Browse these articles and videos to learn more about how Flywheel provides a compliant solution to accelerate imaging research for pharma, medical device, and other life science research.
Watch this webinar to gain insights from real-world pharma use cases to unlock the potential of AI. We demystify the process of labeling and annotating medical images. Learn how to efficiently guide e
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Sept 6:
AI in Medical Imaging: Streamlining Reader Workflows
See how Flywheel’s platform enables AI in pharma R&D for smarter use of large volumes of imaging & delves into the unique challenges in handling and curating data for model creation.
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Medical imaging holds a wealth of valuable data that can power pharma R&D. See how pharma leaders are harnessing this data with scalable tools, and the fundamentals for success.
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Learn how pharma researchers are accessing and efficiently leveraging diverse datasets to take advantage of the AI boom in R&D. This video covers strategies for maximizing internal and external data.
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Flywheel’s cloud-scale data management and collaboration platform is being leveraged today by large pharmaceutical companies. We have integrated our multi-modality imaging platform into the digital ec
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This article from Drug Discovery & Development explains how pharma research teams can unite legacy data, including imaging data, to better characterize disease mechanisms and therapeutic responses.
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Take a look at Flywheel's robust and fully customizable framework for designing and orchestrating reader studies. Our video shows an oncology reader study example.
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Flywheel is the revolutionary research data management platform powering healthcare innovation by accelerating collaboration, enabling machine learning, and streamlining the massive task of data aggre
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Flywheel’s experts look at the state of medical imaging workflows and reader studies and discuss how annotation and labeling can work at scale in life science R&D. Click to watch the full webinar.
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Hear experts from Flywheel and NVIDIA discuss the latest in imaging AI, and how pharma organizations are taking advantage of state-of-the-art tech. How can AI take pharma to the next level?
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The FAIR Data principles are accelerating drug design, clinical trials, and AI efforts. But working with complex data requires unique solutions. Learn how to implement FAIR across large enterprises.
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Medical imaging holds great potential in life sciences R&D, but it can be time-consuming to leverage. The right data management and computation tools can accelerate breakthroughs and improve outcomes.
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Flywheel allows secure collaboration on biomedical data while reducing data security risks. Our data procedures and systems meet the highest standards.
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Experts from pharma, medical device, and research backgrounds discuss how organizations can accelerate pharma innovation by breaking down data silos.
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Flywheel's medical director, Aaron Mintz, spoke with Radiology Today about how federated learning holds promise to accelerate breast imaging AI research and improve patient outcomes.
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Check out our article for Drug Discovery & Development calling on our experts' real-world experience with digital transformation and how pharma companies can be successful with AI.
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Flywheel CEO Jim Olson wrote for Drug Discovery & Development on the potential of federated learning for improving pharma AI.
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