ACILHarvard

Can a standard, non-contrast CT scan predict lung disease progression before classic symptoms even show up?
At #ATS2026, Pietro Nardelli is presenting ground-breaking work from the ACIL team doing exactly that. 🫁👇

Kicking off #ATS2025 with a great a talk about the role of quantitative imaging for emphysema quantification

On the last day at #ATS2024 @acuriale talked about emphysema progression to identify subjects at risk of Alpha 1 deficiency (PiMS and PiMZ)

@acuriale presenting back to back work on COPDGene and predicting future lung lobe density.

Meet @AxelMasquelin talking about Embedding radiomics features into neural networks for pulmonary nodule classification