Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: Lung cancer poses a significant global health challenge. Adaptive radiotherapy (ART) add...
Gefitinib resistance (GR) presents a significant challenge in treating lung adenocarcinoma (LUAD), h...
BACKGROUND: Breast cancer (BC) is caused by the uncontrolled proliferation of breast epithelial cell...
Integrating diverse types of biological data is essential for a holistic understanding of cancer bio...
This paper aims to address the pressing issue of melanoma classification by leveraging advanced neur...
BACKGROUND: Alcohol drinking and gut microbiota are related to hepatocellular carcinoma (HCC), but t...
PURPOSE: This study aimed to develop and validate a model for accurately assessing the risk of dista...
RATIONALE AND OBJECTIVES: To develop and validate multiple machine learning predictive models incorp...
Supervised machine-learning (SML) algorithms are potentially powerful tools that may be used for scr...
The morphological diagnosis of thyroid gland neoplasms presents a dual challenge: it requires the ex...
Immune checkpoint inhibitors (ICIs) are revolutionizing cancer treatment, and Artificial Intelligenc...
Osteochondral interface consists of two tissues: the calcified cartilage (CC) containing chondrocyte...
Hepatocellular carcinoma (HCC) represents a significant health burden in Egypt, largely attributable...
Identifying new compounds with minimal side effects to enhance patients' quality of life is the ulti...
, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cance...
BACKGROUND: Lung adenocarcinoma (LUAD) is a heterogeneous tumor characterized by diverse genetic and...
Cancer immunotherapy has emerged as a novel clinical therapeutic option for a variety of solid tumor...
INTRODUCTION: Patient body composition (BC) has been shown to help predict clinical outcomes in rect...
PURPOSE: Extracting inclusion and exclusion criteria in a structured, automated fashion remains a ch...
Early detection and precise characterization of brain tumors play a crucial role in improving patien...
BACKGROUND: This study aims to develop habitat radiomic models to predict overall survival (OS) for ...