Étienne Vachon-Presseau
@evp82.bsky.social
160 followers 230 following 5 posts
Assistant professor McGill University. Researcher in chronic pain.
Posts Media Videos Starter Packs
Reposted by Étienne Vachon-Presseau
sandrawoodsmtl.bsky.social
Breaking #chronicpain news! 📺
Watch Global News Montréal at 1730 or @globalnews.ca National at 1830, for interviews by reporter Felicia Parrillo ...
Featuring @evp82.bsky.social & Dr. Mark Ware, & me - as a chronic pain patient & advocate - about why these pain research results matter!💥
evp82.bsky.social
Our new @NatureHumBehav paper shows why we need a holistic pain biomarker framework. ML on blood tests, brain/bone imaging & genetics predicts clinical diagnoses but falls short on subjective pain. Adding psychosocial (mood, sleep, stress) boosts both. shorturl.at/vxxeO
Biological markers and psychosocial factors predict chronic pain conditions - Nature Human Behaviour
Fillingim et al. show that biological and psychosocial factors jointly predict conditions associated with chronic pain.
shorturl.at
Reposted by Étienne Vachon-Presseau
torwager.bsky.social
Chronic #pain involves changes in multiple brain systems for nociception, threat, and reward. What self-management practices can help us live with or even reverse these changes? Cognitive, behavioral, and #digitalhealth strategies can help! New review in Lancet:
authors.elsevier.com/a/1l5%7EfV-4...
authors.elsevier.com
evp82.bsky.social
Our new @NatureHumBehav paper shows why we need a holistic pain biomarker framework. ML on blood tests, brain/bone imaging & genetics predicts clinical diagnoses but falls short on subjective pain. Adding psychosocial (mood, sleep, stress) boosts both. shorturl.at/vxxeO
Biological markers and psychosocial factors predict chronic pain conditions - Nature Human Behaviour
Fillingim et al. show that biological and psychosocial factors jointly predict conditions associated with chronic pain.
shorturl.at
evp82.bsky.social
Our new @NatureComms paper: We used UK Biobank data (n≈193K) to build ML models predicting tinnitus presence (driven by hearing health) and severity (influenced by mood, neuroticism & sleep). A simple 6-item POST questionnaire forecasts 9-yr outcomes. shorturl.at/4AF4P
Tinnitus risk factors and its evolution over time - Nature Communications
Improving tinnitus prevention and clinical management by identifying key associated risk factors is crucial. Here, the authors use machine learning in a large cohort to identify key predictors of tinn...
shorturl.at
evp82.bsky.social
You got to win it twice in a row…