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  1. Article ; Online: Leveraging the Full Potential of Wearable Devices in Cardiomyopathies.

    Oikonomou, Evangelos K / Khera, Rohan

    Journal of cardiac failure

    2024  

    Language English
    Publishing date 2024-03-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1281194-4
    ISSN 1532-8414 ; 1071-9164
    ISSN (online) 1532-8414
    ISSN 1071-9164
    DOI 10.1016/j.cardfail.2024.02.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Machine learning in precision diabetes care and cardiovascular risk prediction.

    Oikonomou, Evangelos K / Khera, Rohan

    Cardiovascular diabetology

    2023  Volume 22, Issue 1, Page(s) 259

    Abstract: Artificial intelligence and machine learning are driving a paradigm shift in medicine, promising data-driven, personalized solutions for managing diabetes and the excess cardiovascular risk it poses. In this comprehensive review of machine learning ... ...

    Abstract Artificial intelligence and machine learning are driving a paradigm shift in medicine, promising data-driven, personalized solutions for managing diabetes and the excess cardiovascular risk it poses. In this comprehensive review of machine learning applications in the care of patients with diabetes at increased cardiovascular risk, we offer a broad overview of various data-driven methods and how they may be leveraged in developing predictive models for personalized care. We review existing as well as expected artificial intelligence solutions in the context of diagnosis, prognostication, phenotyping, and treatment of diabetes and its cardiovascular complications. In addition to discussing the key properties of such models that enable their successful application in complex risk prediction, we define challenges that arise from their misuse and the role of methodological standards in overcoming these limitations. We also identify key issues in equity and bias mitigation in healthcare and discuss how the current regulatory framework should ensure the efficacy and safety of medical artificial intelligence products in transforming cardiovascular care and outcomes in diabetes.
    MeSH term(s) Humans ; Artificial Intelligence ; Cardiovascular Diseases/diagnosis ; Cardiovascular Diseases/epidemiology ; Cardiovascular Diseases/prevention & control ; Risk Factors ; Machine Learning ; Diabetes Mellitus/diagnosis ; Diabetes Mellitus/epidemiology ; Diabetes Mellitus/therapy ; Heart Disease Risk Factors
    Language English
    Publishing date 2023-09-25
    Publishing country England
    Document type Journal Article ; Review ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2093769-6
    ISSN 1475-2840 ; 1475-2840
    ISSN (online) 1475-2840
    ISSN 1475-2840
    DOI 10.1186/s12933-023-01985-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Molecular imaging to guide precision diagnosis and prevention of cancer therapeutics-related cardiac dysfunction.

    Oikonomou, Evangelos K

    Expert review of molecular diagnostics

    2020  Volume 20, Issue 4, Page(s) 355–358

    MeSH term(s) Biomarkers ; Cardiotoxicity ; Heart Diseases ; Humans ; Molecular Imaging ; Neoplasms/drug therapy
    Chemical Substances Biomarkers
    Language English
    Publishing date 2020-01-22
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 2112530-2
    ISSN 1744-8352 ; 1473-7159
    ISSN (online) 1744-8352
    ISSN 1473-7159
    DOI 10.1080/14737159.2020.1717336
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Correspondence on "Lipoprotein(a) has no major impact on calcification activity in patients with mild to moderate aortic valve stenosis" by Kaiser et al.

    Pantelidis, Panteleimon / Oikonomou, Evangelos

    Heart (British Cardiac Society)

    2022  Volume 108, Issue 7, Page(s) 575–576

    MeSH term(s) Aortic Valve Stenosis/surgery ; Calcinosis/diagnostic imaging ; Humans ; Lipoprotein(a)
    Chemical Substances Lipoprotein(a)
    Language English
    Publishing date 2022-01-27
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 1303417-0
    ISSN 1468-201X ; 1355-6037
    ISSN (online) 1468-201X
    ISSN 1355-6037
    DOI 10.1136/heartjnl-2021-320643
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The Role of Macrophages in Atherosclerosis: Pathophysiologic Mechanisms and Treatment Considerations.

    Theofilis, Panagiotis / Oikonomou, Evangelos / Tsioufis, Konstantinos / Tousoulis, Dimitris

    International journal of molecular sciences

    2023  Volume 24, Issue 11

    Abstract: Atherosclerotic diseases are a leading cause of morbidity and mortality worldwide, despite the recent diagnostic and therapeutic advances. A thorough understanding of the pathophysiologic mechanisms is thus essential to improve the care of affected ... ...

