AI Medical Compendium Journal:
Seminars in cancer biology

Showing 1 to 10 of 28 articles

Mechanisms and Applications of Apolipoproteins and Apolipoprotein Mimetic Peptides: Common Pathways in Cardiovascular Disease and Cancer.

Seminars in cancer biology
Apolipoproteins are the defining functional component of lipoproteins and play critical roles in lipid transport and metabolism. High-density lipoprotein (HDL) and its primary functional constituent, apolipoprotein A-I, are of particular importance b...

From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction.

Seminars in cancer biology
Pancreatic ductal adenocarcinoma (PDAC) is recognized as one of the most lethal malignancies, characterized by late-stage diagnosis and limited therapeutic options. Risk stratification has traditionally been performed using epidemiological studies an...

Biomarkers, omics and artificial intelligence for early detection of pancreatic cancer.

Seminars in cancer biology
Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed in its late stages when treatment options are limited. Unlike other common cancers, there are no population-wide screening programmes for PDAC. Thus, early disease detection, although ur...

One label is all you need: Interpretable AI-enhanced histopathology for oncology.

Seminars in cancer biology
Artificial Intelligence (AI)-enhanced histopathology presents unprecedented opportunities to benefit oncology through interpretable methods that require only one overall label per hematoxylin and eosin (H&E) slide with no tissue-level annotations. We...

Artificial intelligence-based radiomics in bone tumors: Technical advances and clinical application.

Seminars in cancer biology
Radiomics is the extraction of predefined mathematic features from medical images for predicting variables of clinical interest. Recent research has demonstrated that radiomics can be processed by artificial intelligence algorithms to reveal complex ...

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives.

Seminars in cancer biology
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate anatomical structure of these regions poses considerable challenges to effi...

Accelerating antibody discovery and design with artificial intelligence: Recent advances and prospects.

Seminars in cancer biology
Therapeutic antibodies are the largest class of biotherapeutics and have been successful in treating human diseases. However, the design and discovery of antibody drugs remains challenging and time-consuming. Recently, artificial intelligence technol...

Artificial intelligence-aided optical imaging for cancer theranostics.

Seminars in cancer biology
The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high accuracy and high efficiency in medical decision-making for individualized cancer medicine. In particular, optical imaging methods are able to visualize b...

Radiomics and artificial intelligence for precision medicine in lung cancer treatment.

Seminars in cancer biology
Lung cancer is the leading cause of cancer-related deaths worldwide. It exhibits, at the mesoscopic scale, phenotypic characteristics that are generally indiscernible to the human eye but can be captured non-invasively on medical imaging as radiomic ...

Application of artificial intelligence for improving early detection and prediction of therapeutic outcomes for gastric cancer in the era of precision oncology.

Seminars in cancer biology
Gastric cancer is a leading contributor to cancer incidence and mortality globally. Recently, artificial intelligence approaches, particularly machine learning and deep learning, are rapidly reshaping the full spectrum of clinical management for gast...