% to a mere fraction, allowing developers to focus more on optimizing AI architectures.
Notably, the solution prioritizes security, adeptly managing sensitive data within Bayer Radiology’s secure data centers, essential for safeguarding Personally Identifiable Information (PII).
2 weeks
Time to IntegrateProcess AI Data in Days
Instead of Spending Up to 50% of Project TimeWords instead of SQL
In-App Chat with Biomedical Data below
Future Plans
Bayer Radiology’s collaboration with Activeloop and the successful implementation of Deep Lake has paved the way for future collaborations.
Chat with multi-modal data, at scale
Powered by Intel
The Intel RISE and Intel Disruptor Initiative Program further bolstered Bayer Radiology’s collaboration with Activeloop. Intel technology was used at multiple stages in the project, including feature extraction and processing large batches of data. Intel Xeon 4th Generation processors, powering Activeloop’s Tensor Query Engine, facilitated quick and efficient queries across millions of scans, significantly shortening innovation cycles.
As Bayer Radiology continues to innovate and push the boundaries of AI in healthcare, Activeloop’s Deep Lake, powered by Intel technology, remains an integral part of its AI tech stack.
Overall, the collaboration between Bayer Radiology, Activeloop, and Intel showcases a successful example of combining cutting-edge technology with heavily regulated industry needs to deliver a sizeable impact. This collaboration promises to redefine how AI enables the pharmaceutical and healthcare industry, with Bayer Radiology leading the charge.
"The Intel RISE program gave us flexibility and room to experiment, setting us up for success."
Steffen Vogler
Senior Imaging Technology Scientist, Bayer Radiology
“I am confident that adopting Activeloop was a value-add through improved innovation that will compound as our AI operations grow.”
Steffen Vogler
Senior Imaging Technology Scientist, Bayer Radiology“The collaboration between Intel, Bayer, and Activeloop highlights the critical role of fast-paced innovation and economic scalability in advancing healthcare AI. Utilizing Intel’s latest AI Hardware and IA based software assets, Bayer has unlocked the full potential of Activeloop Deep Lake. This collaboration has not only delivered significant performance enhancements but also achieved a more cost-effective approach to AI initiatives, paving the way for future advancements in the sector.”
Arijit Bandyopadhyay
CTO of Enterprise Analytics & AI, Head of Strategy Cloud and Enterprise – CSV Group, Intel Corporation
- Bayer's GenAI Initiative: Information is based on data available as of my last update in January 2022. Additional details may have emerged since that date.
- Radiology Transformation: Further details about the transformation of radiology using GenAI from Bayer may be provided by official Bayer sources or published scientific papers.
- Database for AI: Information about the artificial intelligence (AI) database within this initiative is based on data provided by Bayer. Additional technical details may be available in official technical reports or press releases from the company.
- GenAI Impact on Data Preparation: Information about the reduction in data preparation time is provided based on available project information. Actual results may vary depending on specific project conditions and settings.
- Innovation and Research: For more detailed information on how Bayer utilizes artificial intelligence in radiology, it is recommended to refer to official company sources, publications in the field of medical science, or scientific papers presented by the company.
- Activeloop is SOC 2 Type II compliant, for more information, please see https://www.activeloop.ai/resources/activeloop-is-now-soc-2-type-ii-certified/.
Intel Disclaimers
Performance results are based on testing as of dates shown in configurations and may not reflect all publicly available updates. See backup for configuration details. No product or component can be absolutely secure.
Your costs and results may vary. For workloads and configurations, visit 4th Gen Xeon® Scalable processors at www.intel.com/processorclaims.
Results may vary.
Intel technologies may require enabled hardware, software or service activation.
Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy.
Intel® technologies may require enabled hardware, software, or service activation.
© Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries. Other names and brands may be claimed as the property of others.
Increase in Lawyer Productivity with Hercules.ai by 18.5%
Discover how Ropers Majeski, a leading law firm, utilized Hercules.AI, powered by Activeloop's cutting-edge enterprise data solutions, to achieve remarkable productivity gains and cost efficiencies with LLMs
Read more
IntelinAir faster AgriTech with Aerial Machine Learning Data Pipelines
Learn how IntelinAir, the leading crop intelligence company, transformed 1500 terabytes of aerial imagery into vital insights for farmers with scalable plug-and-play data pipelines with Activeloop and NVIDIA.
Read more
