This Collection highlights the immune system as a central player in tissue repair and engineering. It focuses on biomaterials, cellular therapies, and combined cell-biomaterial strategies that actively modulate immune responses to promote regeneration and restore tissue function.

This Special Issue highlights advances in Hybrid Computational Intelligence for trustworthy decision support, uniting Knowledge Engineering with advanced machine learning, including fuzzy‑logic‑enhanced models and XAI. Building on the joint FLINS‑ISKE 2026 conference, it showcases novel methods for robust, interpretable, and knowledge‑driven information fusion in complex environments.

A central aim of this Collection is to integrate scientific rigor with equity, ethics, and governance. We welcome contributions addressing inclusive participation and benefit‑sharing; data sovereignty and responsible access; community and indigenous engagement; privacy‑preserving computation; biosecurity; and responsible applications of AI in genomics.

This Special Issue explores how AI, combined with high‑resolution environmental data and ecological theory, can deepen understanding of complex ecological processes. We highlight process‑aware models, explainable AI, digital twins, and intelligent systems that link observation, simulation, and decision-making. The goal is to advance interpretable, actionable ecological intelligence for sustainable ecosystem stewardship.

This Collection focuses on human papillomavirus as the leading oncogenic virus in women’s health, highlighting advances in viral oncogenesis, host–virus interactions, innovative diagnostics, and translational strategies that aim to reduce the global burden of HPV associated gynecologic and related cancers.

This collection invites contributions addressing key emission sources and inventories, advances in measurement and monitoring approaches (including ground-based, airborne, and satellite observations), and mitigation technologies, policies, and regulatory frameworks aimed at reducing SLCP emissions.

Motivation remains a cornerstone of successful language learning. This collection focuses on the psychological, social, and pedagogical dimensions of motivation and engagement in second and foreign language contexts. It seeks studies exploring motivational theories, learner identity, affective engagement, and innovative approaches to sustaining learner interest across diverse educational settings.

AI‑driven Internet of Vehicles (IoV) uses AI to enable intelligent sensing, communication, control, and decision‑making among connected vehicles and infrastructure. By combining learning‑based methods with vehicular networking and edge computing, it addresses high mobility, dynamic environments, and strict safety and latency requirements, underpinning next‑generation intelligent transport and 6G vehicular networks.

This collection welcomes original research on fibre characterization, health effects, microbiome interactions, and notable technological or clinical advances across diverse populations.

The Scope of the Collection is to update the knowledge on research applied to the functional evaluation of Recent Innovative Foods towards the host, in particular in respect to the gut and the gut microbiota.

This Collection welcomes submissions of original, integrative, and multidisciplinary research on boreal forest biogeochemical cycles.

This topic explores frameworks that merge blockchain (or distributed ledger) technologies with peer-to-peer (P2P) systems to enable secure, transparent, and trust-minimized data sharing, digital content distribution, and decentralized economies. Submissions should focus on protocol designs, system architectures, or real-world implementations that ensure data integrity, access control, accountability, and decentralized governance — while maintaining P2P flexibility and scalability.

This Collection focuses on sustainable rangeland and grazing systems under global environmental change, with particular attention to restoration strategies, soil carbon dynamics, biodiversity conservation, and ecosystem services. It welcomes interdisciplinary research integrating field experiments, modelling, and digital technologies to support climate-smart and resilient rangeland management worldwide.

BMC Nutrition is calling for submissions to our Collection on the Mediterranean diet and its role in the prevention and mitigation of chronic diseases.

Artificial intelligence (AI) has emerged as a powerful enabler of sustainable transformation. For SMEs, AI can enhance energy management, optimize resource use, support sustainability reporting, improve decision-making processes, and foster greener and more resilient business models. Yet dedicated research examining how SMEs can practically deploy AI for sustainability across varying economic and institutional contexts remains limited.

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This Collection aims to explore the integration of geophysical, geochemical, and remote sensing techniques to advance mineral exploration in arid and semi-arid environments.

This collection explores how disaster‑induced mental health problems intensify chronic physical conditions, underscoring the public health importance of understanding mental–physical comorbidity to improve disaster preparedness, guide integrated care strategies, and strengthen community resilience.

This Scientific Data collection welcomes descriptions of any dataset relevant to cancer research, including ’omics data; in vitro, in vivo, in silico, and human studies; early‑phase drug discovery data; as well as larger cohort and population‑level datasets related to measuring outcomes and disease occurrence at large scales.

This Collection Advanced Cement and Concrete for Sustainable, Intelligent, and Resilient Infrastructure provides a venue for researchers, engineers, and materials scientists to report recent advances in cement and concrete materials for future infrastructure.