Stem Cell Research

Efficacy and safety of multiple treatments for small hepatocellular carcinoma: an updated systematic review and component network meta analysis.

BACKGROUND: This is an updated component network meta-analysis to evaluate efficacy and safety of various therapeutic approaches and their combinations for small hepatocellular carcinoma (SHCC) following PRISMA 2020 guideline. METHODS: We screened two previously published meta-analyses on this topic, and searched PubMed, Embase, and the Cochrane Library from 1 January 2021 to 12 March 2026 for ran...

Deep learning-based identification, classification and segmentation of infraosseous periodontal defects using a YOLOv8 neural network.

BACKGROUND: The defect morphology determines single-tooth prognosis, surgical planning, and regenerative potential of intrabony defects. 2D radiographs are often compromised by superimposition of anatomical structures, leading to potential misinterpretation and diagnostic inaccuracies. The aim of this study was to develop YOLOv8 model to identify, classify and segment periodontal defects. METHODS:...

Not Another Grocery List: Proposals for an Effective AI Ethics Implementation.

Considerable effort has been invested during the last decade to develop ethical frameworks to guide the use of artificial intelligence (AI) technologi...

Engineering the esophagus: advances, challenges, and translational pathways in esophageal tissue reconstruction.

Esophageal reconstruction is one of the most challenging procedures in gastrointestinal surgery. While conventional therapeutic approaches, such as ga...

Nanozymes: bridging nanoscale characteristics and catalytic mechanisms for advanced biomedical applications.

Nanozymes-nanomaterials with intrinsic enzyme-like activity-have emerged as a transformative paradigm in biomedicine. Their catalytic proficiency is f...

Population pharmacokinetics of dalbavancin: external validation, model averaging, and implications for precision dosing in prolonged therapy.

Dalbavancin is increasingly used off-label for prolonged therapy in gram-positive infections, but optimal repeat-dosing strategies remain undefined, a...

Beyond Accuracy: Safety-Centered guidelines for the evaluation of LLM-based therapy recommendation systems for chronic multimorbidity patients.

BACKGROUND: With the advance of large language models (LLMs), researchers are using them to develop medical applications, including diagnosis decision...

Targeting the Myocardial Microenvironment: Novel Antiviral Strategies and Therapeutic Perspectives for Coxsackievirus B-Induced Myocarditis.

Coxsackievirus B3 is a primary cause of viral myocarditis, with ≈20% of cases progressing to dilated cardiomyopathy. Despite its clinical significance...

Artificial intelligence in clinical occupational therapy: Current and future applications and practitioner insights.

BackgroundOccupational therapy practitioners (OTPs) are increasingly using artificial intelligence (AI) in various settings to enhance evaluation, int...

AAPM Consensus Guidelines on Neuromodulation Technologies and Neurocomputer Interfaces for Pain Management and Functional Recovery.

OBJECTIVE: To provide an evidence-based framework for healthcare professionals to use neuromodulation technologies to restore neuromuscular function a...

Development of Data-Driven Models for Just-in-Time Digital Self-Management Advice to Improve Physical Functioning in Hip and Knee Osteoarthritis: Protocol for the e-cOAch Cross-Over Study.

BACKGROUND: Clinical guidelines recommend a stepped-care strategy for patients with hip and knee osteoarthritis that begins with nonoperative approach...

Diagnostic yield of electroencephalographyin the emergency department: protocol for the EMINENCE-M multicentre retrospective observational study.

INTRODUCTION: Emergency EEG (emEEG) is increasingly used in the emergency department (ED), but its diagnostic yield remains uncertain. This protocol d...

Trends in the use of adult-specific preference-weighted health-related quality of life instruments in clinical trials over the past 50 years: a protocol for a meta-research study using deep learning-based natural language processing and large language models.

BACKGROUND: Health technology assessment bodies increasingly emphasise the importance of preference-weighted health-related quality of life (HRQoL) ev...

Protocol for assessment of pain biomarkers in orthopaedic patients undergoing total knee arthroplasty in a tertiary care hospital and neuroimmunopharmacology laboratory in South Australia: a cross-sectional matched-subject observational study.

INTRODUCTION: Knee osteoarthritis is a leading cause of pain and disability and frequently results in total knee arthroplasty (TKA). Decisions about s...

Global Research Trends and Thematic Evolution in Robotic Surgery for Obstructive Sleep Apnoea: A Bibliometric and Visualisation Study.

To systematically identify research trends, collaborative patterns, thematic developments and emerging areas of interest in the field of robotic surge...

Transformation of trauma and orthopaedics across the six industrial revolutions: from mechanization to artificial intelligence applications in enhancing patient care.

BACKGROUND AND PURPOSE: Technological innovation has played a pivotal role in shaping trauma and orthopaedic surgery. This narrative review examines t...

Evaluation of the clinical applicability of artificial intelligence in determining systemic therapy indications and treatment selection in psoriasis.

OBJECTIVE: To evaluate the concordance between artificial intelligence (AI)-recommended and dermatologist-selected treatments in real-world psoriasis ...

Optimising biologic therapy in psoriasis: dose adjustment, treatment duration, and tapering-an expert perspective.

INTRODUCTION: Biologic therapies have transformed the management of moderate-to-severe psoriasis; however, long-term treatment requires optimization s...

A Socioeconomic Assessment of Projected Health Impacts From Outdoor Air Pollution Under Current European Climate Policy: A Modelling Study.

BACKGROUND: Outdoor air pollution poses a major threat to human health and is closely interlinked to climate change, as both stem largely from the sam...

Fully automated artificial intelligence-based echocardiographic analysis for global longitudinal strain monitoring and cancer therapy-related cardiac dysfunction detection in breast cancer patients.

AIMS: Global longitudinal strain (GLS) is essential for the early detection of cancer therapy-related cardiac dysfunction (CTRCD). A fully automated e...