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Flywheel for Life Sciences: Product Sheet

Flywheel for Life Sciences: Product Sheet

Published Date May 2, 2022

Previous Video

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.
Next PDF

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.

Other content in this Stream

5 months ago
Accelerated Drug Development through Scalable AI-Powered Medical Imaging

We discuss how to build reliable, scalable solutions that integrate advanced AI technology and enable robust imaging data management and analysis.

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5 months ago
Algorithm Bake-Off: Comparing AI Algorithms for CT Segmentation with Flywheel Data Exchange and Jupyter Notebooks

We use one platform to conduct a comparison of two deep learning liver and kidney segmentation models, revealing the importance of complete DICOM header curation to reduce segmentation errors.

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5 months ago
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.

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7 months ago
AI in Medical Imaging: Streamlining Reader Workflows for Expedited Model Development

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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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.

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8 months ago
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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11 months ago
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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about 1 year ago
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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almost 2 years ago
Transforming R&D in a Data-Driven Life Sciences Organization

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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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.

View PDF
12 months ago
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.

Watch Video
about 2 years ago
Top 5 Reasons Your Life Sciences Organization Needs Modern Medical Imaging Infrastructure

View PDF
4 months ago
Flywheel Core 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

Watch Video
almost 2 years ago
Reimagining the Future of Biomedical Research

View PDF
9 months ago
Streamlining Reader Studies & Medical Imaging Workflows in R&D

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.

Watch Video
over 1 year ago
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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almost 2 years ago
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.

Watch Video
over 1 year ago
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.

View PDF
almost 2 years ago
Ensuring Data Security and Accessibility in Biomedical Research with Flywheel

Flywheel allows secure collaboration on biomedical data while reducing data security risks. Our data procedures and systems meet the highest standards.

Read Article
almost 2 years ago
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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