Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Idiopathic pulmonary fibrosis (IPF) is a chronic interstitial lung disease with a poor prognosis. It...
In recent years, tumors have emerged as a major global health threat. An increasing number of studie...
Artificial intelligence (AI) has significantly impacted various fields, including oncology. This com...
INTRODUCTION: Lung cancer is one of the main causes of the rising death rate among the expanding pop...
BACKGROUND: A newly generic microspheres, sustained-release formulation of triptorelin acetate 3.75 ...
Glioblastoma multiforme (GBM) is the most prevalent malignant brain tumor, with an average survival ...
Tumour content plays a pivotal role in directing the bioinformatic analysis of molecular profiles su...
CD4 T cells play a pivotal role in the immune system, particularly in adaptive immunity, by orchestr...
BACKGROUND: Hand hygiene is a critical component of infection prevention in healthcare settings. Inn...
BACKGROUND: Existing biomarkers and models for predicting response to programmed cell death protein ...
PURPOSE: Chemotherapy dose-limiting toxicities (DLT) pose a significant challenge in successful colo...
BACKGROUND: Evaluating risk factors for bleeding events in robot-assisted partial nephrectomy (RAPN)...
OBJECTIVES: Muscle loss after radiotherapy is associated with poorer survival in patients with oral ...
BACKGROUND: Definitive chemoradiation is the primary treatment for locally advanced head and neck ca...
BACKGROUND & AIMS: Various hepatocellular carcinoma (HCC) prediction models have been proposed for p...
Despite the excellent advantages of biomicrorobots, such as autonomous navigation and targeting actu...
OBJECTIVE: Breast ultrasound (BUS) is used to classify benign and malignant breast tumors, and its a...
OBJECTIVE: The prognostic significance of body composition phenotypes for survival in patients under...
Liquid biopsy (LB) involves the analysis of circulating tumour-derived DNA (ctDNA), providing a mini...
OBJECTIVE: This study aims to establish a new prognostic index using machine learning models to pred...
BACKGROUND: Traditional rule-based natural language processing approaches in electronic health recor...