Docta Complutense
Open Access Institutional Repository of the Complutense University of Madrid, that compiles scientific production to promote the visibility and impact of Complutense research.
With the collaboration of the Ministerio de Ciencia e Innovación and the Spanish Foundation for Science and Technology (FECYT).
Recent Submissions
Tissue-specific signals that modulate type 2 responses in alveolar macrophages
(2026) Tenreiro Antón, Paula; Casals Carro, María Cristina; García-Fojeda García-Valdecasas, María Belén
The respiratory zone of the lungs, the alveoli, is responsible for gas exchange, delivering oxygen to the organism and removing carbon dioxide. To facilitate this process, a single alveolar-capillary barrier, formed by the alveolar epithelium, the interstitium, and the capillary endothelium, separates the exterior from the bloodstream. The total surface area of the human alveoli is approximately 60 times greater than the area of the skin. This huge respiratory surface is needed for the efficient diffusion of oxygen and carbon dioxide. However, this enormous respiratory area can increase the risk of infection and inflammation due to pathogens and endotoxins present in the air. For this reason, the immune defense in the alveoli is a challenge. On the one hand, it must be effective in the elimination of pathogens, but on the other hand, it must be tolerant to prevent excessive inflammation and tissue damage. The alveolar innate immune system is composed of a humoral and a cellular component. The humoral component includes antimicrobial proteins and peptides, such as lactoferrin, lysozyme, cathelicidin, defensins, pulmonary collectins (SP-A and SP-D), and alveolar phospholipids [1–3]. The cellular component consists mainly of alveolar macrophages (AMs), but also epithelial cells, dendritic cells, neutrophils, and lymphocytes [2,4]...
The EU Artificial Intelligence Act and Global AI Governance : Assessing the Economic Impact of Divergent Regulatory Approaches in the EU, US, and China
(2026) Wolters Eisenhardt, Stephan; Cabrillo Rodríguez, Francisco
Artificial Intelligence (AI) has emerged as a transformative general-purpose technology (GPT), driving unprecedented economic and industrial shifts. However, its rapid development has precipitated a complex regulatory landscape, with key geopolitical actors, the European Union (EU), the United States (US), and China, adopting divergent governance models. The EU AI Act exemplifiesa risk-based, rights-driven approach that prioritizes ethical safeguards and regulatory oversight. The US, in contrast, embraces a market-driven model, emphasizing private-sector leadership and sector-specific regulation. China integrates AI governance within its state-controlled economic and security strategy, positioning AI as a central pillar of its industrial policy. This thesis critically examines the economic ramifications of these regulatory paradigms, evaluating whether stringent AI governance hinders innovation or fosters long-term technological resilience...
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