Latest AI and machine learning research in oncology/hematology for healthcare professionals.
AIM: This study aimed to develop highly precise radiomics and deep learning models to accurately det...
Image-based deep learning models are used to extract new information from standard hematoxylin and e...
CONTEXT: Computational modeling involves the use of computer simulations and models to study and und...
Clinical trials involving systemic neoadjuvant treatments in breast cancer aim to shrink tumors befo...
OBJECTIVE: This study aimed to explore the potential predictive value of oral microbial signatures f...
Anticancer peptides (ACPs) are a type of protein molecule that has anti-cancer activity and can inhi...
Electroencephalogram (EEG) plays an important role in studying brain function and human cognitive pe...
Monitoring drug efficacy is significant in the current concept of companion diagnostics in metastati...
Metabolomics generates complex data necessitating advanced computational methods for generating biol...
Accurate diagnosis and prognosis prediction are conducive to early intervention and improvement of m...
Spatial transcriptomics (ST) provides insights into the tumor microenvironment (TME), which is close...
Non-small cell lung cancer (NSCLC) is the most common histopathological type, and it is purposeful f...
We aimed to investigate the effects of F-FDG PET voxel intensity normalization on radiomic features ...
BACKGROUND: Although separate analysis of individual factor can somewhat improve the prognostic perf...
BACKGROUND: Occult peritoneal metastases (OPM) in patients with pancreatic ductal adenocarcinoma (PD...
BACKGROUND: Identification of patients with high-risk of experiencing inability to walk after surger...
OBJECTIVES: The authors aimed to assess the performance of a deep learning (DL) model, based on a co...
BACKGROUND: This study aims to identify precise biomarkers for breast cancer to improve patient outc...
Bone metastasis, emerging oncological therapies, and osteoporosis represent some of the distinct cli...
The cited article reports on a convolutional neural network trained to predict response to neoadjuva...
Magnetic Resonance Imaging (MRI) is an important diagnostic technique for brain tumors due to its ab...