Stem Cell Research

Recent Advances in Biomedical Applications of Fluorescent Carbon Dots.

Carbon dots have become one of the most versatile families of nanomaterials, distinguished by their exceptional photoluminescence, water dispersibility, and intrinsic biocompatibility. In the past five years, substantial advances have been achieved in the rational design, sustainable synthesis, and biomedical deployment of carbon dots. This mini-review surveys progress between 2020 and 2025, empha...

Maternal obesity and the embryonic rewiring of feeding circuits: beyond the hypothalamus.

Maternal obesity disrupts fetal hypothalamic development by inducing structural changes in feeding circuits, such as reduced hypothalamic precursor proliferation, blunted energy-status sensing, and aberrant wiring of melanocortin pathways, ultimately promoting long-term obesity risk in offspring. Although this hypothalamic reprogramming has dominated research, emerging evidence supports a broader,...

Computational Advances in Biomaterial Engineering: Mapping Research Trajectories Through Bibliometric Analysis.

Alternatives to animal models, including computational-based approaches, are now prioritized by regulatory and funding agencies in biomedical research...

Future Pharmacists in the Age of Artificial Intelligence: A Mixed-Methods Study of First-Year Students in Vietnam.

OBJECTIVES: To assess AI readiness, perceptions, and usage patterns among first-year pharmacy students, and to identify factors associated with AI eng...

Measuring AI literacy in medical students: scale development and validation within a self-determination theory framework.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare, making AI literacy an essential competency for medical students. ...

Treatment effect heterogeneity of radiotherapy in localized Ewing sarcoma: A secondary analysis of the EURO-E.W.I.N.G. 99 and Ewing 2008 trial.

INTRODUCTION: Standard Ewing sarcoma treatment includes chemotherapy and local therapy. Previous studies found no average treatment effect of combined...

Epigenetic research methods and animal models for intervertebral disc degeneration (Review).

Intervertebral disc degeneration (IVDD) is increasingly recognized as a systemic collapse of the epigenetic regulatory network, driven by cellular sen...

Machine learning based hepatic safety score predicts decompensation in hepatocellular carcinoma systemic therapy.

Hepatocellular carcinoma (HCC) frequently coexists with portal hypertension, significantly increasing the risk of hepatic decompensation (HD) and vari...

Radiomics analysis of restaging MRI for detection of pathological complete response in locally advanced rectal cancer.

PURPOSE: magnetic resonance imaging (MRI)-based radiomics has emerged as a promising approach for non-invasive prediction of treatment response in rec...

Moral MedTech: Exploring Ethics-by-Design for Artificial Intelligence in Healthcare via Serious Gaming.

Artificial Intelligence (AI) is reshaping healthcare through data-driven medical technologies. While offering efficiency and personalization, these sy...

From Principles to Action: A French Framework for Operationalizing Ethics in Health AI.

Artificial intelligence (AI) is rapidly transforming healthcare but raises ethical concerns. To address these, the French Delegation for Digital Healt...

Participatory Assessment of Ethics in AI: A Review.

INTRODUCTION: Artificial Intelligence (AI) is reshaping digital healthcare by advancing disease detection, treatment options, and individualized patie...

Expert Evaluation of an AI Governance and Ethics Framework Implemented at a University Hospital.

BACKGROUND: Artificial intelligence (AI) is increasingly becoming an integral part of everyday life, including in the healthcare sector. When used in ...

Integrating the Learning, Cognition, AI, and Pedagogy (L-CAP) Framework into Health Professions Education.

Health-professions education has moved beyond traditional lecture-based instruction toward competency-based and student-centred learning approaches, s...

Targeting metabolic dysregulation in postmenopausal breast cancer: Synergistic effects of nutrition-based interventions and exercise on molecular and cellular pathways.

Postmenopausal females diagnosed with breast cancer who are undergoing aromatase inhibitor (AI) therapy often exhibit metabolic disturbances, which ma...

Hyperbaric oxygen in the artificial intelligence era: integration and innovation.

Hyperbaric oxygen therapy is established for decompression illness, carbon monoxide poisoning, radiation-induced tissue injury, and diabetic foot ulce...

"Bioprinting of Hair: How Far We Proceeded and What Needs to be Done".

Alopecia is a common dermatologic disorder with psychological and quality-of-life impact. Current options such as PRP, topical agents, microneedling o...

Optimizing adjuvant therapy selection with machine learning after transoral surgery in HPV-related oropharyngeal cancer.

BACKGROUND: De-escalation after transoral surgery (TOS) for HPV-related oropharyngeal squamous cell carcinoma (OPSCC) requires accurate risk stratific...

Evaluating the feasibility of a scalable, digitally supported model for global collaborative surgical research: protocol for a prospective, international, multicentre observational study in cryptoglandular anal fistula treatment (CRAFT).

INTRODUCTION: Management of cryptoglandular anal fistula is characterised by wide variation in diagnostic strategies, surgical techniques and outcome ...

Immune Checkpoint Inhibitor-Associated Cardiovascular Toxicity: Mechanisms, Clinical Manifestations, and Clinical Impact.

Immune checkpoint inhibitors (ICIs) represent a class of novel anticancer agents that enhance T cell-mediated recognition and elimination of tumor cel...