GregoryLab
@GregoryLab7
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Our lab are interested in understanding the non-motor manifestations of motor neuron disease including cognition and the gut-brain axis.
Aberdeen, Scotland
Joined August 2021
At our Annual Meeting, Dr. Jenna Gregory shared how her team is bringing oncology-style precision to ALS—studying how T cells behave differently with #ALS. Her findings, through research we fund, offer clues for better treatment. Sign up to learn more: https://t.co/cIsItEAG1S
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#ENCALS2025 in Turin is over, but we’ve had an amazing time presenting our team’s (@GregoryLab7) work as posters and oral presentations. A wonderful demonstration of the excellent translational neuroscience research going on @aberdeenuni. Can’t wait for Madrid next year! ⭐️🤩⭐️
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@GregoryLab7 will be in Turin next week for #ENCALS2025 🇮🇹⭐️🤓 Interested in biomarkers for early disease detection (precision prevention) and treatment stratification (precision medicine) in ALS/FTD? Come and find us in the session detailed below. @FergalWaldron @HollySneuro
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In our new preprint we report improved detection of TDP-43 in non-CNS tissues prior to symptom onset in #ALS #MND, using an RNA aptamer– from peripheral organs including skin, GI tract and lymph node, between 1-14 years prior to clinical diagnosis. https://t.co/cVRd6mO13B
biorxiv.org
A recently developed TDP-43 RNA aptamer (TDP-43APT) with greater sensitivity and specificity for detecting pathological TDP-43, compared to currently available antibodies, has revealed novel pathol...
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There is still time to register for #BNA2025. Be sure not to miss our symposium highlighting UK MND translational research. Thanks to @MNDScotland, @MNDoddie5 & @mndassoc for organising a great session.
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Take a look at our recent Lancet Neurology review. Amyotrophic lateral sclerosis caused by TARDBP mutations: https://t.co/yXkRg4ePPe It’s been a huge privilege working with this incredible writing team and we hope you enjoy reading it. ⭐️🤩🤓🤩⭐️
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Excited to share our preprint: "𝐎𝐫𝐠𝐚𝐧𝐞𝐥𝐥𝐨𝐦𝐢𝐜𝐬: 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐝𝐞𝐞𝐩 𝐨𝐫𝐠𝐚𝐧𝐞𝐥𝐥𝐚𝐫 𝐩𝐡𝐞𝐧𝐨𝐭𝐲𝐩𝐢𝐧𝐠 𝐫𝐞𝐯𝐞𝐚𝐥𝐬 𝐧𝐨𝐯𝐞𝐥 𝐀𝐋𝐒 𝐦𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐦𝐬 𝐢𝐧 𝐡𝐮𝐦𝐚𝐧 𝐧𝐞𝐮𝐫𝐨𝐧𝐬"
🚀𝐕𝐢𝐬𝐢𝐨𝐧-𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐬-𝐛𝐚𝐬𝐞𝐝 𝐨𝐫𝐠𝐚𝐧𝐞𝐥𝐥𝐚𝐫 𝐩𝐡𝐞𝐧𝐨𝐭𝐲𝐩𝐢𝐧𝐠 𝐮𝐧𝐯𝐞𝐢𝐥𝐬 𝐡𝐢𝐝𝐝𝐞𝐧 𝐀𝐋𝐒 𝐦𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐦𝐬! 🧵 Thread on 𝘕𝘖𝘝𝘈 (𝘕𝘦𝘶𝘳𝘰𝘯𝘢𝘭 𝘖𝘳𝘨𝘢𝘯𝘦𝘭𝘭𝘰𝘮𝘪𝘤𝘴 𝘝𝘪𝘴𝘪𝘰𝘯 𝘈𝘵𝘭𝘢𝘴)🎗️ our deep-learning model trained with
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Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models @GregoryLab7
https://t.co/4N45XyThJr
nature.com
Scientific Reports - Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models
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Our team (@GregoryLab7, @HollySneuro & @FergalWaldron) is delighted to share some recent work from machine learning expert @MV_Research. It’s always a pleasure to contribute to collaborative projects especially with Marta and her incredible team. https://t.co/DLVr5dhjlp.
nature.com
Scientific Reports - Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models
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MND Scotland expresses gratitude to the female researchers contributing to our understanding of MND and enhancing the quality of life for those affected. Some have received funding from us, while others are part of our Scientific Advisory Panel 💙 #WomenInScienceDay #WomenInSTEM
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Fantastic work lead by Holly Spence @HollySneuro - happy to have contributed!
⭐️New preprint - Machine learning identifies predictors of cognitive dysfunction⭐ (1/4) Population-level risk factors exist for dementia & related neurodegenerative diseases – how do these relate to individual risk? 🤔 https://t.co/O5LM5QD4x7
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⭐️New preprint - Machine learning identifies predictors of cognitive dysfunction⭐ Population-level risk factors exist for dementia & related neurodegenerative diseases – how do these relate to individual risk? 🤔
Machine learning identifies routine blood tests as accurate predictive measures of pollution-dependent poor cognitive function https://t.co/eXsqAm1WvJ
#biorxiv_neursci
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⭐️New preprint - Machine learning identifies predictors of cognitive dysfunction⭐ (1/4) Population-level risk factors exist for dementia & related neurodegenerative diseases – how do these relate to individual risk? 🤔 https://t.co/O5LM5QD4x7
biorxiv.org
Background Several modifiable risk factors for dementia and related neurodegenerative diseases have been identified including education level, socio-economic status, and environmental exposures –...
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(4/4) Here, we demonstrate how routine, inexpensive medical testing & local authority initiatives could help to identify and protect at-risk individuals. This work was supported by generous funding from @NIH @CSO_Scotland @TargetALS_fdn @wellcometrust 🤓 https://t.co/O5LM5QD4x7
biorxiv.org
Background Several modifiable risk factors for dementia and related neurodegenerative diseases have been identified including education level, socio-economic status, and environmental exposures –...
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(3/4) The most predictive risk factors of individual cognitive dysfunction out of >450 features evaluated in our deeply phenotyped cohort were: 💭Low and high haemoglobin levels 💭Pollutants typical of vehicle emissions 💭Region specific brain volumes https://t.co/O5LM5QD4x7
biorxiv.org
Background Several modifiable risk factors for dementia and related neurodegenerative diseases have been identified including education level, socio-economic status, and environmental exposures –...
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(2/4) Here, we use a machine learning approach to identify predictors of poor cognition in a deeply phenotyped @genscot cohort of 324 individuals – we assess >450 environmental, social, and biometric risk factors, and their impact on cognitive health. https://t.co/O5LM5QD4x7
biorxiv.org
Background Several modifiable risk factors for dementia and related neurodegenerative diseases have been identified including education level, socio-economic status, and environmental exposures –...
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⭐️New preprint - Machine learning identifies predictors of cognitive dysfunction⭐ Population-level risk factors exist for dementia & related neurodegenerative diseases – how do these relate to individual risk? 🤔
⭐️New preprint - Machine learning identifies predictors of cognitive dysfunction⭐ (1/4) Population-level risk factors exist for dementia & related neurodegenerative diseases – how do these relate to individual risk? 🤔 https://t.co/O5LM5QD4x7
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Research highlight for 2024: Dr Jenna Gregory's team found new ways to detect MND. The TDP-43 aptamer can show early signs of the disease in brain tissue samples before the cells malfunction when standard symptoms would start to appear. Read more here:
abdn.ac.uk
Scientists from the University of Aberdeen in collaboration with the University of Edinburgh and international partners, have identified a new way to detect signs of motor neurone disease (MND) in...
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