In this series, we’re going behind the technology to take a look at the people that make Flywheel tick. Here, we catch up with Mehul Sampat, Flywheel’s Machine Learning Technical Lead.
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Imaging biomarkers can reflect the cumulative macroscopic effects of aging at the tissue and organ levels. Abdominal CT represents an appealing candidate for a more personalized investigation.
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Flywheel has made updates to its built-in viewer that address more of researchers’ key challenges when analyzing imaging data.
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Pablo Velasco, Ph.D., applies a background in MRI and medical physics to solve data harmonization challenges. Learn how he helps clients scale cloud computation to save weeks of their time.
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Nicolas directs our team of scientific solutions engineers, working with clients from academia to life sciences to come up with custom solutions to their greatest imaging challenges.
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AI-enhanced medical imaging in oncology can reveal deeper insights. Challenges include data variability and privacy concerns, but platforms like Flywheel help with data management, sharing & analysis.
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King’s College London and the Bill and Melinda Gates Foundation UNITY Project use Flywheel as a medical image sharing hub for international research into health outcomes and child brain development.
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The Medical Imaging Data Management Platform
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