Trevor Tan (@twktan) 's Twitter Profile
Trevor Tan

@twktan

PhD student @NUSingapore | Yeolab/Computational Brain Imaging Group

ID: 1258199921099804673

calendar_today07-05-2020 01:00:18

5 Tweet

32 Followers

88 Following

Thomas Yeo (@bttyeo) 's Twitter Profile Photo

Wow, with the new UK Biobank rules, the dataset has just become way too expensive for the kind of computationally intensive work my lab does...

Multimodal Neuroimaging Lab (@mnndl_lab) 's Twitter Profile Photo

🚨 New paper out in eLife (with revisions to come!) Most have heard of brain age by now, but there remain some gaps for clinical use 🧠 Juan (Helen) Zhou 1️⃣ Brain age models mostly use data from Caucasian adults. Can these models work for non-Caucasian groups, especially children?

Thomas Yeo (@bttyeo) 's Twitter Profile Photo

🚨 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 Chen Zhang : doi.org/10.1101/2024.1…

🚨 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 <a href="/ChenZhang_NUS/">Chen Zhang</a> : doi.org/10.1101/2024.1…
Thomas Yeo (@bttyeo) 's Twitter Profile Photo

🚨 Brain Age vs Direct Models in Alzheimer’s disease (AD) 🚨 A thread 🧵 1/ Brain age is a powerful indicator of general brain health, trained on massive datasets. But does this translate to better prediction for specific outcomes, like AD? Preprint by Trevor Tan :

🚨 Brain Age vs Direct Models in Alzheimer’s disease (AD) 🚨 A thread 🧵

1/ Brain age is a powerful indicator of general brain health, trained on massive datasets. But does this translate to better prediction for specific outcomes, like AD?

Preprint by <a href="/twktan/">Trevor Tan</a> :
Thomas Yeo (@bttyeo) 's Twitter Profile Photo

Thanks to everyone's feedback, we have updated our calculator to optimize sample size N & scan time T for fMRI studies. The first new feature is that users can explore how different N & T leads to different accuracy, e.g., N=1000 & T=30min => 81% accuracy.🧵

Thanks to everyone's feedback, we have updated our calculator to optimize sample size N &amp; scan time T for fMRI studies.

The first new feature is that users can explore how different N &amp; T leads to different accuracy, e.g., N=1000 &amp; T=30min =&gt; 81% accuracy.🧵