Respiratory diseases continue to represent a major global health burden, ranking among the leading causes of morbidity and mortality. They encompass a wide range of acute and chronic conditions—including chronic obstructive pulmonary disease (COPD), asthma, interstitial lung disease, pneumonia, acute respiratory distress syndrome (ARDS), and pulmonary vascular disorders—that together account for millions of deaths and hospitalizations every year. Despite substantial progress in prevention and clinical management, significant challenges remain in achieving early and accurate diagnosis, effective risk stratification, personalized therapy, and reliable outcome prediction for diverse patient populations.
This Research Topic seeks to highlight cutting-edge developments in the diagnosis, management, and prognostication of respiratory diseases. A particular focus is placed on innovative biomarkers, predictive modeling, and data-driven decision-support systems that bridge clinical practice, translational research, and computational science. By integrating advanced methodologies, including artificial intelligence (AI), machine learning, and multi-omics approaches with traditional clinical research, we aim to promote precision medicine and improve patient-centered outcomes in respiratory and critical care medicine.
We invite contributions in the form of original research, reviews, systematic reviews, meta-analyses, case reports, study protocols, and methodological papers that address novel strategies for enhancing diagnostic precision, optimizing therapeutic interventions, and improving prognostic evaluation across respiratory pathologies. • Innovative diagnostic technologies, including advanced imaging, molecular and genetic biomarkers, and multi-omics profiling • Biomarkers of disease severity, progression, and therapeutic response • Development and validation of predictive models and clinical risk assessment tools • Applications of artificial intelligence, machine learning, and big data analytics in respiratory and critical care medicine • Precision medicine approaches and individualized treatment optimization • Emerging pharmacological and non-pharmacological interventions, including novel therapeutics and supportive care strategies • Critical care advances, such as ventilatory management and outcomes in intensive care settings • Epidemiological analyses and real-world evidence from large clinical cohorts, databases, and registries • Long-term follow-up of respiratory disease survivors, focusing on quality of life, rehabilitation, and post-ICU syndromes
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Clinical Trial
Data Report
Editorial
FAIR² Data
General Commentary
Methods
Mini Review
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
