Latest AI and machine learning research in oncology/hematology for healthcare professionals.
PURPOSE: While an association between trastuzumab emtansine (T-DM1) and development of portal hypert...
Gastric cancer and diabetes are two major global health challenges, and recent studies have indicate...
INTRODUCTION: Colorectal cancer (CRC) is the third most diagnosed cancer worldwide. Only invasive sc...
BACKGROUND: Metabolic reprogramming, particularly enhanced aerobic glycolysis, is a hallmark of colo...
BACKGROUND: Papillary thyroid carcinoma (PTC) may overlap microscopically with Hashimoto thyroiditis...
Decision aids are tools that can reduce decisional conflict and enhance patient satisfaction in the ...
Skin cutaneous melanoma (SKCM) is the third most common cause of cancer-related deaths globally. Tod...
Clinical oncology faces a critical technological bottleneck driven by the rapid emergence of therapy...
Microfluidic impedance cytometry (MIC) is a critical technology for high-throughput single-cell anal...
BACKGROUND: Breast cancer-related lymphedema (BCRL) impairs quality of life and function, and early ...
Over the past 5 decades, small cell lung cancer (SCLC) has persisted as one of the most formidable m...
This study introduces a multi-band metasurface absorber, optimized for high-sensitivity detection of...
Accurate thermo-fluid modeling in rotating systems is essential for the design and optimization of a...
PURPOSE: Optimal treatment for synchronous brain metastases at lung cancer diagnosis depends on subt...
OBJECTIVE: We developed and validated radiomics models for lung cancer prediction in indeterminate p...
PURPOSE: To explore the ability of a radiomics-based classification model of identifying anterior se...
BACKGROUND: Oral and esophageal squamous cell carcinomas (OSCC/ESCC) are commonly diagnosed late sin...
BACKGROUND: Progression-free survival (PFS) is a critical end point in oncology, yet real-world appl...
Merkel cell carcinoma (MCC) is a rare, aggressive neuroendocrine cutaneous malignancy that can arise...
OBJECTIVE: Quantitative magnetic resonance imaging (qMRI) can noninvasively acquire parametric maps,...
PURPOSE: To develop a serum proteomic-based prognostic model for predicting surgical outcomes in BCL...