Latest AI and machine learning research in transplantation for healthcare professionals.
Histopathological whole slide images (WSIs) provide critical information for disease diagnosis, yet their interpretation remains a time-consuming and expertise-dependent process. Recent advances in deep learning have shown promise in automating and improving histopathological analysis; however, the performance of convolutional neural networks (CNNs) and Vision Transformers (ViTs) across multi-orga...
BACKGROUND: Neoadjuvant treatment response in rectal cancer is highly heterogeneous, complicating patient selection for organ-preservation strategies. Robust biomarkers capable of accurately predicting treatment response are needed to improve personalized treatment decisions. METHODS: We conducted a narrative review of studies published since 2015 evaluating predictors of response to neoadjuvant t...
In recent years, artificial intelligence in medicine has evolved from single recognition tasks toward structural understanding, spatial reasoning, and...
Multiple sclerosis (MS) is a complex neurological disorder with inflammation, demyelination, and neurodegeneration in the CNS. Disease-modifying thera...
INTRODUCTION: Hospitalized patients with heart failure (HF) frequently receive multiple high-risk intravenous (IV) medications, placing them at a subs...
BackgroundSystemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by heterogeneous clinical manifestations and multi-organ in...
INTRODUCTION: High-quality radiographic positioning is essential for accurate diagnosis in knee imaging. Although artificial intelligence (AI) can ass...
BACKGROUND: The role of cytoreductive nephrectomy (CN) in metastatic papillary renal cell carcinoma (pRCC) remains poorly defined, as most CN evidence...
Spinal cord injury remains difficult to treat because of the intrinsically limited regenerative capacity of neurons. Although neural progenitor cell (...
BACKGROUND: The low positive predictive value of HLA-B∗15:02 and HLA-B∗58:01 for risk stratification of carbamazepine (CBZ) and allopurinol (ALLO) ind...
BACKGROUND: End-stage renal disease (ESRD) is a severe chronic renal disorder with high mortality, requiring dialysis treatment or kidney transplantat...
This review explores the application and limitations of ultrasound elastography (USE) in the pediatric population, addressing its diagnostic value acr...
The heterogeneity and immunosuppressive characteristics of the tumor microenvironment present significant challenges to traditional treatment strategi...
INTRODUCTION: Adverse drug reactions remain a major barrier to drug development, with hepatotoxicity representing a persistent cause of clinical failu...
Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, with therapeutic efficacy often hindered by late-stage diagnosis, c...
Single-walled carbon nanotubes (SWCNTs) act as one-dimensional (1D) nanoreactors capable of stabilizing reactive species and unique low-dimensional ph...
Mechanistic studies of liquid-liquid phase separation (LLPS) have increasingly revealed that cells achieve multiscale and highly precise regulation of...
This clinical review details the current approach for the detection and management of perihilar cholangiocarcinoma in patients with primary sclerosing...
Physiologically relevant liver models are essential for advancing hepatic disorder research, especially for disease modeling and drug development, yet...
BACKGROUND: The rising co-occurrence of cardiometabolic diseases and musculoskeletal degeneration poses a critical challenge to healthy aging, yet the...