This special issue aims to present recent advances in distributed machine learning for AIoT, with a strong emphasis on trustworthy, privacy-enhanced, secure, and robust learning frameworks. The focus spans learning paradigms, theoretical foundations, algorithms, system architectures, and real-world applications that enable intelligent IoT under data heterogeneity, communication constraints, limited resources, and adversarial environments.

This collection explores challenges in Parkinson’s disease-modification trials, focusing on endpoints and evolving FDA/EMA regulatory expectations.

This collection explores how big data can be harnessed to build intelligent platforms that prioritize user needs, behaviors, and ethics. It invites research on modeling, personalization, trust, privacy, and responsible AI, aiming to advance adaptive, socially aware systems across domains like healthcare, mobility, and digital communities.

This collection brings together systematic reviews on the public health impacts of armed conflict, humanitarian crises, and forced migration. It highlights evidence on infectious diseases, nutrition, maternal health, mental health, NCDs, health systems, and protection from violence to inform effective humanitarian response.

This Scientific Reports Collection invites original research on the topic of organoid bioprinting, including bioprinting, organoids, 3D bioprinting, 3D tissue engineering, functional organoids, stem cells, stem cell-derived organoids, and biofabrication.

This Scientific Data collection of articles focuses on descriptions of datasets related to any aspect of water collection, treatment, or infrastructure.

This Collection seeks to gather research on the development and/or impact of digital tools and platforms designed to be implemented in assisted living settings, including smart home technologies, wearable devices, and telehealth services for assisted living.

This Collection seeks to highlight innovative research in the methodologies used to study intercellular communication. By inviting contributions that explore novel imaging techniques, single-cell analysis methods, and computational models, this Collection aims to advance our understanding of cell signaling pathways and their implications in health and disease. Through this collaborative effort, we hope to foster the development of more effective therapeutic strategies and deepen our insights.

This collection explores privacy challenges in Brain-Computer Interfaces (BCIs) through bio-inspired computational approaches. It invites research on secure neural data processing, ethical frameworks, and biologically inspired models that enhance privacy, trust, and transparency in BCI systems. The focus is on interdisciplinary solutions bridging neuroscience, AI, and computational intelligence.

Applications of smart, novel and sustainable polymeric composites in environmental, biomedical, energy and automotive areas based on circular economy.

Healthcare professionals operate in high-pressure, complex environments where heavy workloads, role conflicts, emotional labor, ethical challenges, and adverse occupational experiences place substantial strain on mental health and psychological well-being, contributing to burnout, moral injury, psychological distress, trauma-related symptoms, and workforce attrition. This Collection aims to advance understanding of mental health outcomes, risk and protective factors, and evidence-based individua

This Collection invites research on the complex relationship between cardiovascular disease and HIV, focusing on the mechanisms, implications, and treatment strategies related to both conditions. We welcome submissions that explore topics such as infectious impacts on cardiovascular health, myocarditis, endocarditis, and post-viral immune responses, aiming to enhance understanding and improve patient care for those living with HIV.

Topics include scalable analytics frameworks for sustainable smart cities, AI-driven energy efficiency, predictive modeling for circular economy practices, real-time monitoring of carbon emissions, digital twins for sustainable infrastructures, and responsible AI for green IT. The aim is to foster interdisciplinary advances that leverage the power of data science to promote sustainable development in a digitally transformed society.

The collection will highlight both practical innovations and deeper scientific advances, providing a forum for new ideas that can support the future of safe, robust, and efficient nuclear energy.

This Collection focuses on the fundamental and applied surface/interface phenomena that govern performance, degradation, and functional evolution of materials under extreme energy fields, including intense thermal, mechanical, radiative, and electromagnetic fluxes. We welcome experimental, theoretical, and computational studies, as well as reviews, on non-equilibrium structural evolution, damage and material removal, interfacial heat transfer and failure under high gradients/fluxes......

This Collection seeks to highlight new innovative research and clinical advancements in hormone-based therapies for metabolic diseases, particularly emphasizing the critical role of incretins in treatment strategies.

This collection invites insights on managing post-abandonment landscapes—afforest, rewild, restore—balancing biodiversity, climate resilience, and equity.

This Collection aims to gather innovative research that elucidates the multifaceted roles of fungal toxins at the host–fungal interface and, in parallel, also studies dedicated to understand the role of mycoviruses in modulating the fungal behavior and the toxin production. We especially encourage submissions that explore the ecological and agricultural implications of these interactions, particularly in relation to crop health and food safety.

In the current era of Industry 5.0, the transformation of engineering education is a prerequisite for achieving global sustainability. This collection seeks to bridge the gap between digital innovation and industrial accountability. Unlike traditional educational collections, this S.I. focuses on the quantifiable assessment of how transformative technologies—such as Digital Twins, Knowledge Data Management (KDM), and Social Knowledge Networks—impact student-led projects.

This Collection aims to explore the intersection of urban transformation, ethical design, and innovation in the context of territorial care. We invite researchers to contribute studies that address the complexities of urban transitions, emphasizing governance, spatial justice, and adaptation. By fostering dialogue and sharing insights, this Collection seeks to advance knowledge that can shape equitable and sustainable urban futures.