Latest AI and machine learning research in stem cell research for healthcare professionals.
BACKGROUND Approximately 70% to 84% of patients with spinal cord injury (SCI) have varying degrees of bladder dysfunction, which can lead to upper urinary tract complications. Urodynamics is the standard method for evaluating bladder function after SCI. The effect of robot-assisted gait therapy (RAGT) on urinary function is rarely reported in the literature. The aim of this study was to evaluate t...
INTRODUCTION: Persistent postsurgical pain (PPSP) affects up to 15% of patients after major surgery, impairing physical function, quality of life and increasing risk for long-term opioid use. Current PPSP prediction models rely on static or retrospective data and fail to incorporate dynamic perioperative factors. The Personalised Prediction of Persistent Postsurgical Pain (P5) study aims to develo...
INTRODUCTION: Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, an...
BACKGROUND AIMS: The scalable manufacturing of cell therapies creates a significant need for robust process analytical technologies, where automated a...
For the discovery and optimization of personalized cancer treatments using immune cell therapeutics, such as T-cell receptor (TCR-T) therapy and bispe...
BACKGROUND: Metabolomics is a valuable tool for characterising biological mechanisms involved in cancer development, but produces complex datasets wit...
BACKGROUND AND AIMS: Liver fibrosis poses a major health threat globally, with an acute shortage of effective treatments to stop or reverse its progre...
STUDY QUESTION: Can precise trajectory smoothing improve extraction of sperm motility features, and can deep learning on raw trajectory data enable ac...
Autologous stem-cell transplantation is a fundamental therapy for multiple myeloma. Although inpatient chemo-based stem-cell mobilization (SCM) is sta...
Articular cartilage is crucial for joint function; however, it has limited regenerative capacity when damaged, a hallmark of many rheumatic diseases. ...
Artificial intelligence is increasingly used in psychiatric research, yet progress in clinical use and equitable benefit remains uneven. We analyzed 2...
The integration of robotics and artificial intelligence (AI) into nanomedicine represents a significant advancement in developing targeted therapeutic...
OBJECTIVE: To assess the feasibility of using large language models (LLMs) to develop research questions about changes to the Special Supplemental Nut...
IMPORTANCE: Ethical and bioethical issues are central to the identity and practice of physical therapy. A comprehensive overview of how these issues a...
Links between the eye and the central nervous system (CNS) have been recognized since the origins of the ophthalmoscope. Owing to the elegant topograp...
INTRODUCTION: Within the UK there are 33 deaths every day from prostate cancer, second only to lung cancer as the most common cause of cancer death in...
Doxorubicin (Dox)-induced cardiotoxicity remains a critical barrier to optimizing breast cancer (BC) treatment, highlighting the urgent need to dissec...
Dyslexia, impacting children's reading skills, prompts families to seek cost-effective neurofeedback therapy solutions. Utilising machine learning, we...
OBJECTIVE: Dosiomics and radiomics elaborate the low-and high-order features extracted from images to predict clinical outcomes. Whole-brain radiother...
This review examines current approaches to ethics education in neonatal-perinatal medicine (NPM), integrating adult learning theory, diverse teaching ...