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Computational machine learning, especially self-enhancing algorithms, prove remarkable effectiveness in applications, including cardiovascular medicine. This review summarizes and cross-compares the current machine learning algorithms applied to electrocardiogram interpretation. In practice, continuous real-time monitoring of electrocardiograms is still difficult to realize. Furthermore, automated ECG interpretation by implementing specific artificial intelligence algorithms is even more challenging. By collecting large datasets from one individual, computational approaches can assure an efficient personalized treatment strategy, such as a correct prediction on patient-specific disease progression, therapeutic success rate and limitations of certain interventions, thus reducing the hospitalization costs and physicians' workload. Clearly such aims can be achieved by a perfect symbiosis of a multidisciplinary team involving clinicians, researchers and computer scientists. Summarizing, continuous cross-examination between machine intelligence and human intelligence is a combination of precision, rationale and high-throughput scientific engine integrated into a challenging framework of big data science.
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Discoveries is a new peer-reviewed, open access, online multidisciplinary and integrative journal publishing high impact reviews, experimental articles, perspective articles, and editorials from all areas related to medicine, biology, and chemistry, including but not limited to: Molecular and Cellular Biology, Biochemistry, Biophysics, Genomics, Proteomics, Biotechnology, Synthetic Biology, Bioengineering, Systems Biology, Bioinformatics, Translational Medicine, Medicine/ Clinical findings, Cognitive Science, Epidemiology, Global Medicine, Family Medicine, Organic/ Inorganic/ Physical Chemistry and Ethics in Science. Discoveries brings to the research community an outstanding editorial board that aims to address several of the innovations proposed above: there is no need to format the manuscript before submission, we have a rapid and efficient submission process, there is no need for a Cover Letter and we support the need for rules for validation of critical reagents, such as antibodies. Discoveries will aim to support high quality research on human subjects materials to provide relevance for non-human studies along with mechanistic insights into human biology and chemistry. We also aim to avoid requesting unnecessary experiments during the review process, without affecting the quality and conclusions of published manuscripts. In addition, we recognize the need of adopting the recommendations made by NCCD and other similar scientific guiding entities.
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OBJECTIVES: Here we assess the intrinsic functions of the chemokine receptor CXCR4 in remodeling after myocardial infarction (MI) using Cxcr4 heterozygous (Cxcr4(+/-)) mice. BACKGROUND: Myocardial necrosis triggers complex remodeling and inflammatory changes. The chemokine CXCL12 has been implicated in protection and therapeutic regeneration after MI through recruiting angiogenic outgrowth cells, improving neovascularization and cardiac function, but the endogenous role of its receptor CXCR4 is unknown. METHODS: MI was induced by ligation of the left descending artery. Langendoff perfusion, echocardiography, quantitative immunohistochemistry, flow cytometry, angiogenesis assays, and cardiomyocyte analysis were performed. RESULTS: After 4 weeks, infarct size was reduced in Cxcr4(+/-) mice compared with wild-type mice and in respective bone marrow chimeras compared with controls. This was associated with altered inflammatory cell recruitment, decreased neutrophil content, delayed monocyte infiltration, and a predominance of Gr1(low) over classic Gr1(high) monocytes. Basal coronary flow and its recovery after MI were impaired in Cxcr4(+/-)mice, paralleled by reduced angiogenesis, myocardial vessel density, and endothelial cell count. Notably, no differences in cardiac function were seen in Cxcr4(+/-)mice compared with wild-type mice. Despite defective angiogenesis, Cxcr4(+/-) mouse hearts showed no difference in CXCL12, vascular endothelial growth factor or apoptosis-related gene expression. Electron microscopy revealed lipofuscin-like lipid accumulation in Cxcr4(+/-) mouse hearts and analysis of lipid extracts detected high levels of phosphatidylserine, which protect cardiomyocytes from hypoxic stress in vitro. CONCLUSIONS: CXCR4 plays a crucial role in endogenous remodeling processes after MI, contributing to inflammatory/progenitor cell recruitment and neovascularization, whereas its deficiency limits infarct size and causes adaptation to hypoxic stress. This should be carefully scrutinized when devising therapeutic strategies involving the CXCL12/CXCR4 axis.