Thrilled to see our work featured on @alzforum!
Our AI framework DeepSUVR, developed at @CSIRO, enhances amyloid PET quantification to improve precision and standardisation across studies.
Great recognition for the team and a meaningful step forward for PET imaging.
本研究所の池内健教授が大会長を務める【第44回日本認知症学会学術集会】が、いよいよあす21日から新潟市で開催されます!🌾
今回のテーマは 「共生社会の構築に向けて No one left behind」🧑🔬
認知症をめぐる多様な研究の進歩を感じてい��だけましたら幸いです🧠
🔻
https://t.co/xGuJB6o9qc
🔬Paper out in Eur J Nucl Med Mol Imaging: "Relation between resting amygdala activity and cardiovascular events in patients with cardiac sarcoidosis" by a research team including #BRI CIHBS scientists. 🫀🧠
https://t.co/M1JzVjcbAJ
🚨New paper published in @alzdemjournals!
https://t.co/6uVyijL7KU
PhD student @karlssonlinda1 et al. use machine learning (ML) to predict tau-PET composites from accessible and inexpensive modalities: plasma biomarkers, structural MRI and clinical variables. Details 👇