What You Should Know:
– At Cloud Next ’24, Bayer and Google Cloud are teaming up to develop artificial intelligence (AI) solutions that empower radiologists and ultimately improve patient care.
– This collaboration centers on expanding Bayer’s innovation platform, designed to streamline the development and deployment of AI-powered applications specifically for radiology. By leveraging Google Cloud’s technology, including generative AI (gen AI) tools, Bayer aims to overcome common challenges in building secure and scalable medical imaging software. This paves the way for faster development of impactful solutions that benefit patients.
The Challenge of Medical Imaging Data
Medical imaging data makes up a staggering 90% of all healthcare data, posing a significant challenge due to its complexity and volume. Billions of images are scanned globally each year, burdening radiologists and healthcare professionals with interpretation and analysis. This collaboration aims to address this challenge by developing innovative AI tools to manage and analyze this vast amount of data efficiently.
Bayer’s Innovation Platform: Streamlining AI Development
Built on Google Cloud’s infrastructure, Bayer’s platform offers a comprehensive suite of tools for the entire AI development lifecycle:
- Analyze and Experiment: Users can uncover valuable insights using AI-powered data analysis and access a data ecosystem for designing innovative healthcare solutions. Additionally, intelligent search and data preparation capabilities are available, along with the ability to explore regulations and scientific papers within a secure collaboration environment.
- Build and Validate: Developers can leverage gen AI for ideation, development, validation, and lifecycle management of AI solutions. The platform allows generation of documents aligned with healthcare regulations, facilitating regulatory approval. Medical imaging core lab services from Bayer further aid in clinical performance evaluation.
- Launch and Monitor: Healthcare and life science companies can deploy standardized gen AI solutions designed for seamless integration across compatible healthcare systems. The platform also enables field data analysis for insights, bias detection, and continuous improvement.
Data Privacy and Security at the Forefront
Life science companies face stringent data security, compliance, and privacy regulations. Google Cloud addresses this need with industry-leading security capabilities like Chronicle and Mandiant. These tools empower users to centrally manage, monitor, and govern data, ensuring quality, accuracy, and consistency. Additionally, Google Cloud customers always retain control over their data.
In healthcare settings, Google Cloud’s infrastructure and data storage adhere to HIPAA and GDPR compliance standards, providing an extra layer of security on top of each customer’s existing security and privacy controls.
“Radiology plays a vital role in healthcare, and the need to efficiently and accurately uncover insights and deliver solutions at scale that can improve patient outcomes has never been greater,” said Nelson Ambrogio, president, Radiology at Bayer. “Bayer has a heritage in radiology with decades of contributions to radiological research and innovation. Through the collaboration with Google Cloud, our joint efforts will help organizations in the healthcare and life science industry transform the growing amounts of data into valuable and impactful insights, saving radiologists time and helping them optimize their important work for the benefit of patients.”
