Latest AI and machine learning research in stem cell research for healthcare professionals.
BACKGROUND: The rapid integration of artificial intelligence (AI) in clinical settings presents unprecedented opportunities, yet it concurrently triggers significant challenges, including ethical dilemmas, technology-induced anxiety, and care quality. Although clinical nurses are the primary users of healthcare AI, their literacy levels and cognitive profiles remain largely unexplored. This knowle...
The aim of this study is to comprehensively examine the evolution of artificial intelligence (AI), specifically large language models (LLMs), in the field of endodontics under the headings of clinical decision support systems, trauma management, regenerative treatments, patient education, and academic performance. This scoping review was conducted in accordance with the PRISMA-ScR guidelines. A se...
Pharmacogenomics (PGx) is transforming how we treat cardiovascular disease (CVD) by enabling us to select and dose drugs based on our genetic profiles...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), is a preval...
With the growth of electric vehicles, non-exhaust PM10 is becoming the dominant contributor to vehicle-related particulate pollution and a source of e...
RATIONALE AND OBJECTIVES: Histotripsy is a noninvasive ultrasound therapy that mechanically disrupts target tissue through controlled acoustic cavitat...
Advances in spatially resolved technologies enable the simultaneous acquisition of diverse data modalities within a tissue slice while preserving crit...
During zebrafish embryonic body elongation, differentiation of mesodermal progenitors into presomitic mesoderm requires the transcription factors tbx1...
BACKGROUND: Morphological changes of abdominal organs in hepatocellular carcinoma (HCC) remain uncharacterized. This study aimed to automatically quan...
Risk decision-making has evolved from a vernacular focused on risk assessment and management to fully integrated approaches designed to inform risk ac...
INTRODUCTION: Chronic musculoskeletal pain (CMP) is a leading cause of incurred personal healthcare costs and disability in the USA. It disproportiona...
PURPOSE: AI governance commonly emphasises procurement, validation, deployment and performance monitoring but lack guidance on how embedded AI tools s...
BACKGROUND: Ovarian cancer, particularly high-grade serous ovarian cancer (HGSOC), is the most lethal gynecological malignancy, mainly due to late-sta...
The field of academic medicine, through its tripartite mission, has for decades driven scientific achievement, translated biomedical research into imp...
INTRODUCTION: Evidence guiding the optimal sequencing of later-line systemic therapy in advanced soft tissue sarcoma (STS) remains limited. The aim of...
BACKGROUND: The introduction of genomic profiling as a tool for molecular classification and clinical outcome prediction has revolutionised the care o...
BACKGROUND: While generative artificial intelligence (AI) is rapidly proliferating in healthcare research and clinical settings, there is a lack of ac...
The 21st Royan International Stem Cell Congress (3-5 September 2025, Tehran, Iran) convened the global stem cell community to assess the accelerating ...
Glioblastoma multiforme (GBM) is the most common and aggressive primary malignant brain tumor. Despite combined treatments, including surgical removal...
BACKGROUND: Interstitial pulmonary fibrosis remains a progressive, fatal lung disease with a median survival of approximately 4-5 years in contemporar...