    Abstract Atherosclerotic diseases are a leading cause of morbidity and mortality worldwide, despite the recent diagnostic and therapeutic advances. A thorough understanding of the pathophysiologic mechanisms is thus essential to improve the care of affected individuals. Macrophages are crucial mediators of the atherosclerotic cascade, but their role has not been fully elucidated. The two main subtypes, tissue-resident and monocyte-derived macrophages, have distinct functions that contribute to atherosclerosis development or regression. Since polarization of macrophages to an M2 phenotype and induction of macrophage autophagy have been demonstrated to be atheroprotective, targeting these pathways could represent an appealing approach. Interestingly, macrophage receptors could act as drug targets, as seen in recent experimental studies. Last but not least, macrophage-membrane-coated carriers have been investigated with encouraging results.
    MeSH term(s) Humans ; Atherosclerosis/genetics ; Macrophages/metabolism ; Phenotype ; Autophagy ; Plaque, Atherosclerotic/metabolism
    Language English
    Publishing date 2023-05-31
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms24119568
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: CarDS-Plus ECG Platform: Development and Feasibility Evaluation of a Multiplatform Artificial Intelligence Toolkit for Portable and Wearable Device Electrocardiograms.

    Shankar, Sumukh Vasisht / Oikonomou, Evangelos K / Khera, Rohan

    medRxiv : the preprint server for health sciences

    2023  

    Abstract: In the rapidly evolving landscape of modern healthcare, the integration of wearable and portable technology provides a unique opportunity for personalized health monitoring in the community. Devices like the Apple Watch, FitBit, and AliveCor KardiaMobile ...

    Abstract In the rapidly evolving landscape of modern healthcare, the integration of wearable and portable technology provides a unique opportunity for personalized health monitoring in the community. Devices like the Apple Watch, FitBit, and AliveCor KardiaMobile have revolutionized the acquisition and processing of intricate health data streams that were previously accessible only through devices only available to healthcare providers. Amidst the variety of data collected by these gadgets, single-lead electrocardiogram (ECG) recordings have emerged as a crucial source of information for monitoring cardiovascular health. Notably, there has been significant advances in artificial intelligence capable of interpreting these 1-lead ECGs, facilitating clinical diagnosis as well as the detection of rare cardiac disorders. This design study describes the development of an innovative multi-platform system aimed at the rapid deployment of AI-based ECG solutions for clinical investigation and care delivery. The study examines various design considerations, aligning them with specific applications, and develops data flows to maximize efficiency for research and clinical use. This process encompasses the reception of single-lead ECGs from diverse wearable devices, channeling this data into a centralized data lake, and facilitating real-time inference through AI models for ECG interpretation. An evaluation of the platform demonstrates a mean duration from acquisition to reporting of results of 33.0 to 35.7 seconds, after a standard 30 second acquisition, allowing the complete process to be completed in 63.0 to 65.7 seconds. There were no substantial differences in acquisition to reporting across two commercially available devices (Apple Watch and KardiaMobile). These results demonstrate the succcessful translation of design principles into a fully integrated and efficient strategy for leveraging 1-lead ECGs across platforms and interpretation by AI-ECG algorithms. Such a platform is critical to translating AI discoveries for wearable and portable ECG devices to clinical impact through rapid deployment.
    Language English
    Publishing date 2023-10-03
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.10.02.23296404
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Diabetes Mellitus and Heart Failure: Epidemiology, Pathophysiologic Mechanisms, and the Role of SGLT2 Inhibitors.

    Theofilis, Panagiotis / Oikonomou, Evangelos / Tsioufis, Konstantinos / Tousoulis, Dimitris

    Life (Basel, Switzerland)

    2023  Volume 13, Issue 2

    Abstract: Diabetes mellitus (DM) and heart failure (HF) are frequently encountered afflictions that are linked by a common pathophysiologic background. According to landmark studies, those conditions frequently coexist, and this interaction represents a poor ... ...

    Abstract Diabetes mellitus (DM) and heart failure (HF) are frequently encountered afflictions that are linked by a common pathophysiologic background. According to landmark studies, those conditions frequently coexist, and this interaction represents a poor prognostic indicator. Based on mechanistic studies, HF can be propagated by multiple pathophysiologic pathways, such as inflammation, oxidative stress, endothelial dysfunction, fibrosis, cardiac autonomic neuropathy, and alterations in substrate utilization. In this regard, DM may augment myocardial inflammation, fibrosis, autonomic dysfunction, and lipotoxicity. As the interaction between DM and HF appears critical, the new cornerstone in DM and HF treatment, sodium-glucose cotransporter-2 inhibitors (SGLT2i), may be able to revert the pathophysiology of those conditions and lead to beneficial HF outcomes. In this review, we aim to highlight the deleterious pathophysiologic interaction between DM and HF, as well as demonstrate the beneficial role of SGLT2i in this field.
    Language English
    Publishing date 2023-02-10
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662250-6
    ISSN 2075-1729
    ISSN 2075-1729
    DOI 10.3390/life13020497
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Artificial intelligence in cardiovascular imaging-principles, expectations, and limitations.

