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Lijun AN | 安丽军 Profile
Lijun AN | 安丽军

@anlijuncn

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

Sweden
Joined December 2018
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@anlijuncn
Lijun AN | 安丽军
4 months
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. https://t.co/kgBbWGVWAP #MedSky #neuroskyence #neurosky
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medrxiv.org
Co-pathology is a common feature of neurodegenerative diseases that complicates diagnosis, treatment and clinical management. However, sensitive, specific and scalable biomarkers for in vivo pathol...
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@JuanEugenioIgl1
Juan Eugenio Iglesias
1 day
Ten years (!) after submitting the grant, NextBrain is published in @Nature . NextBrain is a brain atlas built from 3D histology that enables segmentation of 3D brain scans (MRI, Hip-CT, even photos!) into hundreds of regions. Article, data, code, videos, & more in this 🧵 (1/3)
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@bttyeo
Thomas Yeo
3 days
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onlinelibrary.wiley.com
We introduced a simplified variant of FROG, the winning algorithm of the TADPOLE challenge, for predicting dementia progression using multimodal longitudinal data. Combining the longitudinal-to-cro...
@bttyeo
Thomas Yeo
1 year
🚨 Predicting Alzheimer's Progression 🚨 A thread 🧵 1/ Accurate prediction of Alzheimer’s progression is critical for early intervention. How can we make predictions more precise and generalizable? 🧠✨ 📝 Read the preprint led by @ChenZhang_NUS : https://t.co/vxbpjGG4GC
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@bttyeo
Thomas Yeo
1 year
🚨 Predicting Alzheimer's Progression 🚨 A thread 🧵 1/ Accurate prediction of Alzheimer’s progression is critical for early intervention. How can we make predictions more precise and generalizable? 🧠✨ 📝 Read the preprint led by @ChenZhang_NUS : https://t.co/vxbpjGG4GC
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@xiangzhenkong
Kong, Xiangzhen (孔祥祯)
11 days
Postdoctoral Positions Available in Cognitive Neuroscience and Brain Network Research Location: Zhejiang University, Hangzhou, China https://t.co/0ByOKzY7J6
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@daphnezohar
Daphne Zohar
11 days
NEJM: ~1–3% of patients in MS, IBD & AD trials were likely misdiagnosed and actually had a rare disease. Small numbers, but such misclassification could subtly confound observed treatment effects. Similar approaches could be used to identify potential misdiagnoses and refine
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@anlijuncn
Lijun AN | 安丽军
12 days
How crazy it is?!
@danijarh
Danijar Hafner
13 days
Congratulations @Yoshua_Bengio!! Possibly the first scientist with one million citations in the world. Crazy how fast the field has grown 🤯
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@tigerstatdoc
Sarah Urbut
21 days
Announcing our much-awaited updated aladynoulli, a fully interpretable Bayesian model that considers predictive and explanatory disease trajectories across the life course for individuals, anchored on underlying PGS.
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medrxiv.org
Understanding how disease patterns evolve over a lifetime remains a key challenge in medicine. While electronic health records provide rich longitudinal data, existing models typically analyze each...
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@JunhaoWen
Junhao (Hao) Wen
21 days
Excited to put the cherry on the top for our multi-organ, multi-omics biological aging clock work: After developing 3 brain MRI-based clocks (MRIBAG), 9 phenotype-based clocks (PhenoBAG), 11 proteome-based clocks (ProtBAG), 5 metabolome-based clocks (MetBAG), we have now
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nature.com
Nature Medicine - A new study combines MRI data with proteomic, metabolomic and RNA data to develop and examine seven organ-specific MRI-based aging clocks, uncovering links to overall mortality...
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@ZijianDD
Zijian Dong
1 month
🚨 Thrilled to share that our paper Brain Harmony (BrainHarmonix) has been accepted at #NeurIPS2025! We introduce the first multimodal brain foundation model that unifies structure 🧠 (MRI morphology) & function ⚡️ (fMRI dynamics) into compact 1D brain tokens. Paper:
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arxiv.org
We present Brain Harmony (BrainHarmonix), the first multimodal brain foundation model that unifies structural morphology and functional dynamics into compact 1D token representations. The model...
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@jingnandu049
Jingnan Du
1 month
Our new paper is out now in Neuron!🎉 With @vaibhav_3pathi @max12elliott @jladopoulou @wendysun23 Mark Eldaief and @RandyLBuckner Link: https://t.co/D8bGjWGqBD
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@sha_zhiqiang
Zhiqiang Sha (@zhiqiangsha.bsky.social)
1 month
Reproducible Brain Charts: An open data resource for mapping brain development and its associations with mental health | Neuron https://t.co/qteZvRdTWx
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@TranslationalNI
Translational-Neuro
1 month
@UBC_Psychiatry @UBC_IMH If you missed @rubykong92 's wonderful talk today, , you can now watch it on our channel
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@TranslationalNI
Translational-Neuro
3 months
Join our 15th event on September 23! We're thrilled to welcome Dr. @rubykong92 from National University of Singapore to introduce their work on "Individual-specific Brain Parcellations for Clinical Applications". Scan the QR code to participate for free! @UBC_Psychiatry @UBC_IMH
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@AgustinMIbanez
Agustin Ibañez
2 months
Brain clocks are modulated by disease, exposome, genetics, & whole-body health. But what are the underlying mechanisms? Clocks estimate biological age, not the underlying processes. We tackle this through biophysical modeling in aging and dementia🧵1/5: https://t.co/mPHd40MuEV
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@loft_lab
Danny JJ Wang
2 months
My first book with @ShaoXingfeng on Imaging BBB Dysfunction in Brain Disorders is online for pre-order, it summarizes BBB biology, foundations and clinical uses of cutting edge imaging technologies for mapping BBB function in a healthy and diseased brain
@USCLONI
Lab of Neuro Imaging
2 months
📢 Now available for pre-order: Imaging Blood-Brain Barrier Dysfunction in Brain Disorders by our very own @loft_lab & @ShaoXingfeng! This new volume explores the blood-brain barrier’s critical role in brain health and disease 📚🧠 https://t.co/2bTZ9VJDmf
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@biofinder_study
BioFINDER
2 months
🚨New publication in Nature Medicine! In this study, we demonstrate that a brief, self-administered cognitive test battery can reliably identify individuals with cognitive impairment in a primary care setting. Details: https://t.co/tSwVYOlzWS Full paper:
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nature.com
Nature Medicine - A brief, self-administered digital cognitive test, in combination with a blood test, accurately detects clinical Alzheimer’s disease in primary care.
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