Latest AI and machine learning research in other cancers for healthcare professionals.
As a class of enzymes, esterases have been investigated for decades and have found use in industrial...
The surgical treatment of horseshoe kidney (HSK) remains a huge challenge because of the complex an...
With the remarkable success of representation learning for prediction problems, we have witnessed a ...
Accurate cancer detection and diagnosis is of utmost importance for reliable drug-response predictio...
Conventional deep learning (DL) algorithm requires full supervision of annotating the region of inte...
Photodynamic (PDT) and photothermal therapies (PTT) are emerging treatments for tumour ablation. Org...
OBJECTIVES: To evaluate CT-derived radiomics for machine learning-based classification of thymic epi...
BACKGROUND: Increasing evidence suggests the immunomodulatory potential of genes in oncology. But th...
Female accounts for approximately 50% of the total population worldwide and many of them had breast ...
To accelerate cancer research that correlates biomarkers with clinical endpoints, methods are needed...
PURPOSE: Computational approaches have been used at different stages of drug development with the pu...
Histological stratification in metastatic non-small cell lung cancer (NSCLC) is essential to properl...
Detection of somatic mutation in whole-exome sequencing data can help elucidate the mechanism of tum...
Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-related d...
Computational approaches including machine learning, deep learning, and artificial intelligence are ...
Survival prediction is highly valued in end-of-life care clinical practice, and patient performance ...
Recently, tumor immunotherapy based on immune checkpoint inhibitors (ICI) has been introduced and wi...
Clustering tumor metastasis samples from gene expression data at the whole genome level remains an a...
Breast cancer is the most common invasive cancer with the highest cancer occurrence in females. Hand...
BACKGROUND: Deep learning (DL) has been used on medical images to grade, differentiate, and predict ...
Positron emission tomography-computed tomography (PET-CT) is regarded as the imaging modality of cho...