vkola-lab.bsky.social
Kolachalama laboratory
@vkola-lab.bsky.social
0 followers 1 following 10 posts
Associate Professor @ Boston University Website: https://vkola-lab.github.io
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vkola-lab.bsky.social
Kolachalama laboratory @vkola-lab.bsky.social · 8d
Stable, shortened URL: rdcu.be/eI1u9
Augmenting radiological assessment of imaging evident dementias with radiomic analysis
npj Dementia - Augmenting radiological assessment of imaging evident dementias with radiomic analysis
rdcu.be
vkola-lab.bsky.social
Kolachalama laboratory @vkola-lab.bsky.social · 8d
Our new study is published in npj Dementia: AI-powered radiomic analysis of MRI scans enhances neuroradiologists' ability to differentiate Alzheimer's from other dementias, boosting accuracy by 5-8% (AUROC/AP). Link: doi.org/10.1038/s444...
@natureportfolio.nature.com
Augmenting radiological assessment of imaging evident dementias with radiomic analysis - npj Dementia
npj Dementia - Augmenting radiological assessment of imaging evident dementias with radiomic analysis
doi.org
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vkola-lab.bsky.social
Kolachalama laboratory @vkola-lab.bsky.social · 16d
Pleased to share our perspective article entitled "An AI‐first framework for multimodal data in Alzheimer's disease and related dementias" - Alzheimer's & Dementia - alz-journals.onlinelibrary.wiley.com/doi/10.1002/...

@alzdemjournals.bsky.social

@istaart.bsky.social
An AI‐first framework for multimodal data in Alzheimer's disease and related dementias
Advancing the understanding and management of Alzheimer's disease and related dementias requires integrating and analyzing diverse data modalities. Traditional diagnostic tools, like neuroimaging, p...
alz-journals.onlinelibrary.wiley.com
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vkola-lab.bsky.social
Kolachalama laboratory @vkola-lab.bsky.social · 21d
Our new paper in Human Brain Mapping presents an anatomy-guided, modality-agnostic framework to assess disease-related abnormalities in brain MRI. Please check it out!

doi.org/10.1002/hbm....

@bostonu.bsky.social
Anatomy‐Guided, Modality‐Agnostic Segmentation of Neuroimaging Abnormalities
Region ModalMix is a data augmentation strategy that leverages brain parcellations to improve MRI-based tumor segmentation under missing modality conditions. By mixing anatomical regions across avail...
doi.org
Reposted by Kolachalama laboratory
bumedicine.bsky.social
Boston University Chobanian & Avedisian School of Medicine @bumedicine.bsky.social · Aug 12
A new AI tool designed by researchers at Boston University helps to accurately predict biomarkers of Alzheimer’s disease. To learn more, click here: bit.ly/4mfrUpK
BU researchers create new AI tool to predict markers of Alzheimer’s disease
Researchers at Boston University Chobanian & Avedisian School of Medicine have built an artificial intelligence tool that can accurately predict key signs of Alzheimer’s disease, the school announced ...
bit.ly
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vkola-lab.bsky.social
Kolachalama laboratory @vkola-lab.bsky.social · Sep 4
A nice video summary of our paper entitled "Multimodal deep learning for Alzheimer’s disease dementia assessment", published in Nature Communications (2022). @natcomms.nature.com

youtu.be/ZvkC0XpmKFY

Source: @notebooklm.bsky.social
AI for differentiating Alzheimer's disease from non-Alzheimer's dementias
YouTube video by Vijaya Kolachalama
youtu.be
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vkola-lab.bsky.social
Kolachalama laboratory @vkola-lab.bsky.social · Aug 26
Dr. Gan: Thanks for sharing our work!
Reposted by Kolachalama laboratory
liganlab.bsky.social
Gan Lab @liganlab.bsky.social · Aug 25
The Kolachama Lab is tackling the PET scan bottleneck in Alzheimer’s diagnosis with an AI model that predicts amyloid-β & tau status from 12,185 patients across 7 cohorts, offering a scalable alternative for pre-screening & guiding PET imaging. www.nature.com/articles/s41...
AI-driven fusion of multimodal data for Alzheimer’s disease biomarker assessment - Nature Communications
A flexible AI framework integrates multimodal neurology work-up data to estimate amyloid and tau burden, supporting scalable biomarker stratification for Alzheimer’s disease research and trial screeni...
www.nature.com
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vkola-lab.bsky.social
Kolachalama laboratory @vkola-lab.bsky.social · Aug 20
A nice video summary of our paper entitled "Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification", published in Brain (2020). youtu.be/quwlODDgtgQ

Source: @notebooklm.bsky.social
Interpretable AI to identify signs of Alzheimer's disease on MRIs
YouTube video by Vijaya Kolachalama
youtu.be
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vkola-lab.bsky.social
Kolachalama laboratory @vkola-lab.bsky.social · Aug 11
Here is an explanatory video that nicely summarizes our work: youtu.be/ULkPf6uL9GI
AI for Alzheimer’s disease biomarker assessment
YouTube video by Vijaya Kolachalama
youtu.be
vkola-lab.bsky.social
Kolachalama laboratory @vkola-lab.bsky.social · Aug 11
Delighted that our latest work is now online @natcomms.nature.com!! 🧠🔬 We built an AI model that can predict Alzheimer's disease biomarkers (Aβ and τ) using widely available clinical data. This could make it much easier to screen for AD without PET scans.

Link here: www.nature.com/articles/s41...
AI-driven fusion of multimodal data for Alzheimer’s disease biomarker assessment - Nature Communications
A flexible AI framework integrates multimodal neurology work-up data to estimate amyloid and tau burden, supporting scalable biomarker stratification for Alzheimer’s disease research and trial screeni...
www.nature.com
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vkola-lab.bsky.social
Kolachalama laboratory @vkola-lab.bsky.social · Jul 30
🔬 Meet PodGPT – your AI partner for medical & STEM breakthroughs! Link to the paper: www.nature.com/articles/s44...

💡 Ask it anything:

"How does CRISPR work?"
"Explain AI in diagnostics"
"What’s the future of gene editing?"
#AI #Medicine #STEM #PodGPT

👉 Got a question? Click here: podgpt.org 🌱
podgpt.org
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