Lijun AN | 安丽军 (@anlijuncn) 's Twitter Profile
Lijun AN | 安丽军

@anlijuncn

Postdoc@Jacob Vogel ⬅️ PhD@Thomas Yeo.
Neurodegenerative Disease, Brain Imaging, Machine Learning, Multi-omics

ID: 1070681743542251520

linkhttp://anlijun.cn calendar_today06-12-2018 14:09:54

698 Tweet

333 Followers

834 Following

Nature Rev Neurosci (@natrevneurosci) 's Twitter Profile Photo

Rethinking excitation/inhibition balance in the human brain — a Comment article by Roi Cohen Kadosh nature.com/articles/s4158…

Muhammad Ali (@ali_bioinformtx) 's Twitter Profile Photo

We’re excited to share our latest publication in Nature Medicine, where we conducted the largest plasma proteomics study to date across three major neurodegenerative diseases: #AD, #PD, and #FTD. 📖 Read the paper: nature.com/articles/s4159… Global Neurodegeneration Proteomics Consortium WashU Medicine Knight ADRC

Lijun AN | 安丽军 (@anlijuncn) 's Twitter Profile Photo

Can AI reveal the risk and co-pathology of multiple neurodegenerative diseases from just a single blood sample? We explored the AI-based diagnostic power on a massive sample (N=17,170) and high-rank plasma proteomics data. medrxiv.org/content/10.110… #MedSky #neuroskyence #neurosky

Jake Vogel (@_jakevogel_) 's Twitter Profile Photo

‼️New preprint‼️ Super excited to share this work by the incredible Lijun AN | 安丽军. We explore the potential of plasma proteomics and AI for neurodegenerative disease (AD, PD, ALS, FTD,CVD) diagnosis in a massive dataset (N>17,000). Paper link and walkthrough in Lijun's 🧵 below!

‼️New preprint‼️ 

Super excited to share this work by the incredible <a href="/anlijuncn/">Lijun AN | 安丽军</a>. We explore the potential of plasma proteomics and AI for neurodegenerative disease (AD, PD, ALS, FTD,CVD) diagnosis in a massive dataset (N&gt;17,000).

Paper link and walkthrough in Lijun's 🧵 below!
Thomas Yeo (@bttyeo) 's Twitter Profile Photo

1/11 Excited to share our @Naturestudy led by Leon Ooi Csaba Orban Shaoshi Zhang doi.org/10.1038/s41586… It is well-known that AI performance scales with logarithm of sample size (Kaplan, McCandlish 2020), but in many domains, sample size can be # participants or # measurements...

1/11 Excited to share our @Naturestudy led by <a href="/Leon_Oo1/">Leon Ooi</a> <a href="/csabaorban/">Csaba Orban</a> <a href="/ZShaoshi/">Shaoshi Zhang</a>

doi.org/10.1038/s41586…

It is well-known that AI performance scales with logarithm of sample size (Kaplan, McCandlish 2020), but in many domains, sample size can be # participants or # measurements...
Jakub Kopal (@kopaljakub) 's Twitter Profile Photo

Out now in Nature Biomedical Engineering: We explore how rare high-effect gene-coding variants (#CNVs) shape brain architecture and influence cognitive and socio-behavioral traits in adolescents (#ABCD). nature.com/articles/s4155…

Out now in <a href="/natBME/">Nature Biomedical Engineering</a>: We explore how rare high-effect gene-coding variants (#CNVs) shape brain architecture and influence cognitive and socio-behavioral traits in adolescents (#ABCD).

nature.com/articles/s4155…
jpreventionalzheimer (@jpreventionalz1) 's Twitter Profile Photo

CTAD taskforce: genetic therapies in Alzheimer’s disease. D. Jakabek et al. nature.com/articles/s4358… #AlzheimersDisease #GeneticTherapy #ClinicalTrials #CTAD #Neurogenetics #RNAtherapeutics #PrecisionMedicine #NeuroscienceResearch