Our lab are interested in understanding the non-motor manifestations of motor neuron disease including cognition and the gut-brain axis.
Joined August 2021
- Tweets 189
- Following 401
- Followers 381
- Likes 540
29 Photos and videos
GregoryLab retweeted
23 Jun 2025
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: bit.ly/3GGRGTT
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GregoryLab retweeted
6 Jun 2025
#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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GregoryLab retweeted
31 May 2025
@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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GregoryLab retweeted
25 Apr 2025
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.
biorxiv.org/content/10.1101/…
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GregoryLab retweeted
23 Apr 2025
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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GregoryLab retweeted
17 Apr 2025
Take a look at our recent Lancet Neurology review. Amyotrophic lateral sclerosis caused by TARDBP mutations: sciencedirect.com/science/ar…
It’s been a huge privilege working with this incredible writing team and we hope you enjoy reading it.
⭐️🤩🤓🤩⭐️
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GregoryLab retweeted
10 Mar 2025
Excited to share our preprint: "𝐎𝐫𝐠𝐚𝐧𝐞𝐥𝐥𝐨𝐦𝐢𝐜𝐬: 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐝𝐞𝐞𝐩 𝐨𝐫𝐠𝐚𝐧𝐞𝐥𝐥𝐚𝐫 𝐩𝐡𝐞𝐧𝐨𝐭𝐲𝐩𝐢𝐧𝐠 𝐫𝐞𝐯𝐞𝐚𝐥𝐬 𝐧𝐨𝐯𝐞𝐥 𝐀𝐋𝐒 𝐦𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐦𝐬 𝐢𝐧 𝐡𝐮𝐦𝐚𝐧 𝐧𝐞𝐮𝐫𝐨𝐧𝐬"
10 Mar 2025
🚀𝐕𝐢𝐬𝐢𝐨𝐧-𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐬-𝐛𝐚𝐬𝐞𝐝 𝐨𝐫𝐠𝐚𝐧𝐞𝐥𝐥𝐚𝐫 𝐩𝐡𝐞𝐧𝐨𝐭𝐲𝐩𝐢𝐧𝐠 𝐮𝐧𝐯𝐞𝐢𝐥𝐬 𝐡𝐢𝐝𝐝𝐞𝐧 𝐀𝐋𝐒 𝐦𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐦𝐬!
🧵 Thread on 𝘕𝘖𝘝𝘈 (𝘕𝘦𝘶𝘳𝘰𝘯𝘢𝘭 𝘖𝘳𝘨𝘢𝘯𝘦𝘭𝘭𝘰𝘮𝘪𝘤𝘴 𝘝𝘪𝘴𝘪𝘰𝘯 𝘈𝘵𝘭𝘢𝘴)🎗️ our deep-learning model trained with ~3M images of human-derived neurons, and newly discovered insights into ALS disease. We used AI to map cellular dysfunction at un unprecedented resolution, comprehensively studying all sub-cellular organelles.
Preprint: "𝐎𝐫𝐠𝐚𝐧𝐞𝐥𝐥𝐨𝐦𝐢𝐜𝐬: 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐝𝐞𝐞𝐩 𝐨𝐫𝐠𝐚𝐧𝐞𝐥𝐥𝐚𝐫 𝐩𝐡𝐞𝐧𝐨𝐭𝐲𝐩𝐢𝐧𝐠 𝐫𝐞𝐯𝐞𝐚𝐥𝐬 𝐧𝐨𝐯𝐞𝐥 𝐀𝐋𝐒 𝐦𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐦𝐬 𝐢𝐧 𝐡𝐮𝐦𝐚𝐧 𝐧𝐞𝐮𝐫𝐨𝐧𝐬"
biorxiv.org/content/10.1101/…
Check out our code and data: github.com/Sagykri/NOVA
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GregoryLab retweeted
8 Mar 2025
Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models @GregoryLab7
nature.com/articles/s41598-0…
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GregoryLab retweeted
27 Feb 2025
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.
nature.com/articles/s41598-0….
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GregoryLab retweeted
11 Feb 2025
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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GregoryLab retweeted
15 Jan 2025
Fantastic work lead by Holly Spence @HollySneuro - happy to have contributed!
15 Jan 2025
⭐️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? 🤔
biorxiv.org/content/10.1101/…
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GregoryLab retweeted
15 Jan 2025
⭐️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? 🤔
13 Jan 2025
Machine learning identifies routine blood tests as accurate predictive measures of pollution-dependent poor cognitive function biorxiv.org/cgi/content/shor… #biorxiv_neursci
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GregoryLab retweeted
15 Jan 2025
⭐️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? 🤔
biorxiv.org/content/10.1101/…
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GregoryLab retweeted
15 Jan 2025
(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 🤓
biorxiv.org/content/10.1101/…
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GregoryLab retweeted
15 Jan 2025
(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
biorxiv.org/content/10.1101/…
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GregoryLab retweeted
15 Jan 2025
(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.
biorxiv.org/content/10.1101/…
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15 Jan 2025
⭐️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? 🤔
15 Jan 2025
⭐️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? 🤔
biorxiv.org/content/10.1101/…
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GregoryLab retweeted
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.io/1bx
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GregoryLab retweeted
11 Dec 2024
#ALS/#MND Precision-prevention concepts:
💭Perspectives>Learning from cancer
💭Detection>Before motor symptoms arise
💭Precision>Understanding individual’s risk factors & heterogenous disease manifestations is key
💭Prevention>Safe interventions & early triage to clinical trials
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