Advancing R&D by Incorporating Medical Imaging at Scale
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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Flywheel for Reader Studies: Demo
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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[Listen] Enterprise-Scale Imaging Data Science: Future-Ready Strategies
Listen to our 2022 RSNA panel discussion among experts in data science, governance, hardware, and software to learn how organizations are building smart data frameworks to power research.
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Diverse Datasets — How to Find, Curate & Leverage them to Fuel AI Research
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 Enterprise Demo
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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Medical Imaging in R&D — Streamlining Reader Workflows
Administering reader workflows for annotation has traditionally been a challenge. Join Flywheel’s experts for a look at how annotation and labeling can work at scale in life sciences organizations.
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Data Sharing and Reuse for Healthcare Innovation: Preparing for the NIH Mandate and Beyond
Data sharing is now an urgent matter for NIH-funded researchers, with new mandates going into effect in January 2023. Learn about tools for complying, plus optimizing data for sharing and reuse.
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Leveraging Imaging AI for Pharma Breakthroughs: What’s Next?
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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FAIRifying Medical Imaging Data: Accelerating Large-Scale Data Initiatives
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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Leveraging Next-Generation Tools for Enterprise-Level Dataset Creation
The University of Texas Medical Branch has implemented a platform for streamlining the creation of radiology and pathology datasets, enabling more efficient collaborations.
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Breaking Down Research Data Silos for Accelerated Innovation
Experts from pharma, medical device, and research backgrounds discuss how organizations can accelerate pharma innovation by breaking down data silos.
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Inside the Mind of a Data Scientist: Anisha Keshavan
If you’re curious about how Flywheel’s openness and extensibility can come to life in the hands of a power user, don’t miss this chat with Anisha Keshavan, senior data scientist at Octave Bioscience.
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Accelerating Clinical Research with Automated Workflows for Personalized TMS Treatment
Stanford Medicine’s Brain Stimulation Lab is managing large volumes of complex psychiatric data in its research and clinical trials on treatment-resistant depression. In this webinar, Dr. Azeezat Azee
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Unlocking AI on Medical Imaging Data
There’s been a large increase in organizations using AI to extract insights from medical data. As the volume and diversity of medical imaging data increases, however, deep learning pipelines can easil
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What is Flywheel?
Check out our explainer video for a look at how Flywheel helps researchers capture, curate, compute, and collaborate with medical imaging data.
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Powering Secure Data Discovery Across a Global Network of Innovators: What Will It Take?
Getting your hands on diverse, secure data in volumes needed to build robust AI algorithms is notoriously difficult. And it stymies innovation. Thankfully, times are changing. In this webinar, Jim O
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Unlocking Precision Medicine: Streamlining Data Management for Multi-Site Brain Injury Research
Precision neuroscience has the potential to revolutionize diagnosis, treatment, and rehabilitation for the growing incidence of traumatic brain injury (TBI). To pave the way for a new era of clinical
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Cloud-Scale COVID-19 AI Research and Collaboration in Radiology
Data management is a key component to developing AI software. Organizations need adaptable, scalable infrastructure that can provide access to curated data while maintaining strict privacy and complia
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Customer Success Story: CMU-Pitt BRIDGE Center Standardizes on BIDS with Flywheel
In this conversation with Dr. Timothy Verstynen, Co-Director at the Carnegie Mellon University - University of Pittsburgh BRIDGE Center, hear how the Center addresses the problem of increasing data co
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Solving Imaging AI Problems | Enabling COVID19 Research at the University of Wisconsin with NVIDIA
Data management is key to the development of AI and often accounts for 80% of researchers' workload leaving minimal time for analysis. There are many challenges to getting high-quality data into the h
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![[Listen] Enterprise-Scale Imaging Data Science: Future-Ready Strategies](https://content.cdntwrk.com/mediaproxy?url=https%3A%2F%2Fcontent.cdntwrk.com%2Ffiles%2FaHViPTEyODU4MiZjbWQ9aXRlbWVkaXRvcmltYWdlJmZpbGVuYW1lPWl0ZW1lZGl0b3JpbWFnZV82MjdkNTAzNjIxODUwLnBuZyZ2ZXJzaW9uPTAwMDAmc2lnPTQ5ZTdlZTJkOTg0NDA3ZDA1YmEzYzFmMDg0MThkMTdh&size=1&version=1684793734&sig=c96a352a1b9cef4d164295bc34ee41f9&default=hubs%2Ftilebg-videos.jpg)
