Étienne Vachon-Presseau

@evp82.bsky.social

Assistant professor McGill University. Researcher in chronic pain.

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.

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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...

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