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Frontiers in Cardiovascular Medicine: Rising Stars 2022
We are delighted to present the inaugural Frontiers in Cardiovascular Medicine “Rising Stars” article collection. This collection showcases the high-quality work of internationally recognized researchers in the early stages of their independent careers. All Rising Star researchers were individually nominated by the Chief Editors of the Journal in recognition of their potential to influence the future directions in their respective fields. The work presented here highlights the diversity of research performed across the entire breadth of cardiovascular medicine, including the elucidation of fundamental biology, the development of novel diagnostics or therapeutics, computational modelling approaches, and bioengineering strategies for regeneration.
AHA Scientific Sessions 2019 - Final Program
The American Heart Association’s Scientific Sessions 2019 is bringing big science, big technology, and big networking opportunities to Philadelphia, Pennsylvania this November. This event features five days of the best in science and cardiovascular clinical practice covering all aspects of basic, clinical, population and translational content.
Cardiac Regeneration
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Biological Network Analysis
Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource. Presents recent advances in biological network analysis, combining Graph Theory, Graph Analysis, and various network models Discusses three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN) and Human Brain Connectomes Includes a discussion of various graph theoretic and data analytics approaches
MICHELA'S MUSINGS.
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