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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View our resources for AI developers to understand more about how Flywheel automates data curation and streamlines machine learning processes.
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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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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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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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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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Health System Informatics Leader Uses Flywheel to Create AI-Ready Data Sets
Dr. Peter McCaffrey at UTMB is leveraging Flywheel to enable research collaborations and make AI-ready data sets. Read the details of his unique approach.
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Federated Learning: A Different Type of House Call
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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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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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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Enabling Scalable AI with Medical Imaging
Flywheel is a research data and collaboration management platform that standardizes and automates data processes and computation. Our solution consolidates and integrates medical imaging and associate
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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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Drug Discovery & Development: How federated learning can enable faster, more accurate pharmaceutical-grade AI
Flywheel CEO Jim Olson wrote for Drug Discovery & Development on the potential of federated learning for improving pharma AI.
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Federated learning project connects pharma with university to train AI model
Read how Flywheel facilitated a federated learning project between a pharma company and a university with an AI model trained on x-ray data.
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HIT Consultant: Transforming Healthcare with Medical Imaging AI
Read insights from our Chief Strategist, Travis Richardson, in HIT Consultant. Travis discusses how organizations need tools that help find, cleanse, and organize data to fuel AI breakthroughs.
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Data Curation and Machine Learning
Co-Founder Gunnar Schaefer speaks about the Machine Learning lifecycle in Flywheel. 1:15 What is Flywheel? 8:30 Data Curation for Machine Learning 11:20 Data Curation with Flywheel 15:20 Exploring Res
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Drug Discovery & Development: Fueling breakthroughs in pharma AI: 3 critical factors
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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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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Advanced Search for Finding and Repurposing Data
Flywheel's powerful Advanced Search capability allows users to construct complex queries and quickly pinpoint the data they need.
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Radiologist Uses Flywheel to Accelerate COVID19 Reader Study
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Scaling Data Management for Machine Learning
To enable improved outcomes and quality of care and to accelerate AI research, researchers need access to clinical data. However, these data are often large and complex and not ready for machine learn
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