FTP-PET
Biomarker1 paper1 finding
- In silico1
Associations
1Machine learning framework
upin silico1
1 study
Machine learning framework
upin silico1
machine learning framework predicts FTP-PET in silico (R2 ~ 0.34-0.71).
“Results showed that the model accurately predicted FTP-PET when applied at the participant-level ( R 2 ~ 0.34-0.71).”
In silicobrain
Brain metabolism model predicts Alzheimer tau in humans · Nature communications · 2 Oct 2026
Latest
1Nature CommunicationsIn silico
Brain metabolism model predicts Alzheimer tau in humans
Trained on 1,088 participants, the machine learning framework predicted flortaucipir-PET with R² values of 0.34 to 0.71 and classified tau stages with…Trained on 1,088 participants, the machine learning framework predicted flortaucipir-PET with R² values of 0.34 to 0.71 and classified tau stages with 79% to 95% accuracy.