Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: Despite a global decline in the incidence of gastric cancer (GC), the number of cases diagnosed among younger individuals continues to increase. Several studies have been conducted to develop predictive models of mortality in patients with GC. OBJECTIVE: We developed 3- and 5-year survival prediction models for young patients with GC based on machine learning-based survival modeling ap...
Obesity, historically defined by body mass index and waist circumference, is a major risk factor for cardiometabolic complications; however, these indicators do not capture the phenotypic heterogeneity or the underlying pathophysiology. Adipose dysfunction, characterized by hypertrophy, chronic inflammation, and ectopic lipid deposition, promotes insulin resistance, lipotoxicity, and vascular abno...
INTRODUCTION: Chronic obstructive pulmonary disease (COPD) has an unpredictable clinical course, causing difficulties in short-term mortality predicti...
Esophageal squamous cell carcinoma (ESCC) is an aggressive malignancy with limited targeted treatment options and poor clinical outcomes. We developed...
Rapid and accurate localization and activity grading of Crohn's disease (CD) lesions on computed tomography enterography (CTE) images enhance the diag...
A major challenge in single-cell RNA sequencing (scRNA-seq) analysis is recovering biologically meaningful cell ontology trees and conserved gene modu...
Flow cytometry (FC) is essential for detecting measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL), but its use is limited by the ...
The global burden of renal cell carcinoma (RCC) has risen substantially over the past three decades, while mortality rates have remained largely stabl...
BACKGROUND: Non-invasive biomarkers offer potential to improve risk stratification and early diagnosis of lung cancer, complementing low-dose computed...
INTRODUCTION: Readily available predictive biomarkers for immune checkpoint inhibitor (ICI) response in advanced melanoma are limited. This study eval...
BACKGROUND: Accurate preoperative staging in colorectal cancer (CRC) is critical for determining the appropriate treatment strategy. This study evalua...
PURPOSE: 18Â F-FDG PET/CT is the standard modality for monitoring treatment response in metastatic breast cancer. This study aims to evaluate the predi...
BACKGROUND: Gemcitabine is an important chemotherapeutic agent that suffers from poor bioavailability and drug resistance. Although the nanocomposite ...
BACKGROUND: Colorectal cancer (CRC) is a leading cause of mortality worldwide, and early examination via colonoscopy is increasingly used to prevent C...
Pathologists diagnose and grade prostate cancer using thin two-dimensional (2D) histological sections, but these 3-5 micron sections are too thin to v...
BACKGROUND: The global incidence of early-onset hepatocellular carcinoma (eHCC) is increasing significantly; however, specific risk prediction tools f...
Digital assays are in wide development for biomarker quantification at the single-molecule level, but the common use of surface pull-down steps limits...
The development of deep learning (DL) methods in biology holds great promise for fundamental knowledge, biomedicine, and agriculture. The most global ...
PURPOSE: Artificial intelligence (AI)-enabled digital pathology has advanced rapidly in head and neck squamous cell carcinoma (HNSCC), but its readine...
PURPOSE: To evaluate whether standalone synthesized mammography (SM) can maintain or improve diagnostic accuracy while reducing reading time and radia...