Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: The prediction of Epidermal Growth Factor Receptor (EGFR) mutation status in advanced lu...
OBJECTIVE: To evaluate the feasibility of cerebral computed tomography angiography (CTA) obtained wi...
Deep learning architectures are now widely applied in sleep electroencephalogram (EEG) analysis. The...
BACKGROUND/AIM: Chemotherapy with gemcitabine and cisplatin remains the cornerstone of treatment for...
Nodal lymphoma requires precise diagnosis and longitudinal monitoring. Ultrasound is now established...
BACKGROUND AND OBJECTIVE: Multi-class brain tumor classification from magnetic resonance imaging mus...
OBJECTIVE: To develop a deep learning model to differentiate benign from malignant adrenal lesions. ...
PURPOSE OF REVIEW: Cardiogenic shock (CS) remains associated with high mortality despite advances in...
Over the past two decades, experimental and clinical evidence has established the interleukin-23 (IL...
This critical review synthesizes the ethical, technical, and equity dilemmas emerging from the rapid...
OBJECTIVE: Identifying key nodes within multi-layer GRNs is crucial for uncovering potential biomark...
Pancreatic ductal adenocarcinoma (PDAC) is frequently preceded by new-onset diabetes mellitus (NODM)...
Targeted delivery of drugs and hyperthermia in cardiovascular disease demand the accurate delivery o...
Lung cancer persists as the predominant oncological cause of mortality globally, underscoring an imp...
The blood - brain barrier (BBB) plays a central role in maintaining central nervous system (CNS) hom...
BACKGROUND: Computed Tomography (CT) scans allow opportunistic evaluation of body composition. We in...
BACKGROUND: Ovarian cancer (OC) is a leading cause of female cancer mortality. Beyond genetic and re...
INTRODUCTION AND AIMS: Oral leukoplakia (OLK) is the most common oral potentially malignant disorder...
BACKGROUND: Cancer-related pain is a multidimensional phenomenon, and key determinants of pain inten...
PURPOSE: Circulating tumor fraction estimate (ctFE) is a machine learning-derived composite metric o...
The upregulation of interleukin-1 receptor-associated kinase 4 (IRAK4) drives pro-tumorigenic signal...