Blog

Flywheel and Mint Medical Announce Collaboration to Expedite Research and Clinical Trial Workflows with Enhanced Oncology Imaging Solution

Flywheel announced its collaboration with Mint Medical, a medical technology company providing advanced software to foster data-driven radiology. This collaboration between Flywheel and Mint Medical

Voximetry Partners with Flywheel to Assure Confidence in Data Management, Security and Privacy for Clinical Dosimetry Services

This collaboration provides secure imaging de-ID, a data transfer platform and remote dosimetry services for nuclear medicine radiopharmaceutical therapy clinics.

Velsera and Flywheel Team up to Support Multimodal Imaging Genomics Research

Flywheel and the CAVATICA data analysis and sharing platform enable researchers and patients across the world to generate new insights into pediatric diseases and ensure more inclusive research.

Unlocking the Potential of Medical Imaging as Real-World Data

Genetic Engineering & Biotechnology News: Manage Data Better or Die

The growth of AI has raised expectations for good data management and data quality. Learn how to adapt to new standards of data tagging and medical imaging data integration.

Drug Discovery & Development: Opportunities and obstacles with ML and AI development

Is it counterproductive for drug developers to squander time and resources piecing together data management infrastructure for AI? Learn about data management realities that pose challenges to AI.

Streamlining Data Management for Precision Medicine at an Imaging Core

Learn how Flywheel streamlined data access at an imaging core studying cancer biomarkers and multimodal imaging.

Flywheel and the NIH Strategic Plan for Data Science

The NIH data management and sharing mandates are now in effect. Flywheel offers a complete, enterprise-scale solution for governance and compliance with DMS policies.

Drug Discovery & Development: Accelerating R&D with FAIR data

Five Key Takeaways from RSNA 2022

At RSNA 2022, Flywheel’s team saw many advancements in AI/ML, underscoring the need for advanced data management. Here are the trends we identified.

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.

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.

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.

3 Ways to Import Your Imaging Research Data into Flywheel

There are three ways you can import imaging research data into Flywheel. Read this quick overview, and contact us for custom advice on your situation.

Flywheel to Serve as Research Platform for Understanding Pediatric Brain Development in Low- and Middle-Income Countries

Flywheel has received a grant from the Gates Foundation to support research on neurodevelopment in low- and middle-income countries (LMICs).

Smart Copy helps Flywheel sites share and manage data more efficiently

Flywheel’s Smart Copy feature gives users options for sharing and reusing data and analysis while minimizing storage use.

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.

Designing Custom Multi-Reader Studies is Streamlined with Robust Viewer Configuration Options

Multi-reader studies bring unique workflow requirements to optimize data capture. Flywheel gives researchers custom configuration options.

Advancing Imaging Research: Focus on Precision Medicine and AI

To speed development of precision medicine, researchers need tools to reduce time spent on managing data and IT tasks so they can focus on analysis.