Latest AI and machine learning research in oncology/hematology for healthcare professionals.
INTRODUCTION: Gastrointestinal (GI) cancers account for a quarter of all cancers and one-third of ca...
Predicting lung cancer risk would enhance prevention trials. Although the Canakinumab Anti-inflammat...
AIM: The traditional three-level H&E sectioning protocol for prostate biopsies was developed for ult...
Breast cancer is the most common cancer among women, and its incidence is increasing, particularly i...
Hepatocellular carcinoma (HCC) remains one of the most critical global health challenges, particular...
Hepatitis B virus-associated hepatocellular carcinoma (HBV-HCC) is a heterogeneous malignancy with p...
Organoids have become mainstay tools for drug discovery and personalized medicine. High-throughput i...
BACKGROUND: Neoadjuvant treatment response in rectal cancer is highly heterogeneous, complicating pa...
Spatial transcriptomics (ST) is a powerful assay for capturing gene expression in tissues. However, ...
The potential contribution of foodborne pesticide residues to colorectal cancer (CRC) remains insuff...
AIM: Steatotic liver disease (SLD) encompasses a heterogeneous spectrum with varying risks of hepato...
Exhaled breath condensate (EBC) has emerged as a noninvasive liquid biopsy medium that captures aero...
Breast cancer (BC) is the most frequently diagnosed malignancy and the leading cause of cancer-relat...
Purpose To evaluate the pooled diagnostic accuracy of externally tested AI models for malignancy cla...
The landscape of asthma management is undergoing significant transformation. This change is driven b...
The objective of the study is to develop and validate a multiparametric MRI (mpMRI)-based model that...
Accurate preoperative assessment of CT-occult peritoneal metastasis (PM) in colorectal cancer is cri...
Contrast-enhanced computed tomography (CECT) of the abdomen and pelvis is widely used for diagnostic...
INTRODUCTION: Breast cancer remains the most prevalent malignancy among women worldwide, with its pr...
Single-cell RNA sequencing (scRNA-seq) enables high-resolution profiling of cellular heterogeneity, ...
INTRODUCTION: The survival rate of patients with life-threatening diseases primarily depends on the ...