Dr. Hamed Aghazadeh / Dr. Samin Aboulhassanzadeh / Dr. Sobhan Aboulhassanzadeh
Librería Samer Atenea
Librería Aciertas (Toledo)
Kálamo Books
Librería Perelló (Valencia)
Librería Elías (Asturias)
Donde los libros
Librería Kolima (Madrid)
Librería Proteo (Málaga)
This book explores how macrophage heterogeneity shapes the initiation and progression of atherosclerosis, integrating single-cell transcriptomic profiling with advanced AI-driven analytical frameworks. By mapping distinct macrophage subpopulations, their molecular signatures, and their interactions with immune checkpoints, the text provides a deeper understanding of inflammatory imbalance within arterial plaques. It highlights how machine-learning models refine cell-state classification, predict functional transitions, and reveal regulatory networks that remain hidden in conventional analyses. With a focus on translational relevance, the book demonstrates how integrating single-cell data with artificial intelligence enables more accurate identification of high-risk cellular phenotypes, improving diagnostic precision and pointing toward next-generation therapeutic strategies. It serves as a comprehensive resource for researchers seeking to combine immunology, cardiovascular biology, and computational approaches to uncover new opportunities for targeted intervention.
