Wrapping up #ReadEmo26 with a panel led by @carien.bsky.social, as it considers new directions for neuroimaging in pain research.

The afternoon keynotes at #ReadEmo26 covered AI/computational approaches: Jan Vollert rightfully points out issues with AI in pain research, incl bias. @gvg-neuro.bsky.social hit it out of the park summarising multimodal predictions of chronic pain in biobank data.

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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Great paper demonstrating the importance of psychosocial context in bio marker research. An essential read, congrats on the awesome paper @mfilling.bsky.social!

Matt Fillingim@mfilling.bsky.social · last yr.

Thrilled to share our new paper in Nature Human Behaviour! nature.com/articles/s41... We show that combining biological 🧬 and psychosocial 📋 data offers a much stronger, more reliable path to predicting pain and diagnosis. 🧵

Recent market research at EFIC suggests I need a bluesky account, I'm clearly on the Luddite side of the social media adoption curve...