From Molecular Mechanisms to Translational Applications and Precision Medicine
Buch, Englisch, 300 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 978-3-032-30169-7
Verlag: Springer
This book presents an integrated view of molecular, cellular, and translational aspects of cardiovascular research. It emphasizes emerging biomarkers, RNA-based therapies, extracellular vesicles, omics platforms, and artificial intelligence in risk prediction and precision medicine.
The book is an ideal resource for undergraduate and graduate students, PhD researchers, biomedical scientists, and clinicians interested in cardiovascular biology and translational medicine.
The book aims to bridge basic research with clinical applications in cardiovascular disease (CVD), the leading cause of global mortality. Serving as both a teaching resource and reference, this volume provides a clear, up-to-date guide to current trends, challenges, and innovations shaping cardiovascular science.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Biowissenschaften
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Kardiologie, Angiologie, Phlebologie
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
Weitere Infos & Material
Introduction to Cardiovascular Diseases: Global Burden, Mechanisms, and Challenges.- Cardiovascular Cell Biology: Endothelial Cells, Smooth Muscle, and Cardiomyocytes.- Inflammation, Oxidative Stress, and Immune Signaling in CVD.- MicroRNAs in Cardiovascular Health and Disease: From Regulation to Therapy.- Extracellular Vesicles as Mediators and Biomarkers in Cardiovascular Disorders.- Protein Biomarkers and Novel Therapeutic Targets in Cardiovascular Pathology.- Advances in RNA-Based Therapies and Gene Editing for Cardiovascular Treatment.- Organoids, iPSCs, and In Vitro Models for Cardiovascular Disease Research.- Omics Approaches in Cardiovascular Science: Genomics, Proteomics, and Metabolomics.- Artificial Intelligence and Machine Learning in Cardiovascular Risk Prediction.- Translational Challenges: Bridging Bench Research with Clinical Practice.- Future Perspectives in Cardiovascular Therapeutics and Precision Medicine.




