Flywheel, a cloud-scale informatics platform for biomedical research and collaboration, announced the successful integration of its platform by https://www.gene.com/about-usRoche and Genentech, a member of the Roche Group, for ingestion, classification, standardization, curation and analysis of medical imaging data.

November 23, 2021 — Flywheel, a cloud-scale informatics platform for biomedical research and collaboration, announced the successful integration of its platform by Roche and Genentech, a member of the Roche Group, for ingestion, classification, standardization, curation and analysis of medical imaging data.

The secure, scalable Flywheel platform enables aggregation and management of medical imaging and associated data to accelerate drug discovery. The data is organized and processed with automated pipelines—saving significant time and minimizing the potential for human error in the drug development process. Cost and timeline efficiencies allow researchers to focus on what matters most—bringing life-changing therapies to patients faster. Moreover, Flywheel’s unique approach has enabled multi-site collaboration and development of a customized solution for Roche and Genentech’s needs.

“Manual processes to curate data at the terabyte and petabyte levels are historically costly, time-consuming and prone to human error. With our platform in place, Roche and Genentech researchers can access high-quality images for complex analysis and machine learning, ultimately speeding the development of innovative therapies,” said Jim Olson, CEO of Flywheel. “Before using the platform, this level of collaboration and analysis was simply not possible.”

“At Roche we envision a future where data, analytics and digital technologies routinely enable more targeted, efficient research and development and more integrated, personalized care,” said James Sabry, head of Roche Pharma Partnering. “The Flywheel platform enables rapid access to highly-curated imaging data, enhancing our ability to answer key scientific questions that are critical to advancing better patient care experiences and outcomes.”

Life sciences organizations are making significant investments in digital transformations that foster AI technology in hopes of improving R&D processes and bringing drugs to the market faster. Modern infrastructures are needed to aggregate, curate, and analyze a vast assortment of rich, biomedical data to support these initiatives and enable machine learning, big data analytics, and other strategic data-driven objectives.

For more information: www.flywheel.io

Additional RSNA21 conference coverage can be found here.


Related Content

Feature | Radiology Business | By Melinda Taschetta-Millane

One on One interviews with radiology trailblazers and historic FDA clearances made the top-read list for April. Take a ...

Time May 03, 2024
arrow
Feature | Radiology Business

Beginning this spring, ITN will begin sending out a bi-monthly survey to our readers on a variety of topics, which we ...

Time May 02, 2024
arrow
Feature | Information Technology | By Melinda Taschetta-Millane

The Healthcare Information and Management Systems Society (HIMSS) Global Health Conference and Exhibition brought ...

Time May 01, 2024
arrow
News | FDA

April 30, 2024 — International medical imaging IT and Cybersecurity company Sectra’s digital pathology solution together ...

Time April 30, 2024
arrow
News | Breast Imaging

April 30, 2024 — Use of publicly available large language models (LLMs) resulted in changes in breast imaging reports ...

Time April 30, 2024
arrow
Feature | Information Technology | By Jef Williams

The rapid growth of healthcare data has reached unprecedented heights, making up about 30% of the world’s stored data.¹ ...

Time April 30, 2024
arrow
Feature | Breast Imaging | By Christine Book

From implementing artificial intelligence effectively, advocating for radiologists, and working tirelessly to expand ...

Time April 29, 2024
arrow
News | Enterprise Imaging

April 25, 2024 — International medical imaging IT and cybersecurity company Sectra has signed two contracts to provide ...

Time April 25, 2024
arrow
News | Radiology Business

April 23, 2024 — A diverse writing group, led by authors at the University of Toronto, have developed an approach for ...

Time April 23, 2024
arrow
News | Artificial Intelligence

April 19, 2024 — Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology ...

Time April 22, 2024
arrow
Subscribe Now