Stem Cell Research

Metabolomic Profiling and Machine Learning-Based Prediction of High-Dose Methotrexate-Induced Liver Injury in Pediatric Acute Lymphoblastic Leukemia.

BACKGROUND: High-dose methotrexate (HD-MTX) is essential for pediatric acute lymphoblastic leukemia (ALL) but frequently causes hepatotoxicity. To address the critical lack of early prediction tools, this study investigated untargeted metabolomic profiles to identify predictive biomarkers and establish robust machine learning (ML) models for early clinical risk assessment and therapeutic optimizat...

Performance of GPT-4o and Claude in Medical Ethics Scenarios: Comparative Study.

BACKGROUND: The emergence of AI technology has sparked curiosity regarding the capabilities of large language models (LLMs) in the field of medicine. Minimal research exists regarding the proficiency of various AI models in ethics scenarios, specifically in specialty-based scenarios. OBJECTIVE: This study aimed to compare the performance of GPT-4o and Claude Sonnet 4 on ethics questions with that ...

Battling the Bots and Defending Against Fraudulent Responses in an International Community-Engaged Web-Based Survey With People Living With Long COVID: Methodological Study.

BACKGROUND: Web-based surveys involving self-reported questionnaires are vulnerable to fraudulent responses. Advancements in artificial intelligence a...

Double deletion mutation induced active site remodelling modulates substrate specificity in KPC-14 β-lactamase.

The emergence of KPC variants with altered substrate profiles poses a major challenge for β-lactam antibiotic therapy. KPC-14, which contains a double...

A deep learning model for speech-based prediction of clinical scores in people with Huntington's disease: a longitudinal study with cross-sectional replication.

BACKGROUND: Sensitive monitoring tools are needed to track progression in neurodegenerative diseases and assess interventions before overt brain damag...

A conceptual framework for measuring AI health equity.

BACKGROUND: Artificial intelligence (AI) is increasingly embedded in health systems globally and has the potential to improve efficiency, diagnostic a...

Nursing as social control: An ethical perspective on care in dystopian contexts.

This article offers a comprehensive analysis of the representations of nursing and healthcare in contemporary and classic dystopian literature and fil...

Principles for Responsible AI in Health Professions Education, Research, and Care: Health CARE-AI (Contextual, Accountable, Responsible, and Equitable Artificial Intelligence) Framework Delphi Consensus Study.

BACKGROUND: Artificial intelligence (AI) is rapidly integrating into health professions education and clinical practice, creating significant opportun...

DEGRO consensus framework for undergraduate radiation therapy teaching in Germany: a white paper with integrated guidance on artificial intelligence in medical education.

BACKGROUND AND PURPOSE: Undergraduate medical education is increasingly competency-based, digital, and interprofessional in accordance with the Nation...

Performance of artificial intelligence in the collection of patient history in general practice.

OBJECTIVE: Automating administrative tasks, such as compiling a patient's medical history, could help general practitioners in their daily work. AI pe...

[Sarcoidosis-associated uveitis: Current status and future prospects].

Sarcoidosis-related uveitis is the most common manifestation of ocular sarcoidosis. It can occur at any age but preferentially affects adults aged 30 ...

Nursing roles, competencies, and education in precision oncology: a scoping review.

BACKGROUND: Nurses contribute across the precision cancer care pathway, providing continuous, person-centred care and supporting genomic testing integ...

Mesenchymal stem cell-derived secretome in traumatic brain injury: Stage-specific paracrine mechanisms and translational challenges.

Traumatic brain injury (TBI) is a stage-dependent disorder that evolves from acute neuroinflammation, blood-brain barrier (BBB) disruption, oxidative ...

Can AI speak endo? A multi-platform evaluation of large language models against ESHRE endometriosis guidelines.

STUDY QUESTION: How do the three most widely accessible large language models perform in terms of accuracy, consistency, and reliability when answerin...

Multiomics integrative bioinformatics analysis of gene expression characteristics and molecular mechanisms in preeclampsia placental tissue.

Preeclampsia (PE) is a severe pregnancy-specific complication characterized by new-onset hypertension and proteinuria after 20 weeks of gestation, whi...

Targeting the FoxO-ferroptosis axis: mechanistic insights into Saikosaponin A-mediated protection against cartilage degeneration in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) is a common chronic inflammatory orthopedic disease, and ferroptosis (a novel OA-associated cell death mechanism) rema...

Discovery of a DNA methylation episignature for Weiss-Kruszka syndrome.

Weiss-Kruszka syndrome (WSKA; OMIM 618619) is a rare autosomal dominant neurodevelopmental disorder caused by haploinsufficiency of ZNF462, a zinc-fin...

Exosomes in cancer drug resistance: dual roles in therapy failure and emerging precision therapeutics.

Exosomes play a key role in cancer, functioning both as drivers of drug resistance and as tools for therapy. Tumor-derived exosomes facilitate interce...

Influence of artificial intelligence on xenotransplantation and regenerative medicine on the path toward ending the organ shortage.

The purpose of this review is to summarize the most influential and conceptually significant publications from the past 2 years, including substantial...

AI-enabled therapy platforms: Clinical promise, ethical challenges, and cultural considerations in mental health Care.

The integration of artificial intelligence (AI) into mental health care presents significant opportunities to address gaps in access, affordability, a...