Arthritis Research & Therapy is presenting a new Collection on New Developments in Osteoarthritis. From multi‑omics and imaging to biomechanics, machine learning, and regenerative therapies, this Collection highlights innovative research that uncovers new drivers of disease, identifies therapeutic targets, and develops tools for early detection and personalised care.

This Collection aims to gather innovative research on the application of Artificial Intelligence in oncology, focusing on machine learning, deep learning, and their implications for cancer diagnosis and tumour detection. We welcome submissions that explore the latest advancements in AI technologies and their potential to enhance clinical practice, improve patient outcomes, and personalise cancer treatment strategies.

This Collection on delirium in older adults seeks to advance research on the complexities of delirium, including its diagnosis, subtypes, and prevention strategies. We welcome original research, reviews, and case studies that will enhance understanding and improve management practices for this critical issue affecting older adults.

This Collection aims to explore research on alcohol-related liver disease (ARLD), from its underlying pathophysiological mechanisms to effective management strategies. We invite submissions that address various aspects of ARLD, including pathophysiology, diagnosis, treatment, and the role of lifestyle interventions, with the goal of advancing knowledge and improving clinical outcomes for affected individuals.

This Scientific Reports Collection brings together original research focused on the design, fabrication, and application of optical cavities.

This Collection invites original research on privacy-preserving technologies, secure interaction protocols, and ethical frameworks that safeguard personal data while enabling seamless and trustworthy human-machine collaboration.

This Collection invites original research on nowcasting techniques, data fusion, model development, and operational applications.

This collection aims at gathering publications targeting the overcome of specific technical difficulties in setting up a proper robotic bird in a devoted set, creating a unique environment aimed at favoring discussion, cooperation, and confrontation among the scientists involved in the matter.

This Collection welcomes original research on agroecological weed management, including advances in techniques and strategies for landscape-scale management.

This collection brings together cutting-edge research, case studies, and theoretical perspectives that address contemporary challenges and innovations in waste-to-value technologies, energy transitions, or environmental materials science. The scope is deliberately broad, capturing work that spans fundamental science, applied research, and polymer blends and composites and prototype development, with the goal of showcasing how academic insights can translate into practical solutions for society.

This Collection aims to explore the critical role of advanced decision-making methodologies under uncertainty, focusing specifically on the robust application of aggregation operators based on various fuzzy set extensions across complex systems in engineering and management.

This collection aims to bring together cutting-edge research that leverages SciML for risk analysis, vulnerability assessment, and uncertainty quantification in structural engineering. Contributions will explore innovative methodologies, computational frameworks, and applications that enhance resilience and reliability in structural systems.

This Collection aims to compile innovative research on myeloproliferative disorders, focusing on their pathophysiology and therapeutic advancements. We welcome submissions that explore molecular diagnostics, targeted therapies, and the biological mechanisms underlying these conditions, with the goal of enhancing our understanding and treatment of MPNs to improve patient outcomes.

This Collection will explore the impact of micromobility on individual wellbeing and its potential to contribute to climate action.

Edited and approved by Piero - 21/08/2025 This Collection invites research focused on decision tools to manage and prevent antimicrobial resistance (AMR). We seek submissions that explore innovative strategies, including digital monitoring, personalized therapy, and frameworks for responsible antibiotic use, to counter the growing threat of antibiotic-resistant infections and improve patient outcomes.

This Collection invites original research on the design, development, and deployment of robotic and navigation technologies, with a focus on engineering, novel algorithms, system architectures, and applications that expand the capabilities of intelligent autonomous systems.

This Collection welcomes studies into zoonotic diseases that research host genetics and molecular pathomechanisms, as well as those that provide a One health perspective by researching natural reservoirs and environmental impact.

This Collection welcomes original research that utilises physical systems to enhance the adaptability and generalisability of intelligent agents.

This collection invites submissions that adopt a comprehensive and integrative approach to breast cancer research. By fostering interdisciplinary dialogue and innovation, this collection aims to accelerate progress in breast cancer research and improve clinical care across species. Areas of particular interest include:

This Collection explores the relationship between environmental exposures and personalized risk, inviting research that addresses the exposome, precision environmental health, and tailored interventions. We welcome submissions that contribute to a deeper understanding of how environmental factors affect human health and how this knowledge can be utilized to develop personalized risk assessments and interventions.