    Antoniades, Charalambos / Oikonomou, Evangelos K

    European heart journal

    2021  

    Language English
    Publishing date 2021-09-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 603098-1
    ISSN 1522-9645 ; 0195-668X
    ISSN (online) 1522-9645
    ISSN 0195-668X
    DOI 10.1093/eurheartj/ehab678
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  9. Article ; Online: Targeting the Gut Microbiome to Treat Cardiometabolic Disease.

    Theofilis, Panagiotis / Vlachakis, Panayotis K / Oikonomou, Evangelos / Tsioufis, Konstantinos / Tousoulis, Dimitris

    Current atherosclerosis reports

    2024  Volume 26, Issue 2, Page(s) 25–34

    Abstract: Purpose of review: Cardiometabolic diseases, which include obesity, type 2 diabetes, and cardiovascular diseases, constitute a worldwide health crisis of unparalleled proportions. The human gut microbiota has emerged as a prominent topic of inquiry in ... ...

    Abstract Purpose of review: Cardiometabolic diseases, which include obesity, type 2 diabetes, and cardiovascular diseases, constitute a worldwide health crisis of unparalleled proportions. The human gut microbiota has emerged as a prominent topic of inquiry in the search for novel treatment techniques. This review summarizes current research on the potential of addressing the gut microbiota to treat cardiometabolic disease.
    Recent findings: Recent studies have highlighted a complex link between the gut microbiota and host physiology, shedding light on the several processes through which gut microorganisms impact metabolic health, inflammation, and cardiovascular function. Furthermore, a growing corpus of research is available on microbiome-based therapies such as dietary interventions, probiotics, prebiotics, synbiotics, and fecal microbiota transplantation. These therapies show promise as methods for reshaping the gut microbiota and, as a result, improving cardiometabolic outcomes. However, hurdles remain, ranging from the intricacies of microbiome research to the necessity for tailored treatments that take individual microbial variations into consideration, emphasizing the significance of furthering research to bridge the gap between microbiome science and clinical practice. The gut microbiome is a beacon of hope for improving the management of cardiometabolic disease in the age of precision medicine, since its association with their pathophysiology is constantly being unraveled and strengthened. Available studies point to the potential of gut microbiome-based therapeutics, which remains to be tested in appropriately designed clinical trials. Further preclinical research is, however, essential to provide answers to the existing obstacles, with the ultimate goal of enhancing patient care.
    MeSH term(s) Humans ; Gastrointestinal Microbiome/physiology ; Diabetes Mellitus, Type 2/therapy ; Prebiotics ; Probiotics/therapeutic use ; Cardiovascular Diseases/therapy
    Chemical Substances Prebiotics
    Language English
    Publishing date 2024-01-05
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2057369-8
    ISSN 1534-6242 ; 1523-3804
    ISSN (online) 1534-6242
    ISSN 1523-3804
    DOI 10.1007/s11883-023-01183-2
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  10. Article: MicroRNAs in Atrial Fibrillation: Mechanisms, Vascular Implications, and Therapeutic Potential.

    Vardas, Emmanouil P / Theofilis, Panagiotis / Oikonomou, Evangelos / Vardas, Panos E / Tousoulis, Dimitris

    Biomedicines

    2024  Volume 12, Issue 4

    Abstract: Atrial fibrillation (AFib), the most prevalent arrhythmia in clinical practice, presents a growing global health concern, particularly with the aging population, as it is associated with devastating complications and an impaired quality of life. Its ... ...

    Abstract Atrial fibrillation (AFib), the most prevalent arrhythmia in clinical practice, presents a growing global health concern, particularly with the aging population, as it is associated with devastating complications and an impaired quality of life. Its pathophysiology is multifactorial, including the pathways of fibrosis, inflammation, and oxidative stress. MicroRNAs (miRNAs), small non-coding RNA molecules, have emerged as substantial contributors in AFib pathophysiology, by affecting those pathways. In this review, we explore the intricate relationship between miRNAs and the aforementioned aspects of AFib, shedding light on the molecular pathways as well as the potential diagnostic applications. Recent evidence also suggests a possible role of miRNA therapeutics in maintenance of sinus rhythm via the antagonism of miR-1 and miR-328, or the pharmacological upregulation of miR-27b and miR-223-3p. Unraveling the crosstalk between specific miRNA profiles and genetic predispositions may pave the way for personalized therapeutic approaches, setting the tone for precision medicine in atrial fibrillation.
    Language English
    Publishing date 2024-04-06
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines12040811
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