Stem Cell Research

Application of hiPSCs for tissue modeling and therapy: are we on track?

Stem cells are key for development of disease modeling and therapies. While promising, however, current application of cutting-edge hiPSC technologies is, among others, confounded by cellular heterogeneity leading to concerns about their suitability for experimental and clinical applications. Variations across donors, tissue sources, methodologies, and analytical challenges, together contribute to...

The Ethics Committee of the Italian Society of Anesthesia, Analgesia, Resuscitation and Intensive Care (SIAARTI) - Artificial intelligence in end-of-life decision-making processes: ethical reflections.

Recent proposals to use artificial intelligence (AI) in end-of-life decision-making for incapacitated patients without advance directives have prompted critical reflection by the Ethics Committee of the Italian Society of Anesthesia, Analgesia, Resuscitation and Intensive Care (SIAARTI). This position paper analyzes both general ethical concerns surrounding AI in clinical practice and specific iss...

Prevalence and determinants of sacroiliac joint bone marrow oedema in the general population in Germany: a population-based cross-sectional study.

BACKGROUND: MRI-detected bone marrow oedema in sacroiliac joints is central to diagnosing axial spondyloarthritis, influencing treatment decisions inc...

Modulation of tumor-derived exosomes and reprogramming of cancer-associated fibroblasts for colorectal cancer therapy.

Hypoxia is pervasive within the solid tumor microenvironment (TME), reshaping it through exosome release. As the main component of the tumor stroma, f...

Multiple machine learning models for the prediction of an early response to radioactive iodine therapy in hyperthyroidism: ablative dose concept.

BACKGROUND: The aim of this novel study was to explore the possibility of the development of a machine learning (ML) model that can predict early resp...

Single-cell and spatial transcriptomic profiling of POU5F1 in Lung Adenocarcinoma: Dynamics, spatial niche, and prognosis via multi-algorithm ML.

BACKGROUND: POU5F1 (OCT4), a core regulator of pluripotency, plays an important role in tumor stemness and immune microenvironment remodeling, yet its...

The Pathophysiology of Spontaneous Preterm Birth: Emerging Mechanisms Reviewed by the Preterm Birth International Collaborative.

Around 10% of global births are preterm (before 37 weeks of gestation), posing a significant challenge to maternal and neonatal health. Preterm infant...

Non-invasive profiling of the tumour microenvironment with spatial ecotypes.

Multicellular programs in the tumour microenvironment (TME) drive cancer pathogenesis and response to therapy but remain challenging to identify and p...

Evidential reasoning-enabled deep learning for reliable treatment outcome prediction in cancer therapy.

Treatment outcome prediction plays an important role in realizing personalized cancer therapy. In triple-negative breast cancer (TNBC), neoadjuvant ch...

Relational-temporal dignity at the end of life: Ethical foundations for the DiRePal model in the algorithmic age.

OBJECTIVES: The increasing presence of artificial intelligence (AI), electronic patient-reported outcomes (ePROMs), and digital infrastructures in pal...

The aging eye: navigating molecular mechanisms and innovative interventions.

The global demographic shift toward aging has precipitated a surge in age-related ocular pathologies, imposing a formidable public health challenge th...

Understanding LUng Cancer risk factors and their Impact Assessment (LUCIA): protocol for multicentre observational cohort study.

INTRODUCTION: Lung cancer (LC) is the leading cause of cancer-related mortality worldwide, primarily due to diagnosis at advanced stages. Although low...

Practical guidance for echocardiography for cancer therapy-related cardiac dysfunction: 2026 focused update.

BACKGROUND: Cancer therapy-related cardiac dysfunction (CTRCD) has become an important clinical issue with advances in cancer treatment and improved p...

Comprehensive Multi-Omics Profiling of Tertiary Lymphoid Structures Reveals Immunogenetic Landscapes and Prognostic Subtypes in Lung Adenocarcinoma.

Tertiary lymphoid structures (TLSs) are key components of the tumor immune microenvironment and show prognostic relevance in many cancers. However, th...

Toward an AI-integrated nursing curriculum: A Kano model analysis of generative AI competency needs.

BACKGROUND: Generative artificial intelligence (GenAI) is increasingly influencing nursing practice and education, yet a gap remains between technolog...

Engineered artificial antigen-presenting cells for tumor immunotherapy: Design strategies, clinical applications, and translational challenges.

Immunotherapy has long played a pivotal role in cancer treatment, and antigen-presenting cell (APC)-based immunotherapy represents a promising strateg...

Supervised contrastive learning for cell stage classification of animal embryos.

Video microscopy, when combined with machine learning, offers a promising approach for studying the early development of in vitro produced (IVP) embry...

Effectiveness of Patent Foramen Ovale Occlusion Devices Versus Medical Therapy: An Indirect Comparison Based on Reconstructed Individual Patient Data.

BACKGROUND: Percutaneous closure of patent foramen ovale (PFO) reduces the risk of recurrent stroke in selected patients with cryptogenic stroke. Howe...

Contextualizing Socioeconomic Status Effects on Adolescent Brain Structure and Cognitive Skills: Evidence From the ABCD Study.

Youths' socioeconomic status (SES) correlates with academic, cognitive, and neural outcomes, partly driven by influences on the developmental environm...

Research priorities for improved pandemic and epidemic intelligence.

Pandemic and epidemic intelligence integrates surveillance data with contextual knowledge to assess health risks and inform public health decisions. A...