Matt Fillingim

52 posts

Matt Fillingim

Matt Fillingim

@FillingimMatt

PhD neuroscientist | Biomedical data scientist Pain, biomarkers, and large-scale human data

Montréal, Québec Katılım Aralık 2011
237 Takip Edilen123 Takipçiler
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Matt Fillingim
Matt Fillingim@FillingimMatt·
Thrilled to share our new paper in @NatureHumBehav! nature.com/articles/s4156… We show that combining biological 🧬 and psychosocial 📋 data offers a much stronger, more reliable path to predicting pain and diagnosis. 🧵
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Choong-Wan (Wani) Woo
Choong-Wan (Wani) Woo@choongwanwoo·
New paper w/ @_LeeJaeJoong_ in Nat Neurosci!🧠 We developed personalized fMRI predictive models tracking ongoing spontaneous pain in chronic pain patients, trained on 6+ mo. of densely sampled data. A true team effort. Deeply grateful to our participants! doi.org/10.1038/s41593…
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⚡️GREG_CORDER⚡️
⚡️GREG_CORDER⚡️@FlyBottleEscape·
Yes, been saying/doing this for years .. publish when you have a complete story that is fully vetted, and preprint along the journey I constantly get comments “this could’ve been 4-5 papers”; like no, you weren’t gonna read all that. Here is the whole picture in front of you
Oded Rechavi@OdedRechavi

The way to accelerate science is to SLOW it down. Fewer papers please! We’re drowning in meaningless text. One GREAT paper per lab per decade is more than enough. q.e.d 👇

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Crémieux
Crémieux@cremieuxrecueil·
Phenotyping is the vast, minimally-explored frontier in genome-wide association studies. Important thread🧵 Briefly, phenotyping is how you measure people's traits. Measure poorly, get bad results; measure well, get good results. Example? Janky knees.
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Dr. Rachel Zoffness
Dr. Rachel Zoffness@DrZoffness·
🔥Most important paper of 2025🔥 👉Injury/disease don't reliably predict pain 👉Biomarkers alone can't explain pain 👉PSYCHOSOCIAL factors reliably predict chronic pain 👉Painful conditions can be predicted from the SYNERGY btwn bio + psychosocial factors tinyurl.com/jiksh
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Gianluca Guglietti
Gianluca Guglietti@GVG_Neuro·
Great paper demonstrating how taking into account the social context of your participants can improve your understanding and accuracy of your biomarkers. An essential read! congrats @FillingimMatt on a great paper!
Matt Fillingim@FillingimMatt

Thrilled to share our new paper in @NatureHumBehav! nature.com/articles/s4156… We show that combining biological 🧬 and psychosocial 📋 data offers a much stronger, more reliable path to predicting pain and diagnosis. 🧵

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Etienne Vachon-Presseau
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
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Matt Fillingim
Matt Fillingim@FillingimMatt·
@NatureHumBehav Grateful to see this work featured—huge thanks to the Nature Human Behaviour team and to my co-authors. We hope this study encourages broader integration of biological and psychosocial data in pain research and clinical care.
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Matt Fillingim
Matt Fillingim@FillingimMatt·
Adding psychosocial context dramatically improved prediction accuracy across all pain phenotypes. 🧬 + 📋 = 🔍 This synergy paints a richer picture of pain vulnerability and brings us closer to personalized pain care.
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Matt Fillingim
Matt Fillingim@FillingimMatt·
Thrilled to share our new paper in @NatureHumBehav! nature.com/articles/s4156… We show that combining biological 🧬 and psychosocial 📋 data offers a much stronger, more reliable path to predicting pain and diagnosis. 🧵
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