TY  - JOUR
AB  - In this Clinical Outlook, we describe available multiomic studies in cardiovascular medicine, discuss the advantages and potential of multiomic techniques for clinical translation in cardiology, and highlight three promising aspects: the generation of unprecedented cellular atlases, the identification of composite diagnostic and prognostic biomarkers derived from integrative multiomic signatures, and the isolation of potential therapeutic targets from unbiased comprehensive datasets and analyses.
AU  - Pekayvaz, K.*
AU  - Heinig, M.
AU  - Stark, K.*
C1  - 73285
C2  - 56984
CY  - Heidelberger Platz 3, Berlin, 14197, Germany
TI  - Predictive cardio-omics: Translating single-cell multiomics into tools for personalized medicine.
JO  - Nat. Rev. Cardiol.
PB  - Nature Portfolio
PY  - 2025
SN  - 1759-5002
ER  - 

TY  - JOUR
AB  - Artificial intelligence (AI) is likely to revolutionize the way medical images are analysed and has the potential to improve the identification and analysis of vulnerable or high-risk atherosclerotic plaques in coronary arteries, leading to advances in the treatment of coronary artery disease. However, coronary plaque analysis is challenging owing to cardiac and respiratory motion, as well as the small size of cardiovascular structures. Moreover, the analysis of coronary imaging data is time-consuming, can be performed only by clinicians with dedicated cardiovascular imaging training, and is subject to considerable interreader and intrareader variability. AI has the potential to improve the assessment of images of vulnerable plaque in coronary arteries, but requires robust development, testing and validation. Combining human expertise with AI might facilitate the reliable and valid interpretation of images obtained using CT, MRI, PET, intravascular ultrasonography and optical coherence tomography. In this Roadmap, we review existing evidence on the application of AI to the imaging of vulnerable plaque in coronary arteries and provide consensus recommendations developed by an interdisciplinary group of experts on AI and non-invasive and invasive coronary imaging. We also outline future requirements of AI technology to address bias, uncertainty, explainability and generalizability, which are all essential for the acceptance of AI and its clinical utility in handling the anticipated growing volume of coronary imaging procedures.
AU  - Föllmer, B.*
AU  - Williams, M.C.*
AU  - Dey, D.*
AU  - Arbab-Zadeh, A.*
AU  - Maurovich-Horvat, P.*
AU  - Volleberg, R.H.J.A.*
AU  - Rueckert, D.*
AU  - Schnabel, J.A.
AU  - Newby, D.E.*
AU  - Dweck, M.R.*
AU  - Guagliumi, G.*
AU  - Falk, V.*
AU  - Vázquez Mézquita, A.J.*
AU  - Biavati, F.*
AU  - Isgum, I.*
AU  - Dewey, M.*
C1  - 68092
C2  - 54570
CY  - Heidelberger Platz 3, Berlin, 14197, Germany
SP  - 51-64
TI  - Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries.
JO  - Nat. Rev. Cardiol.
VL  - 21
IS  - 1
PB  - Nature Portfolio
PY  - 2024
SN  - 1759-5002
ER  - 

TY  - JOUR
AB  - Extreme heat events are now more frequent in many parts of the world as a result of climate change. The combined effects of heat, air pollution, individual age, and socioeconomic and health status are responsible for avoidable acute events of cardiovascular disease and need to be considered in order to prevent and treat cardiovascular diseases effectively.
AU  - Peters, A.
AU  - Schneider, A.E.
C1  - 60506
C2  - 49971
CY  - Heidelberger Platz 3, Berlin, 14197, Germany
SP  - 1-2
TI  - Cardiovascular risks of climate change.
JO  - Nat. Rev. Cardiol.
VL  - 18
IS  - 1
PB  - Nature Research
PY  - 2020
SN  - 1759-5002
ER  -