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Research 12 Dec 2024 iFlpMosaics is a new technology presented in Nature Methods that allows the modification and study of gene function in mouse models, advancing research on diseases caused by somatic mutations, such as cancer and vascular malformations. |
About the CNIC 12 Dec 2024 The new project, ‘The Placenta in Maternal and Fetal Cardiovascular Health and Disease’, aims to understand how the placenta influences cardiovascular health in mothers and their children, promising improvements in the prevention and treatment of related diseases |
About the CNIC 11 Dec 2024 |
About the CNIC 5 Dec 2024 The International Atherosclerosis Society recognizes the contributions to the understanding and treatment of atherosclerosis by the director of the National Center for Cardiovascular Research (CNIC) and president of the Mount Sinai Fuster Heart |
Research 28 Nov 2024 A study from the CNIC, published in Nature Communications, reveals how caveolae allow adipocytes to expand safely, storing fat without breaking or causing inflammation |
Research 15 Nov 2024 A study by CNIC, published in Science Advances, offers a new approach to understanding how cells respond to mechanical signals from their environment, redefining the comprehension of the relationship between cells and their physical surroundings. |
About the CNIC 23 Oct 2024 The National Center for Cardiovascular Research (CNIC), and the Health Research Institute of Hospital 12 de Octubre (i+12), representing SERMAS, are actively participating in JACARDI through different pilot projects |
Research 7 Oct 2024 A team of scientists from the CNIC and the CSIC has identified a key mechanism in the development of atherosclerosis in patients with the rare genetic disease Hutchinson-Gilford progeria syndrome |
About the CNIC 7 Oct 2024 This open forum will be held on November 29th at CNIC headquarters |
Research 3 Oct 2024 The method, validated in a multicenter study led by the Hospital Clínico San Carlos and the CNIC, enables preoperative planning based on a cardiac magnetic resonance imaging strategy that avoids the biases intrinsic to conventional image analysis |
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