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Eduardo Martinez-Valdes

@dredumartinez.bsky.social

Assistant Professor in Physiotherapy/Neuromechanics - School of Sport, Exercise and Rehabilitation Sciences - University of Birmingham, UK

2 Posts149 Follower99 Folgt
Eduardo Martinez-Valdes@dredumartinez.bsky.social · 8mo ago

Reduced knee extensor torque steadiness and increased motor unit discharge rate variability in young people with patellofemoral pain: a pilot study - our latest study led by the great @Michalis_Arv is published in @EJAP_official open access below link.springer.com/article/10.1...

Reduced knee extensor torque steadiness and increased motor unit discharge rate variability in young people with patellofemoral pain: a pilot study - European Journal of Applied Physiology

Purpose The aim of this pilot study was to evaluate differences in vasti muscle motor unit (MU) firing between individuals with current patellofemoral pain (PFP) and asymptomatic controls during subma...

link.springer.com

Eduardo Martinez-Valdes@dredumartinez.bsky.social · last yr.

‘Load and muscle-dependent changes in triceps surae motor unit firing properties in individuals with non-insertional Achilles tendinopathy’ Our latest study has just been published in @jphysiol.bsky.social - open access below

Load and muscle‐dependent changes in triceps surae motor unit firing properties in individuals with non‐insertional Achilles tendinopathy

Abstract figure legend Motor unit firing properties of the medial gastrocnemius (MG), lateral gastrocnemius (LG), and soleus (SO) muscles were assessed using high-density surface electromyography (HD....

physoc.onlinelibrary.wiley.com

STITCHES Medicine - the Best of Medical Research@medicine.stitches.today · 2y ago

AI-driven ultrasound models outperformed human examiners in detecting ovarian cancer, reducing expert referrals by 63% and enhancing patient outcomes. by Christiansen F, Konuk E (...) Epstein E et 28 al. in Nat Med #MedSky 📖 read the article:

International multicenter validation of AI-driven ultrasound detection of ovarian cancer - Nature Medicine

In a comprehensive dataset from 3,652 patients across 20 centers in eight countries, an ultrasound-based AI model shows robust performance across centers, ultrasound systems, 58 histological diagnoses and patient age groups and reduced referral to experts by 63% in a retrospective triage simulation.

nature.com