Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The cancer stem cell (CSC) paradigm represents one of the most prominent breakthroughs of the last decades in tumor biology. CSCs are that subpopulation within a tumor that can survive conventional therapies and as a consequence are able to fuel tumor recurrence. Nevertheless, the biological characteristics of CSCs and even their existence, remain the main topic among tumor biologists debates. The difficulty in achieving a better definition of CSC biology may actually be explained by the plasticity of such a cell subpopulation. Indeed, the emerging view is that CSCs represent a dynamic “state” of tumor cells that can acquire stemness-related properties under specific circumstances, rather than referring to a well-defined group of cells. Regardless of their origin, it is clear that designing novel antitumor treatments based on the eradication of CSCs will only be possible upon unraveling the biological mechanisms that underlie their pathogenic role in tumor progression and therapy resistance. The Special Issue on “New aspects of cancer stem cell biology: implications for innovative therapies” aims at highlighting recent insights into CSC features that can make them an attractive target for novel therapeutic strategies.

Cadherin 11 --- WNT signaling --- β-catenin --- cancer stem cells --- TNBC --- early breast cancer --- bevacizumab --- neoadjuvant chemotherapy --- ALDH1 --- solid cancer --- chemo-resistance --- HDAC inhibitors --- head and neck squamous cell carcinoma --- SRC --- dasatinib --- saracatinib --- EC-8042 --- Ovarian cancer --- Wnt signaling --- tumor progression --- therapy resistance --- exosomes --- oral cancer risk --- oral epithelial dysplasia --- SOX2 --- immunohistochemistry --- oral squamous cell carcinoma --- genome-wide --- transcriptome --- lung cancer --- ATAC-seq --- RNA-seq --- CSCs --- NSCLC --- B4GALT1 --- LUAD --- breast cancer --- lipid --- metabolism --- therapeutic resistance --- bowel cancer --- organoid --- tumoroid --- colorectal --- colon --- stem cell --- chemotherapy resistance --- ovarian cancer --- cancer stem cell --- genetic heterogeneity --- SNP array --- L1CAM --- chemoresistance --- epithelial-mesenchymal transition --- cancer therapy --- cell adhesion molecule

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This Special Issue is intended to lay the foundation of AI applications focusing on oral health, including general dentistry, periodontology, implantology, oral surgery, oral radiology, orthodontics, and prosthodontics, among others.

Medicine --- machine learning --- artificial intelligence --- malocclusion --- diagnostic imaging --- active learning --- maxillary sinusitis --- convolutional neural network --- deep learning --- segmentation --- oral microbiota --- LEfSe --- PCoA --- alloprevotella --- prevotella --- core microbiota --- artificial neural networks --- oral cancer diagnosis --- oral cancer prediction --- pit and fissure sealants --- caries assessment --- visual examination --- clinical evaluation --- convolutional neural networks --- transfer learning --- deep learning network --- YOLOv4 --- mandibular third molar --- inferior alveolar nerve --- contact relationship --- panoramic radiograph --- deep learning methods --- caries diagnosis --- dental panoramic images --- radiography --- Fourier transform infrared spectroscopy --- FTIR imaging --- spectral biomarker --- multivariate analysis --- discriminant model --- oral squamous cell carcinoma --- oral epithelial dysplasia --- oral potentially malignant disorder --- risk stratification --- early oral cancer detection --- dentigerous cysts --- histopathology images --- image classification --- odontogenic keratocysts --- radicular cysts --- AI --- screening --- diagnosis --- dentistry --- ultrasonography --- tongue --- algorithm --- dysphagia --- impacted --- tooth --- detection --- neural networks --- proximal caries --- training strategy --- small dataset --- periapical radiograph --- X-ray --- tooth extraction --- oroantral fistula --- operative planning --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This Special Issue is intended to lay the foundation of AI applications focusing on oral health, including general dentistry, periodontology, implantology, oral surgery, oral radiology, orthodontics, and prosthodontics, among others.

Medicine --- machine learning --- artificial intelligence --- malocclusion --- diagnostic imaging --- active learning --- maxillary sinusitis --- convolutional neural network --- deep learning --- segmentation --- oral microbiota --- LEfSe --- PCoA --- alloprevotella --- prevotella --- core microbiota --- artificial neural networks --- oral cancer diagnosis --- oral cancer prediction --- pit and fissure sealants --- caries assessment --- visual examination --- clinical evaluation --- convolutional neural networks --- transfer learning --- deep learning network --- YOLOv4 --- mandibular third molar --- inferior alveolar nerve --- contact relationship --- panoramic radiograph --- deep learning methods --- caries diagnosis --- dental panoramic images --- radiography --- Fourier transform infrared spectroscopy --- FTIR imaging --- spectral biomarker --- multivariate analysis --- discriminant model --- oral squamous cell carcinoma --- oral epithelial dysplasia --- oral potentially malignant disorder --- risk stratification --- early oral cancer detection --- dentigerous cysts --- histopathology images --- image classification --- odontogenic keratocysts --- radicular cysts --- AI --- screening --- diagnosis --- dentistry --- ultrasonography --- tongue --- algorithm --- dysphagia --- impacted --- tooth --- detection --- neural networks --- proximal caries --- training strategy --- small dataset --- periapical radiograph --- X-ray --- tooth extraction --- oroantral fistula --- operative planning