Webinars & Videos

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.

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

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

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

Flywheel Exchange Demo

Introducing our new global network for data sharing and analysis, Flywheel Exchange. Connect with researchers around the world to browse and share data, identify collaborators for projects, and levera

Flywheel 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

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

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

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

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

Accelerating Clinical Research and Collaboration through Improved Data Management

As an industry leader working with clinical, academic and life sciences research organizations, Flywheel can help you access and organize clinical data to accelerate your AI and precision care strateg

SCOPE: Accelerating Enterprise-Scale Medical Imaging R&D for Innovation and Discovery

At Flywheel, we have developed an enterprise-scale research data management solution for medical imaging and associated data types. Drawing upon experience in the Life Sciences, Can Akgun discusses st

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

Flywheel for Imaging Research

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

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

Enabling AI and Machine Learning Discovery with Flywheel

Chief Product Officer Travis Richardson introduces data management and curation tools and support for training machine learning in Flywheel.

Multi-Site Collaboration with Flywheel

Chief Product Officer Travis Richardson discusses how Flywheel can be used to share data and algorithms for multi-site research.

Multi-Modality Research with Flywheel

Chief Product Officer Travis Richardson discusses how Flywheel manages imaging and related non-imaging data.