Machine learning methods in sports injury prediction and prevention
Machine learning (ML) methods could be helpful in injury prediction and prevention, so which ML methods are currently used and are they accurate?
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29/03/2022
Spin-offs in Sports Tech #7: Elipsys
For the 7th article in our series about academic spin-offs in sports tech, we spoke with Adam Kiefer, CEO & Co-founder at Elipsys. Elipsys creates evidence-based learning models that support…
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21/03/2022
Webinar insights - Marketing & communication actions for Sports & Health tech professionals
In this guest article Julie Vandenhouweele sums up a few take-aways from our webinar on 16/03, in which she was a panelist together with Alfred Campenaerts and Cheri Bradish.
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01/03/2022
Webinar insights - Product design & development in Academia, Industry and Sports practice
Here's a summary of the most interesting insights from our webinar on 23/02. Our 3 panelists were: Dries De Roeck, Ine Van Caekenberghe and Jan Stryckers.
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22/02/2022
Sports Information Systems: a comparison for categorization
Requirements for Sports Information Systems (SIS) are very heterogeneous, so which fields, features and functions do SIS actually cover?
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08/02/2022
Spin-offs in Sports Tech #6: Runeasi
Introduction
For the 6th article in our series about academic spin-offs in sports tech, we spoke with Kurt Schütte, CEO & Co-founder at Runeasi. Runeasi offers evidence-based biomechanical…
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11/01/2022
The role of stakeholder engagement in sport and exercise medicine
The right amount of stakeholder engagement is crucial for innovation in sports and exercise medicine, but how to identify the right amount?
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22/12/2021
Sports Data Visualization Insights
How can we create visualizations of data in sports that are accurate, clear, and actually useful to the end-user?
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13/12/2021
The use of artificial intelligence in sports medicine
Artificial Intelligence techniques can transform the field of orthopaedics and sports medicine, but to which aspects will AI add the most value?