Latest AI and machine learning research in other cancers for healthcare professionals.
This work introduces a hybrid computational approach in which degree-based topological descriptors a...
Colorectal cancer (CRC) treatment remains challenging due to genetic heterogeneity and resistance me...
Topoisomerase I (TOP I) plays a vital role in maintaining genomic stability and regulating cellular ...
Sepsis, marked by hyperinflammation and subsequent immunosuppression, lacks effective phase-specific...
BACKGROUND: Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer. Alt...
Dendritic cells (DCs) are pivotal orchestrators of anti-tumor immunity. DC-based anti-tumor treatmen...
A subset of cancers presents with unclear or potentially incorrect primary histopathologic diagnoses...
Resistance is inevitable and a major challenge in treating Lung adenocarcinoma (LUAD) patients with ...
Clinical drivers for real-time head and neck (H&N) tumor tracking during radiation therapy (RT) are ...
BACKGROUND: This study aimed to develop and validate a multi-temporal magnetic resonance imaging (MR...
BACKGROUND: The incidence of Gastrointestinal Neoplasms (GI neoplasms) continues to increase globall...
We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukoc...
Non-small cell lung cancer (NSCLC) is one of the deadliest and most prevalent cancers worldwide, wit...
Reliability in diagnosing and treating brain tumors depends on the accurate grading of histopatholog...
Glioblastoma multiforme (GBM) is the most aggressive type of brain cancer, making effective treatmen...
The purpose of this study was to create and validate an ultrasound-based graph convolutional network...
Artificial intelligence (AI) tools for health care applications are rapidly emerging. Some AI-based...
Pancreatic cystic lesions are widely recognized as harbingers of pancreatic cancer. Intraductal papi...
OBJECTIVE: Cytologic examination, which confirms the presence or absence of malignant cells, detects...
BACKGROUND: Deep learning (DL) demonstrates high sensitivity but low specificity in lung cancer (LC)...
OBJECTIVE: To develop and validate a predictive model for distinguishing benign and malignant renal ...