Latest AI and machine learning research in stem cell research for healthcare professionals.
Secondary use is now the ordinary condition of data science health research rather than an exception to it. Electronic health records collected for clinical care become prediction tools and inputs for generative AI; imaging archives become foundation-model corpora; genomic datasets become resources for polygenic risk scores; and legacy biospecimens become renewable, indefinitely distributable cell...
BACKGROUND: Parent management training (PMT) is an evidence-based intervention for addressing child behavioral difficulties; however, caregivers often need additional guidance when implementing skills in daily life. Pat is an AI conversational agent designed to augment a therapist-led PMT program by providing caregivers with real-time guidance, reinforcement, and answers to parenting questions bet...
Frontotemporal dementia is commonly caused by loss-of-function mutations in the progranulin gene. Potential therapies for this disorder have entered c...
BACKGROUND: Multiple sclerosis (MS) is increasingly recognised as a disorder of large-scale brain network reorganisation rather than a disease explain...
Antimicrobial resistance (AMR) represents one of the most pressing threats to global public health, undermining the effectiveness of modern antimicrob...
Reducing the global burden of disease is crucial for improving health outcomes. However, misalignment between health aid and country-level disease bur...
Immune checkpoint inhibitors (ICIs) have substantially improved clinical outcomes across multiple malignancies, but they can disrupt self-tolerance an...
Traditional research ethics governance was designed for bounded protocols, identifiable investigators, and temporally limited encounters with human pa...
BackgroundArtificial intelligence (AI) is increasingly integrated into healthcare and health-professions education. While it may improve efficiency, d...
BACKGROUND: Chronic kidney disease (CKD) is projected to become one of the leading causes of premature mortality worldwide by 2050. Simultaneously, ad...
OBJECTIVES: To compare the ability of different machine learning models to predict the risk of side effects in patients with breast cancer undergoing ...
INTRODUCTION: Oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) present a remarkable public health challenge worldw...
Sublingual hematoma is a rare but life-threatening condition with heterogeneous etiologies that complicate emergency decision-making. This study compa...
Somatic mechanical stimulation (e.g., acupuncture) exerts systemic immunomodulatory effects, yet the cellular bridge translating peripheral physical f...
BACKGROUND: Early cancer diagnosis in patients with non-specific symptoms is limited by the lack of discriminatory tests. Within the Oxfordshire Suspe...
Regulatory bodies play a central role in providing guidance that enables safe and effective use of artificial intelligence tools in medicine developme...
BACKGROUND: Crisis helplines are a vital component of a robust public health approach to suicide prevention as they are often free, accessible, and pr...
OBJECTIVE: Stress and obesity are major health concerns affecting individuals worldwide. Artificial Intelligence (AI) is being designed to identify an...
INTRODUCTION: Peyronie's disease (PD) and erectile dysfunction (ED) are prevalent and frequently coexisting male sexual disorders that share endotheli...
BACKGROUND: Liver enzyme biomarkers are known to contribute to the onset and progression of colorectal cancer. OBJECTIVE: To develop a novel oxidative...