AI meets exercise science.
A new @SportsMedicineJ study by @MuriasLab and colleagues including @felipe_mattioni and @DanielKeir1, introduces Oxynet, an AI tool for identifying CPET thresholds with expert-comparable accuracy.
๐ https://t.co/hitTkA5JPG
๐ https://t.co/j8BnCU12EZ
Bringing AI to CPET analysis ๐ซ๐ค
Our latest paper in @SportsMedicineJ introduces Oxynet - a deep learning model fine-tuned to ramp incremental protocols designed to support the detection of ventilatory thresholds.
๐ฐ Paper: https://t.co/3jO6ZBaVSR
๐ it's time for our favourite part of the year again, our last year's stats:
โ we had a total of 49k users (+40% from previous year)
โ our apps were used in a total of 120 countries
โ we have been awarded with AWS startup credits
๐งต
๐ Thrilled to announce that ExPhysLab has surpassed last year's total user count! Thank you to all the students and educators who have made our platform a success. And there's more to come - we are launching a new version by the end of this year ๐
glad to share that @exphyslab has been awarded with @AWS startup credits ๐ massive step forward in improving the platform to help Exercise Physiology students in teaching and research ๐
"Collaboration between exercise physiologists and physicians with expertise in laboratory testing and data analysis is also necessary to develop open access computational tools for a standardized analysis of exercise thresholds like the ExPhysLab platform"
https://t.co/DkOip5jPTm
๐กJust to let everyone know, our background service that handles the PDF reports was out of service for a few days due to a third party update. We have just fixed the issue and all services are now working normally.
๐ https://t.co/D6iU8lbG9M
Enjoy your analyses!
ExPhysLab - Your online and free Ex Phys Lab assistant - 2023 usage report
2023 has been an amazing year for @exphyslab and @app_thresholds ๐ with more Universities adopting it for teaching, we reached an impressive 35k users mark โ
๐ lactater - Tools for Analyzing Lactate Thresholds- v0.2.0 is out โ
in this version there is a new function lactate_curve() to retrieve the lactate data for plotting as well as the heart rate response
๐ https://t.co/sJEd60u8Kn
#rstats
Grading 140 @app_thresholds outputs from students. Here is some student feedback for you "I enjoyed using the app, and thought it was really cool to interact with!" Thanks Thresholds Team!
Love the enthusiasm in our @UofGHKin lab. Students measured blood lactate responses to progressive-maximal exercise and determined exercise @app_thresholds
๐ธ shared with permission.
our latest is now online: 'An undergraduate laboratory to study exercise thresholds' - a collaboration with @DanielKeir1@michaelrherbert@MuriasLab
we developed a new feature in @app_thresholds where you can now create exams for your students
๐ https://t.co/zV1HkVJAu1
our latest is now online: 'An undergraduate laboratory to study exercise thresholds' - a collaboration with @DanielKeir1@michaelrherbert@MuriasLab
we developed a new feature in @app_thresholds where you can now create exams for your students
๐ https://t.co/zV1HkVJAu1
Big thumbs up to @DanielKeir1, Dr. Ianneta, @MuriasLab et al., for the great @SportsMedicineJ#openaccess paper
https://t.co/kPo92gTbPU
and particularly for the freely available Exercise Thresholds App
https://t.co/OPDPga5LsG
This is how open (sport) science should look like!
the usage stats from @exphyslab continues to blow my mind ๐คฏ since its release:
โ generated 2.2k reports in the Exercise Thresholds App
โ analysed 33.8 k incremental tests in the Lactate Thresholds App
โ analysed 16.7 k critical power tests in the Critical Power App
Putting the Exercise Thresholds @app_thresholds app to good use in our @humberFHSW #ExerciseScience Lab
Thanks @DanielKeir1 et al. for developing this great teaching tool.
๐ธ used with permission.