Tackling the Challenges of Imaging-Based AI in Pharma R&D
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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Check out our article collection for insights from Flywheel on platform updates, how our users are tackling challenges in research data management, and more.
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How to Remove Barriers, Accelerate Timelines and Improve Outcomes Using Medical Imaging in R&D
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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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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Harnessing the untapped potential of legacy data in pharma R&D
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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Reimagining the Future of Biomedical Research
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Streamlining Data Management for Multi-Site Traumatic Brain Injury Research
Read how 19 institutions are collaborating on Flywheel on the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study.
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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.
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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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5 Common Data Management Problems Affecting Drug Discovery
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Radiologist Uses Flywheel to Accelerate COVID19 Reader Study
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Automating Workflows in Stanford’s Brain Stimulation Lab
Read how Dr. Azeezat Azeez and her collaborators are using Flywheel to automate research workflows for Stanford Neuromodulation Therapy.
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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.
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Enabling Scientific Collaboration at UCI Yassa Lab
The Yassa Lab at UC Irvine uses Flywheel as its data platform for a multicenter collaboration on biomarkers of Alzheimer's disease in Down syndrome. Its success has driven further adoption in the lab.
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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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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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Top 5 Reasons Your Life Sciences Organization Needs Modern Medical Imaging Infrastructure
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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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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.
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Modern AI Deployments for Advancing Patient Outcomes
Subtle Medical uses Flywheel, a research data management platform supporting medical image processing, medical image quality, and algorithm validation, to develop radiology AI.
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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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