Stem Cell Research

Exploring medical Artificial Intelligence Readiness among Korean medical students: a cross-sectional study.

INTRODUCTION: Artificial intelligence (AI) is rapidly transforming healthcare systems and clinical practice, increasing the need to prepare future physicians to work effectively with AI technologies in clinical contexts. Despite growing interest in integrating AI into medical education, empirical evidence regarding medical students' readiness to use AI remains limited. This study aimed to assess m...

Artificial Intelligence in Physical Therapy: A Narrative Review of Artificial Intelligence Applications Across the Patient and Client Management Model.

BACKGROUND AND AIMS: Artificial intelligence (AI) is rapidly transforming healthcare and has increasing relevance for physical therapy practice. This review aims to examine how AI can be integrated across the continuum of care within the Physical Therapy Patient and Client Management Model. METHODS: This narrative review synthesizes current literature and emerging applications of AI in rehabilitat...

Multi-omics Signature Predicts Anti-EGFR Therapy Benefit in Colorectal Cancer Liver Metastases: A Multi-center Cohort Study.

INTRODUCTION: Clinical management of RAS wild-type colorectal cancer liver metastases (CRLM) remains challenging because many patients exhibit primary...

Is Technology Remaking Therapy: The Screen and the Self: Telepsychiatry, AI Therapy, and the Defense Against Intimacy.

PURPOSE OF REVIEW: This paper examines several methods of technology that have challenged traditional expectations of the meaning of psychotherapy, fr...

Teaching AI ethics in medical schools: a scoping review protocol on the ethical-technical balance in curricular frameworks.

INTRODUCTION: The rapid integration of artificial intelligence (AI) technologies in healthcare, ranging from diagnostic tools to clinical decision sup...

Integrating Machine Learning and Single-Cell Analysis to Reveal the Diagnostic and Therapeutic Value of Regulated Cell Death Mechanisms in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) treatment faces significant challenges, particularly in tumor growth, metastasis, and drug resistance. While several pr...

Beyond consent: Reconstructing ethical justification in medical adaptive machine learning systems.

Medical Adaptive Machine Learning Systems (MAMLS) that continuously update their models using clinical data blur the conventional boundary between the...

Exploring the operational challenges of navigating ethical oversight in the era of artificial intelligence: a qualitative study of health research ethics committees in Tanzania.

BACKGROUND: Health Research Ethics Committees (HRECs) play a pivotal role in safeguarding research participants and ensuring ethical conduct. The rapi...

NIH Funding in Surgical Artificial Intelligence: Who, What, Where, Why.

Comparative Outcomes of a Pediatric Walking Rehabilitation Robot Combined With Repetitive Transcranial Magnetic Stimulation in Children With Spastic Cerebral Palsy: Protocol for a Prospective Observational Study.

BACKGROUND: Cerebral palsy (CP) is a prevalent neurodevelopmental disorder in children, often leading to long-term motor impairments. Rehabilitation r...

Evaluation of a Digital Intervention for Monitoring and Improving Medication Adherence Among Real-World e-Consumers of HIV Preexposure Prophylaxis in China: Protocol for a Randomized Controlled Trial.

BACKGROUND: Preexposure prophylaxis (PrEP) is a key biomedical HIV prevention strategy that relies heavily on adherence for optimal effectiveness. In ...

Effects of Telerehabilitation Based on Motion Recognition Technology on Exercise Endurance of Patients With Non-Small Cell Lung Cancer After Surgery: Single-Center, Prospective, Open-Label, Randomized Controlled Trial.

BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of primary pulmonary neoplasms. Complete surgical removal remains the co...

Decoding glioblastoma evolution and heterogeneity through mechanistic modeling: implications for clinical translation.

Glioblastoma (GBM) is one of the most aggressive and lethal primary brain tumors in adults, characterized by dynamic clonal evolution and extensive ge...

Natural Language Processing Improves Postoperative Discharge Instructions.

PURPOSE: To evaluate the readability, understandability, and actionability of current orthopaedic discharge instructions and assess the effectiveness ...

Unveiling tumor heterogeneity by single cell RNA-sequencing: from basic considerations to clinical applications.

Tumor heterogeneity-encompassing diverse cellular phenotypes, genomic alterations, and micro-environmental contexts-is a principal barrier to effectiv...

Cochlear aging after synaptopathic noise: age-noise interactions in hair cell loss and axonal degeneration.

Despite many studies of cochlear synaptic loss and/or recovery after acoustic injury, none has followed degeneration of auditory-nerve fiber (ANF) per...

A personalized view on how artificial intelligence will change the future of multidirectional cell therapy: From design and engineering foundation to some healthcare applications.

Artificial intelligence (AI) is becoming a central enabling technology for multidirectional cell therapy, regenerative medicine, and transplantation s...

What's happening? Editorial comment: Insights on artificial intelligence, cell therapy and stem cell transplantation safety.

From Restoration to Regeneration: A Review of 3D Printing Strategies in Digital Dentistry.

Three-dimensional (3D) printing technology, or additive manufacturing, has fundamentally transformed medical paradigms by shifting dentistry from trad...

Elucidating the pathway activity and prognostic significance of diverse regulatory cell death patterns in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a five-year survival rate below 10%. Regulatory cell death (RCD) plays ...