Latest AI and machine learning research in stem cell research for healthcare professionals.
Spatial transcriptomics enables the systematic exploration of how gene expression patterns are organized within intact tissues, yet effective analysis remains difficult due to the complexity of spatial dependencies and multi-scale tissue architectures. Here, we present the Spatial Graph Frequency Network (SGFN), a deep learning framework that integrates graph signal processing, graph attention, an...
Tumor vasculature has traditionally been viewed as structurally and functionally abnormal and, therefore, is primarily targeted for inhibition. However, emerging evidence from vascular biology, regenerative medicine, and bioengineering challenges this paradigm, demonstrating that blood vessels actively instruct and shape the tumor microenvironment. Here, we propose that tumor vasculature functions...
The rapid emergence of multidrug-resistant (MDR) bacteria has increased interest in bacteriophage therapy as a promising alternative to conventional a...
Diabetic foot ulcer (DFU) is a severe complication of diabetes, characterized by chronic inflammation and impaired healing. Although cellular and immu...
BACKGROUND: The combination of immune checkpoint inhibitors (ICIs) and anti-angiogenic agents represents the standard first-line therapy for patients ...
BACKGROUND: The diagnosis and monitoring of Alzheimer disease (AD) currently rely on clinician-administered, in-person, and cross-sectional pen-and-pa...
BACKGROUND: Clinical triage requires integrating multiple information sources to identify patients at risk of deterioration. Tools capturing global he...
BACKGROUND: Knowledge Translation (KT) research investigates methods to promote the uptake of research by practitioners, managers and policy-makers. R...
BACKGROUND: Colorectal cancer (CRC) is one of the most common malignancies worldwide and remains a major clinical challenge, underscoring the urgent n...
Tumor heterogeneity remains a major barrier to effective cancer therapy, driving the need for novel biomarkers and targeted strategies. A bibliometric...
BACKGROUND: Bronchopulmonary dysplasia (BPD) remains a major complication of extreme prematurity, but diagnosis and severity classification have becom...
Stem cell differentiation is central to development and regenerative medicine, but the complex underlying processes hinder our ability to control it e...
BACKGROUND: Progeroid laminopathies (PLs), including Hutchinson-Gilford progeria syndrome (HGPS), are rare premature aging disorders in which cardiova...
OBJECTIVES: We examine how hospital characteristics relate to clinical and operational artificial intelligence (AI) adoption and implementation stages...
INTRODUCTION: Artificial intelligence (AI) is increasingly used in tuberculosis (TB) diagnosis, but its clinical adoption depends not only on accuracy...
The increasing use of online methods in qualitative research, alongside the growing availability of artificial intelligence tools, has raised concerns...
IMPORTANCE: Understanding how upper extremity (UE) robotic therapy (RT) affects efficiency and effectiveness of inpatient rehabilitation is important ...
FUNDING: Funding (NIH #1OT2OD037972-01). OBJECTIVE: Artificial intelligence (AI) may enhance the efficiency and personalization of breast cancer (BC) ...
The increasing global burden of cancer necessitates innovative therapeutic strategies. Cell therapy represents a major breakthrough in oncology, evolv...
Citizen science plays an increasingly important role in generating scientific knowledge and supporting environmental and social action. However, its p...