Latest AI and machine learning research in stem cell research for healthcare professionals.
The growing integration of artificial intelligence into healthcare is frequently associated with efforts to reduce uncertainty through prediction, data analysis, and computational decision support. Recent work on generative and foundation models has intensified this aspiration while also documenting new uncertainties involving model error, variable performance, opacity, bias, and the conditions of...
BackgroundRapid AI integration into healthcare necessitates proactive action to leverage benefits and reduce risks to clients and occupational therapy. Research on AI integration in occupational therapy shows promising outcomes.ObjectiveThis study assessed knowledge, use, and attitudes regarding AI in occupational therapy worldwide to inform development of guidance documents and resources for futu...
BACKGROUND: The poor prognosis of cholangiocarcinoma (CCA) is largely driven by rapid, asymptomatic disease progression, which usually results in a la...
ETHNOPHARMACOLOGICAL RELEVANCE: Baiyaozi, the dried tuberous root of Stephania cepharantha Hayata, has long been used in traditional Chinese medicine ...
Tumor immunotherapy has emerged as a transformative strategy for cancer treatment. However, its clinical efficacy remains limited by the immunosuppres...
Klebsiella pneumoniae (KP) has emerged as a formidable nosocomial pathogen in the era of antimicrobial resistance, with mortality from pneumonia cause...
BACKGROUND: Research funding is a crucial driver of healthcare innovation and improved patient outcomes. However, the peer-review process utilised dur...
Federal research funding shapes the direction, diversity, and impact of the US scientific enterprise. Large language models (LLMs) are rapidly diffusi...
Global health in radiology has expanded substantially over the past 2 decades. However, much of the field continues to be described through the langua...
INTRODUCTION: The chicken chorioallantoic membrane (CAM) is a widely used in vivo model for studying angiogenesis and tumor growth in accordance with ...
Distinguishing active tuberculosis (ATB) from the post-therapy state remains a key challenge in disease monitoring, as host-response signatures are of...
Endocrine therapies initially enforce lineage identity in hormone-driven cancers, yet sustained hormonal suppression often triggers a coordinated syst...
Manufacturing scalability and cost efficiency of Lentiviral vector (LV) production for gene therapy are hampered by slow offline detection of critical...
BACKGROUND: Colorectal cancer is the third most common and second deadliest cancer in the USA, but cases and deaths are preventable through appropriat...
Osteoporosis-induced bone defects represent a severe clinical challenge that requires high-performance bone repair biomaterials. To address the limite...
INTRODUCTION: Quantitative assessment of the pathologic response (pR) in the eyeball approach remains challenging. Few studies have clearly defined vi...
INTRODUCTION: Oral capsules for gastric submucosal delivery represent a fundamentally new route of administration for biologics, which are currently l...
INTRODUCTION: Atrial fibrillation (AF), a common arrhythmia, is associated with impaired quality of life and increased stroke risk and mortality. Clin...
BACKGROUND: Anti-tumor necrosis factor (TNF) medical therapy is a major advancement for Crohn's disease (CD) management, yet many patients fail to res...
Advances in data science and medical artificial intelligence (AI) raise complex philosophical and ethical quandaries about what it means to know a per...