Learn how Dr. Geoffrey Manley, Chief of Neurosurgery at Zuckerberg San Francisco General Hospital, leverages Flywheel to collect and curate medical imaging from major research institutions around the country to enable real-world data repositories and foster public-private partnerships.
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 trials and clinical care using more accurate measures of TBI, researchers must collaborate to collect and analyze large volumes of multimodal data.
Learn how researchers from the TRACK-TBI network streamline data aggregation and management on Flywheel to study deep learning segmentation, identify new blood-based biomarkers, better understand tractography and depression, and develop diagnosis using information on prognosis. Join us to learn how to streamline your cloud-based data and compute management to accelerate the development of diagnostic models, innovative therapies and machine learning.
- Geoffrey T. Manley, M.D., Ph.D., Professor and Vice Chairman of Neurological Surgery, University of California, San Francisco; Chief of Neurosurgery, Zuckerberg San Francisco General Hospital
- Sina Aslan, Ph.D., Scientific Advisor, Flywheel
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 compliance standards and supporting secure sharing across multiple institutions. In this webinar, learn how a small, investigator-initiated project developed into a valuable COVID-19 chest CT dataset using Flywheel's research data management platform. You will also hear how Imbio is exploring the correlation between lung injury severity and patient prognosis, as well as developing AI to diagnose COVID-19.
Past Webinar Recordings
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 complexity by supporting research collaboration and enabling open science at the point of data access. Flywheel’s Michael Perry discusses how the centralized platform streamlines BIDS in an end-to-end solution for data management and collaboration.
Solving Large Scale Medical Imaging AI Problems
Dr. John Garrett, Director of Informatics at the University of Wisconsin Department of Radiology, discusses the state of machine learning in medical imaging and his development of AI to diagnose COVID-19 using thousands of chest X-rays collected and curated in Flywheel. Brad Genereaux explains how NVIDIA facilitates rapid AI training and Travis Richardson overviews Flywheel’s ecosystem for collaboration between academia, clinical organizations and life sciences.
SCOPE: Accelerating Enterprise-Scale Medical Imaging R&D for Innovation and Discovery
Can Akgun, SVP of Business Development at Flywheel, discusses streamlining the ingestion of diverse data from internal and external sources and Flywheel’s ability to scale processing and support machine learning workflows.