A machine learning model identifies a functional connectome signature that predicts blood pressure levels: imaging insights from a large population of 35 882 patients

Cardiovasc Res. 2023 Jul 4;119(7):1458-1460. doi: 10.1093/cvr/cvad065.

Roberta Avvisato^{1

2

3}, Imma Forzano², Fahimeh Varzideh³, Pasquale Mone¹, Gaetano Santulli^{1

2

3}

¹ Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Institute for Neuroimmunology and Inflammation (INI), Einstein Institute for Aging Research, Albert Einstein College of Medicine, New York City, 10461, New York, USA.
² Department of Advanced Biomedical Sciences, International Translational Research and Medical Education (ITME) Academic Research Unit, 'Federico II' University, 80100, Naples, Italy.
³ Department of Molecular Pharmacology, Fleischer Institute for Diabetes and Metabolism (FIDAM), Einstein-Mount Sinai Diabetes Research Center (ES-DRC), Albert Einstein College of Medicine, New York City, 10461, New York, USA.

No abstract available

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