Stem Cell Research

Artificial intelligence in antimicrobial stewardship: prediction, clinical applications, and implementation challenges.

BACKGROUND: Antimicrobial resistance (AMR) continues to threaten modern infectious diseases practice. Antimicrobial stewardship programs (ASPs) remain central to optimizing antimicrobial use, yet stewardship has become increasingly challenging because of rising clinical complexity, expanding data sources, and persistent workforce and analytic constraints. Artificial intelligence (AI) may strengthe...

Novel indicator for colonoscopy insertion difficulty and its application in predictive modelling: a multicentre prospective study protocol in China.

BACKGROUND: Colonoscopy is a cornerstone for the screening and diagnosis of colorectal diseases. Colonoscopy insertion difficulty is associated with examination quality, procedural efficiency and patient comfort. Cecal intubation time (CIT) is commonly used as a surrogate measure of insertion difficulty; however, it is substantially influenced by endoscopist experience, equipment characteristics a...

The Relational Care-AI Alignment Framework: An Ethical Model for Artificial Intelligence Involvement in Person-Centred Fundamental Care.

AIM: To propose an ethical decision-making framework for artificial intelligence (AI) involvement in person-centred fundamental care, organised around...

An integrated deep learning and Bayesian computational method-based quantification of angiogenesis in the chick embryo model.

Angiogenesis is the process of the formation of new blood vessels from existing vessels, and it sits directly at the intersection of normal physiology...

Dynamic prediction of cardiovascular risk from linked primary care records in New South Wales, Australia: protocol for a retrospective prognostic modelling study.

INTRODUCTION: Cardiovascular disease (CVD) remains a leading cause of preventable morbidity and mortality. Most existing CVD prediction tools use a ba...

The 2025 National Institute of Health Budget Cuts and the Future of Radiology Innovation: Implications for the Physician-Scientist Pipeline and Research Paradigms.

The United States National Institutes of Health (NIH) serves as the cornerstone of biomedical research funding. Yet, radiology departments receive a d...

Identifying subsets of patients with retroperitoneal sarcoma who benefit from radiotherapy: an Interpretable AI reanalysis of the STRASS randomised trial.

BACKGROUND: The European Organisation for Research and Treatment of Cancer's STRASS trial, the only completed randomised study of preoperative radioth...

Tumour cell density quantified by artificial intelligence is associated with differential benefit from irinotecan-based chemo-radiotherapy in locally advanced rectal cancer: a post-hoc study of the phase 3 ARISTOTLE trial.

BACKGROUND: Tumour cells and tumour-associated stroma are key components of the tumour microenvironment, and their interaction impacts disease progres...

AI-integrated multi-omics platform to revolutionize anti-metastatic therapy development through circulating tumor cell profiling: SCRUM-MONSTAR-CTC.

BACKGROUND: Metastatic disease remains the leading cause of cancer-related death, yet most precision oncology strategies still emphasize profiling pri...

Laboratory medicine 2050: from testing to health intelligence network, a vision from the IFCC Emerging Technologies Division.

Laboratory medicine is undergoing a profound transformation driven by advances in artificial intelligence (AI), automation, and data interoperability....

Blue-green infrastructure for urban resilience enhancement pathways: A hybrid empirical study integrating machine learning and Panel-QCA.

Under the dual pressures of climate change and rapid urbanization, blue-green infrastructure (BGI) has emerged as a core strategy for enhancing urban ...

The High-Intensity Zone: A Dynamic Inflammatory Hub in Lumbar Disc Degeneration.

The lumbar intervertebral disc high-intensity zone (HIZ), a focal hyperintensity within the annulus fibrosus on T2-weighted magnetic resonance imaging...

Retinal Pigment Epithelium and Microglia Transplantation in Age-related Macular Degeneration.

Age-related macular degeneration (AMD) remains a leading cause of irreversible blindness worldwide, characterized by the progressive breakdown of the ...

Development and validation of a machine learning-based hierarchical classification model for predicting the early therapeutic response to initial 131I therapy in papillary thyroid carcinoma.

OBJECTIVE: Personalized tools for accurately predicting papillary thyroid carcinoma (PTC) patients' response to initial 131I therapy are lacking. This...

Interpretable dynamic quantitative vascular morphometry features using SHAP for anti-angiogenic therapy response prediction.

Anti-angiogenic therapy benefits vary, with response rates of 40 to 70%, highlighting the need for early biomarkers to identify responders. We develop...

Educating pharmacists for an artificial intelligence augmented profession: A narrative review of curricular and accreditation imperatives.

Generative artificial intelligence (AI) moved from novelty to clinical infrastructure within a single Doctor of Pharmacy program, yet pharmacy curricu...

The Best of Both Worlds: How Combining a Large Language Model and a Rule-Based Algorithm Makes Catheter-Associated Urinary Tract Infection Surveillance More Efficient.

BACKGROUND: Catheter-associated urinary tract infection (CAUTI) surveillance is critical for patient safety. Many healthcare systems use electronic al...

Zebrafish as a versatile model in biomedical research, from disease modeling to regenerative medicine: a review.

Zebrafish are an effective animal model widely utilized in biomedical research. They are known for their rapid reproduction and substantial genetic si...

Multimodal features and prognostic risk assessment in locally advanced gastric cancer patients following neoadjuvant therapy based on machine learning algorithms: a multicenter study.

BACKGROUND: Neoadjuvant therapy (NAT) is recommended for locally advanced gastric cancer (LAGC), but some patients respond poorly. We aimed to constru...

Mapping National Governance of AI for Health: Protocol for a Global Scoping Review.

BACKGROUND: AI is rapidly transforming health systems, expanding from diagnostic imaging and predictive analytics to large language model-enabled clin...