Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Lung adenocarcinoma (LUAD), the most common lung cancer subtype, exhibits a poor prognosis. Although mitotic catastrophe can be induced in LUAD, leading to cell death, the prognostic and biological significance of mitotic catastrophe-related genes (MCRGs) in this disease remains unclear. Differentially expressed genes (DEGs) associated with LUAD were screened from the TCGA-LUAD cohort, and overlap...
Brain tumors are considered one of the deadliest diseases in the world, and misdiagnosing them puts patients' lives in danger and lowers the survival rate. Magnetic resonance imaging (MRI) with deep learning-based techniques, especially convolutional neural networks, is crucial for overcoming this obstacle, as it enables a more detailed examination of the brain's internal structure and offers outs...
BACKGROUND: Programmed death-ligand 1 (PD-L1) expression and CD8-positive (CD8+) T-cell infiltration in tumor tissue are associated with prognosis in ...
BACKGROUND: The clinical outcomes of diffuse large B-cell lymphoma (DLBCL) are highly heterogeneous. While clinical indices like the international pro...
The laminar nature of blood flow and the resulting boundary layer pose substantial challenges for transverse mass transport in blood vessels, limiting...
BACKGROUND: Palliative care is increasingly recognized as essential for an aging population and rising life-limiting illnesses. Machine learning (ML) ...
BACKGROUND: Nottingham histological grading is central to breast cancer prognosis and treatment planning, but conventional pathological assessment is ...
INTRODUCTION: Average glandular dose (Dg) is the primary metric for assessing radiation risk in screening mammography. Although Dg analysis is commonl...
BACKGROUND: The PD-L1 combined positive score (CPS) is a biomarker predicting responses in gastric cancer (GC) immunotherapy. OBJECTIVES: We aimed to ...
BACKGROUND: Heterogeneity in cancer-associated fibroblast (CAF) infiltration within the tumor microenvironment is closely associated with gastric canc...
Oxidative stress is a pathological driver of cardiovascular-kidney-metabolic (CKM) syndrome, exacerbating inflammation and tissue injury, while metabo...
Sex steroid hormones, including estradiol (E2), estrone (E1), follicle-stimulating hormone (FSH), and luteinizing hormone (LH), have been implicated i...
Triple-negative breast cancer (TNBC) represents one of the most aggressive and therapeutically challenging subtypes of breast cancer, characterized by...
RNA splicing expands the functional output of eukaryotic genomes by enabling individual precursor messenger RNA (pre-mRNA) to generate multiple mature...
BACKGROUNDS/AIMS: To compare the prognostic value of fully automated volumetric versus single-slice computed tomography (CT)-derived body composition ...
BACKGROUND: This study aimed to develop a single-photon emission computed tomography/computed tomography (SPECT/CT)-based radiomics model using bone m...
Yu Xue: [email protected] Large-scale multiomics profiling has delineated dynamic molecular landscapes during autophagy, yet translating these complex...
Early identification of individuals at risk of developing psychosis enables timely intervention and better clinical outcomes. Current approach relies ...
Immunotherapies such as chimeric antigen receptor T cell (CAR-T) therapy and immune checkpoint inhibitors have improved cancer survival but are associ...
Identifying the origin of brain metastases (BM) is essential for personalized treatment, particularly in patients with carcinoma of unknown primary or...